CN118465581A - Energy storage power station SOC calibration method, system, electronic equipment and readable medium - Google Patents
Energy storage power station SOC calibration method, system, electronic equipment and readable medium Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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Abstract
The invention discloses an energy storage power station SOC calibration method, an energy storage power station SOC calibration system, electronic equipment and a readable medium; the method for calibrating the SOC of the energy storage power station comprises the following steps: receiving an SOC calibration signal sent by an energy storage battery bin to be calibrated; judging whether the SOC calibration is suitable for the energy storage battery bin to be calibrated at present or not based on the current power output value, the future planned value and the full charge or full discharge estimated time of the energy storage battery bin to be calibrated of the energy storage power station; if so, calculating the power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station so as to redistribute the power output value of each energy storage unit in the energy storage power station. According to the energy storage power station SOC calibration method, the system, the electronic equipment and the readable medium, through dynamic power management, the system can accurately calculate and adjust the power target value of the energy storage unit, and more accurate SOC calibration is realized; and when the SOC calibration is performed, the scheduling requirement of the power grid is considered, and the responsiveness and the reliability of the energy storage power station to the power grid service are ensured.
Description
Technical Field
The invention belongs to the technical field of measuring electric variables, and particularly relates to an energy storage power station SOC calibration method, an energy storage power station SOC calibration system, electronic equipment and a readable medium.
Background
In modern power systems, large electrochemical energy storage plants play a vital role, especially in peak Gu Fuzai regulation, frequency regulation, and providing emergency back-up power. Lithium ion batteries are commonly used as energy storage media in the power stations, and the power stations have the advantages of high energy density, high charge and discharge efficiency, long service life and the like. However, in actual operation, the ability to precisely control and manage these power stations is limited by a number of key technical issues, particularly those associated with accurate estimation of the state of charge (SOC) of the battery.
The Energy Management System (EMS) of the energy storage power station is responsible for receiving dispatching instructions of the power grid, adjusting the output of the power station according to the instructions, and meanwhile, the electric quantity balance of each energy storage unit in the power station is required to be maintained. The accurate reading of the SOC not only affects the response efficiency of the power station to the external power grid dispatching instruction, but also directly relates to the safety and economy of the operation of the power station. However, the SOC of a lithium ion battery is difficult to accurately measure and predict due to physical and chemical properties of the battery, and limitations of the prior art conditions.
The prior art attempts to improve the estimation accuracy of SOC by improving the production and manufacturing processes of the battery in a first way, enhancing the consistency between battery products, to reduce the SOC estimation error due to the product variation. However, this approach places high demands on the battery manufacturer, requiring the manufacturer to constantly optimize the production process, while the improvement is complex and costly in the face of numerous battery manufacturers and product variances.
The second approach is to improve SOC estimation algorithms, such as neural network algorithms, kalman filtering, and multi-algorithm integration, to be incorporated into SOC estimation. These algorithms can theoretically improve the accuracy of the estimation, but they rely on accurate battery base models and extensive charge and discharge data support, and the acquisition of these data is affected by battery production variations and usage condition variations, making the practical application of the algorithm undesirable.
Therefore, in view of the above technical problems, it is necessary to provide a new solution.
Disclosure of Invention
The invention aims to provide an energy storage power station SOC calibration method, an energy storage power station SOC calibration system, electronic equipment and a readable medium, which can realize accurate calibration of the SOC of an energy storage battery bin of an energy storage power station.
In order to achieve the above purpose, the technical scheme provided by the invention is as follows:
In a first aspect, the present invention provides a method for calibrating SOC of an energy storage power station, comprising:
Receiving an SOC calibration signal sent by an energy storage battery bin to be calibrated;
judging whether the SOC calibration is suitable for the energy storage battery bin to be calibrated at present or not based on the current power output value, the future planned value and the full charge or full discharge estimated time of the energy storage battery bin to be calibrated of the energy storage power station;
if yes, calculating a power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station;
And based on the power target value of each energy storage unit, the power output value of each energy storage unit in the energy storage power station is redistributed, so that the energy storage battery bin to be calibrated can finish full charge or full discharge calibration in the current dispatching instruction period of the power grid dispatching center, and the energy storage power station can meet the dispatching requirement in the current dispatching instruction period.
In one or more embodiments, the energy storage battery compartment to be calibrated periodically transmits an SOC calibration signal or transmits an SOC calibration signal when the state is abnormal.
In one or more embodiments, determining whether to perform SOC calibration on the energy storage battery compartment to be calibrated currently based on a current power output value and a future planned value of the energy storage power station includes:
If the current power output value and the future planned value of the energy storage power station can meet the power and capacity requirements required by full charge or full discharge of the battery compartment to be calibrated in the current dispatching instruction period of the power grid dispatching center, the method is suitable for SOC calibration of the battery compartment to be calibrated;
If the current power output value and the future planned value of the energy storage power station can not meet the power and capacity requirements required by full charge or full discharge of the battery compartment to be calibrated in the current dispatching instruction period of the power grid dispatching center, the SOC calibration of the battery compartment to be calibrated is not suitable currently.
In one or more embodiments, the method further comprises:
If the SOC calibration is not suitable for the to-be-calibrated energy storage battery bin currently, predicting whether a calibration time point suitable for the SOC calibration of the to-be-calibrated energy storage battery bin exists in a future preset time based on a future planned value of an energy storage power station;
if yes, judging whether the SOC calibration of the energy storage battery bin to be calibrated is proper or not again when the predicted calibration time point is reached;
If not, generating corresponding alarm information.
In one or more embodiments, reassigning power take-off values for each energy storage unit within an energy storage power station includes:
generating a power value distribution array of each energy storage unit based on the current power output value and the power target value of each energy storage unit in the energy storage power station, wherein the power value distribution array comprises power values of the current power output values of a plurality of self-energy storage units which are successively approximate to the power target value;
And based on the power value distribution array of each energy storage unit, the current power output value of each energy storage unit is adjusted to the power target value successively.
In one or more embodiments, the method further comprises:
And after the to-be-calibrated energy storage battery bin finishes SOC calibration, recalculating a power target value of each energy storage unit in the energy storage power station, and reallocating a power output value of each energy storage unit in the energy storage power station based on the power target value.
In one or more embodiments, the method further comprises:
And in a preset period, if the number of the energy storage battery bins transmitting the SOC calibration signals exceeds a preset number in the plurality of energy storage battery bins under the same feeder line of the energy storage power station, carrying out SOC calibration on all the energy storage battery bins under the feeder line.
In a second aspect, the present invention provides an energy storage power station SOC calibration system comprising: the device comprises a receiving module, a judging module, a calculating module and an allocating module; the receiving module is used for receiving the SOC calibration signal sent by the energy storage battery bin to be calibrated; the judging module is used for judging whether the SOC calibration is suitable for the energy storage battery bin to be calibrated at present or not based on the current power output value, the future planned value and the full charge or full discharge estimated time of the energy storage battery bin to be calibrated of the energy storage power station; the calculation module is used for calculating the power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station; the distribution module is used for re-distributing the power output value of each energy storage unit in the energy storage power station based on the power target value of each energy storage unit, so that the energy storage battery bin to be calibrated can complete full charge or full discharge calibration in the current dispatching instruction period of the power grid dispatching center, and the energy storage power station can meet the dispatching requirement in the current dispatching instruction period.
In a third aspect, the invention provides an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the energy storage power station SOC calibration method as described above when executing the program.
In a fourth aspect, the present invention provides a computer readable medium having computer executable instructions carried therein, which when executed by a processor are adapted to carry out the method of calibrating the SOC of an energy storage power station as described above.
Compared with the prior art, the energy storage power station SOC calibration method, the system, the electronic equipment and the readable medium provided by the invention have the following advantages:
① Through dynamic power management, the system can accurately calculate and adjust the power target value of the energy storage unit, and more accurate SOC calibration is realized;
② When SOC calibration is executed, the scheduling requirement of the power grid is considered, and the responsiveness and reliability of the energy storage power station to the power grid service are ensured;
③ Through intelligent power distribution, the operation efficiency of the energy storage power station is improved, and the response of the power station to the power grid dispatching instruction is optimized;
④ By predicting and judging a proper calibration time point, the system avoids calibration in a power grid load peak or unstable period, and reduces potential operation risk;
⑤ The SOC calibration can be timely carried out, so that the health state of the battery can be maintained, the service life of the battery can be prolonged, and the economy of the energy storage power station can be improved;
⑥ The automatic SOC calibration decision and execution flow can be realized, the manual intervention is reduced, and the safety and accuracy of operation are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a block diagram of an energy storage plant according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for calibrating an SOC of an energy storage power station according to an embodiment of the invention;
FIG. 3 is a schematic diagram of an SOC calibration system of an energy storage power station according to an embodiment of the present invention;
Fig. 4 is a schematic diagram of an electronic device according to an embodiment of the invention.
Detailed Description
In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In modern power systems, energy storage power stations play a critical role, particularly in providing frequency modulation, load balancing, and emergency response. Most of these power stations use lithium ion batteries because of their high energy density and good cycle performance. However, one of the core problems of battery management is an accurate estimation of state of charge (SOC), which directly affects the operating efficiency of the power station and the grid quality of service. The prior art has a plurality of limitations in SOC estimation, mainly because the performance of the battery is affected by various factors, such as inconsistency of battery manufacturing, variability of use conditions and limitation of estimation models, so that the power output and the energy storage level of the power station cannot be accurately controlled.
In the prior art, although attempts have been made to improve accuracy by improving the manufacturing process of the battery, using advanced algorithms for SOC estimation, etc., these methods often require reliance on accurate battery models and extensive operational data, which are complex to implement and difficult to accommodate for rapidly changing grid requirements. In addition, existing methods often fail to effectively integrate the real-time power demand of the power station with the battery calibration process, which may result in the power station failing to meet the power demand of the power grid during high demand periods, affecting the overall stability of the system.
The SOC estimation result of the Battery Management System (BMS) is calibrated for the full charge and discharge of the energy storage battery compartment period, and is an effective SOC estimation mode. However, this approach requires full charge and discharge SOC calibration of the energy storage battery compartment. If the SOC calibration is not performed, the true SOC value of the energy storage battery bin cannot be known, the EMS system cannot perform charge and discharge control on the energy storage power station stably and reliably, the response of the energy storage power station to the adjustment instruction is affected, and further the income of the energy storage power station is affected. If whole-station SOC calibration or in-station partition calibration is performed, the related battery modules are generally required to be off-grid, and full charge and discharge operations are performed independently, so that the normal operation of the energy storage power station can still be influenced.
In view of the technical limitations, the invention provides a novel calibration method for the SOC of an energy storage power station, which aims to improve the accuracy of SOC estimation and simultaneously ensure that the power station can meet the power requirement of a power grid in the calibration process. The invention has the core thought that the power distribution of the energy storage unit is intelligently adjusted by comprehensively considering the current power output of the power station, the future power grid demand and the charge and discharge states of the battery bin through a dynamic decision system, so that the SOC calibration of the battery bin is realized under the condition that the normal operation of the energy storage power station is not influenced.
Fig. 1 is a schematic diagram of an energy storage power station architecture in an exemplary implementation scenario of the present invention. In the implementation scenario shown in fig. 1, the energy storage power station includes an EMS system, a plurality of PCS (energy storage inverters) and a plurality of energy storage battery bins. Wherein, all PCS are connected to EMS system through a plurality of feeder lines, each feeder line is connected with at least one PCS. Each energy storage battery bin is provided with a BMS system, the BMS of each energy storage battery bin is connected with a PCS, and each PCS is connected with at least the BMS of one energy storage battery bin. Each PCS and an energy storage battery bin connected with each PCS form an energy storage unit together.
The energy storage power station EMS system receives and analyzes various power response instructions such as primary frequency modulation, dynamic voltage regulation, AGC (automatic power generation control), AVC (automatic voltage control), peak clipping and valley filling and the like issued by the power grid dispatching center, and distributes a power target value to an available energy storage unit in the station.
The BMS is responsible for the routine monitoring of the energy storage battery bin and sends an SOC calibration signal to the energy storage power station EMS system. The EMS system can be triggered by the calibration requirements by receiving SOC calibration signals from the battery compartment, which may be based on periodic calibration or battery state anomalies.
The EMS system intelligently judges whether the calibration of the SOC of the energy storage battery bin is suitable or not by analyzing the real-time power output value, the future planned value and the estimated charge and discharge time of the energy storage battery bin of the power station. If the calibration of the energy storage battery bin for transmitting the SOC calibration signal is determined, the EMS system recalculates and distributes the power output of each energy storage unit according to the power demand of the current energy storage power station and the power grid dispatching instruction, so that the battery bin can finish the calibration without affecting the power grid service.
Referring to fig. 2, a flowchart of an SOC calibration method for an energy storage power station according to an embodiment of the invention is shown. The method for calibrating the SOC of the energy storage power station specifically comprises the following steps:
s201: and receiving an SOC calibration signal sent by the energy storage battery bin to be calibrated.
It should be noted that, an Energy Management System (EMS) of the energy storage power station may receive, in real time, an SOC (State of Charge) calibration signal sent by the energy storage battery compartment to be calibrated through the receiving module. These signals are automatically generated by the BMS system of the energy storage battery compartment according to a series of preset conditions. For example, when the battery internal monitoring system detects a decrease in battery performance or reaches a certain number of cycles, the transmission of the SOC calibration signal may be triggered.
In an exemplary embodiment, the energy storage battery compartment to be calibrated may periodically send the SOC calibration signal or send the SOC calibration signal when the state is abnormal.
Specifically, the BMS may be programmed to automatically detect the SOC of the energy storage battery compartment at a set period (e.g., once a week) and automatically send an SOC calibration signal when the battery SOC is detected to deviate from a preset range. The time may be tracked by a timer or calendar function in the BMS, which automatically performs the SOC detection routine once a predetermined calibration period is reached, and decides whether to send the SOC calibration signal based on the result.
The BMS continuously monitors key parameters (e.g., voltage, current, temperature, etc.) of the energy storage battery compartment and compares the parameters with preset health standards by analyzing the parameters in real time. Upon detecting a parameter anomaly (e.g., poor cell voltage consistency, oftentimes non-uniform charge and discharge), the BMS immediately generates and sends an SOC calibration signal to the EMS, suggesting that calibration or further inspection may be required.
After the BMS transmits the SOC calibration signal according to the state abnormality, the BMS resets the transmission period of the SOC calibration signal, and avoids transmitting the SOC calibration signal for a plurality of times in the same transmission period.
This mechanism of sending the calibration signal allows maintenance of the energy storage battery compartment to be limited to the reaction after the failure. Through periodic inspection and anomaly monitoring, the battery can be maintained prophylactically, avoiding serious battery damage and performance degradation.
In an exemplary embodiment, for all energy storage units under the same feeder line in the energy storage power station, the calibration period of the energy storage battery bin under the feeder line is similar due to the similar operation period. Therefore, in a preset period, if the number of the energy storage battery bins transmitting the SOC calibration signals exceeds a preset number in the plurality of energy storage battery bins under the same feeder line of the energy storage power station, carrying out SOC calibration on all the energy storage battery bins under the feeder line.
The centralized monitoring system can be responsible for receiving and recording the calibration signals for all the energy storage battery bins under the same feeder line. A predetermined signal threshold is set, for example, if 50% of the battery bins under the same feeder send calibration signals, a collective calibration decision is triggered (all of the energy storage battery bins under the same feeder are calibrated as one large energy storage unit). A database and decision support software may be used to count the number of calibration signals received and automatically determine if the collective calibration conditions are met.
For example, a feeder X is provided in an energy storage power station, and 5 energy storage battery bins are connected. In the monitoring period of 10 hours, 3 battery bins under the feeder X send out SOC calibration signals, and the SOC calibration signals exceed 50% of the total number of the battery bins, so that a collective calibration decision is triggered. The EMS may select the appropriate calibration occasions to perform SOC calibration for all 5 battery bins under the feeder X.
S202: and judging whether the SOC calibration is suitable for the to-be-calibrated energy storage battery bin or not at present based on the current power output value, the future planned value and the full charge or full discharge estimated time of the to-be-calibrated energy storage battery bin of the energy storage power station.
It should be noted that, the current power output value refers to the power actually output by the energy storage power station at the current moment; the future planned value refers to the power which the energy storage power station predicts to output in a future period of time according to the predicted or grid scheduling requirements; the estimated time for full charge or full discharge refers to the estimated time required to complete full charge or full discharge of the energy storage battery compartment to be calibrated.
The EMS system can monitor the power output value of the power station in real time through the integrated sensor and the data acquisition system, and estimate future power demand planning values through a prediction tool or software. A risk assessment model may be used to analyze the feasibility and risk of performing calibration under current grid requirements and plant operating conditions. The model takes into account the effects that the calibration operation may have on plant operation and grid stability. A decision support algorithm may be employed to comprehensively analyze the current power data, future schedule values, and time required for calibration, outputting decision advice as to whether to perform calibration.
In an exemplary embodiment, if the current power output value and the future planned value of the energy storage power station can meet the power and capacity requirements required by full charge or full discharge of the battery compartment to be calibrated in the current dispatching instruction period of the power grid dispatching center, the SOC calibration of the battery compartment to be calibrated is currently suitable.
If the current power output value and the future planned value of the energy storage power station can not meet the power and capacity requirements required by full charge or full discharge of the battery compartment to be calibrated in the current dispatching instruction period of the power grid dispatching center, the SOC calibration of the battery compartment to be calibrated is not suitable currently.
For example, assuming an energy storage power station with a current power take-off of 50MW, the power station output is required to settle at 60MW by the power grid dispatch program for the next hour. Meanwhile, the energy storage battery compartment to be calibrated requires 30 minutes of full discharge to complete the calibration. If the plant has enough spare capacity to compensate for this calibration operation for the next hour, the EMS system will decide to perform the calibration. If there is insufficient spare capacity, the EMS system may defer calibration operations.
In an exemplary embodiment, if the SOC calibration of the energy storage battery compartment to be calibrated is not currently suitable, based on a future planned value of the energy storage power station, predicting whether a calibration time point suitable for SOC calibration of the energy storage battery compartment to be calibrated exists within a future predetermined time; if yes, judging whether the SOC calibration of the energy storage battery bin to be calibrated is proper or not again when the predicted calibration time point is reached; if not, generating corresponding alarm information.
If the SOC calibration is not suitable at the current time, the EMS system predicts whether a suitable time point is available in the future for the calibration based on the future power output plan of the energy storage power station. Once the predicted calibration time point is reached, the EMS system needs to re-evaluate whether to calibrate or not and consider the latest plant operating state and grid requirements. If the appropriate calibration time point is not found, the EMS system will generate an alarm message, prompting the operator that additional manual action may be required.
The EMS system may use a predictive algorithm (e.g., a machine-learning based time series predictive model) to predict the power demand and availability of the energy storage power station over a range of time in the future. This includes consideration of seasonal variations, historical data, weather conditions, and market rates.
The EMS system automatically analyzes the forecast data to identify periods of time where grid demand is relatively low and plant operating costs are minimal, which are considered to be the best points in time for SOC calibration. Near each predicted calibration time point, the EMS system will re-evaluate the current plant power output situation and grid demand to determine if the preliminary predicted conditions are met. If the condition changes result in the predicted point in time no longer fitting, the EMS system recalculates the next possible point in time.
If no suitable calibration time point is found within a reasonable time frame, the system triggers an alarm informing the operator that manual intervention is required to further analyze the situation or adjust the calibration strategy.
For example, during peak hours of the day, the power output value and future schedule values of the energy storage power station in the current instruction period cannot meet the power and capacity requirements required for full charge or full discharge of the energy storage battery compartment to be calibrated, and thus are currently unsuitable for SOC calibration. By prediction, the EMS finds that the grid load will drop significantly during the late night hours, and a suitable calibration time point is expected to occur. The EMS marks this point in time as a potential calibration instant and re-evaluates whether SOC calibration is performed when this instant comes. If the predictions show that the grid load will remain high for several days in the future, without a suitable calibration time point, the EMS will generate an alarm indicating that manual intervention or adjustment of the plant operating strategy may be required.
S203: if yes, calculating the power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station.
It should be noted that if the energy storage power station is currently suitable for SOC calibration of the energy storage battery compartment to be calibrated. The power target value to be achieved by each energy storage unit can be calculated based on the current power output value of the energy storage power station. This calculation is to ensure that the energy storage power station can effectively meet the demands of the grid and optimize the operating efficiency of the power station even while performing SOC calibration.
The total power output of the current power station can be evaluated by using a data analysis tool, and the power level required to be achieved by each energy storage unit is determined by combining the total requirement of the power grid. Considering that the energy storage unit which is being subjected to SOC calibration needs to exert a preferential force (improve the force output value), so as to ensure that the energy storage unit to be calibrated can complete the calibration flow, the power burden of other energy storage units needs to be reduced, and the total power output meets the requirement.
An optimization algorithm, such as a linear programming or load balancing algorithm, may be used to calculate the power that the non-calibrated energy storage unit should reduce to maintain the total power output value of the plant.
For example, an energy storage plant has 5 energy storage units, each capable of providing 3MW of power when operating normally. Assuming that the current power grid instruction period requires to provide 10MW power output, if a certain unit in the middle sends an SOC calibration signal, the EMS judges whether the calibration operation of the unit can be completed in the residual time of the current instruction period, if so, the power output value of the unit is calculated and improved, meanwhile, the power output of other units is reduced, and the total output value of the power station is ensured to be 10MW. .
S204: and based on the power target value of each energy storage unit, the power output value of each energy storage unit in the energy storage power station is redistributed, so that the energy storage battery bin to be calibrated can finish full charge or full discharge calibration in the current dispatching instruction period of the power grid dispatching center, and the energy storage power station can meet the dispatching requirement in the current dispatching instruction period.
It should be noted that the power target value refers to a power output that each energy storage unit needs to achieve in order to meet the grid dispatching requirement. The power output value is redistributed, namely the actual power output of each energy storage unit is adjusted according to the calculated power target value so as to ensure that the total power of the power station meets the power grid requirement.
A dynamic power management system may be used to adjust the power output of each energy storage unit. The system receives the power target value from the EMS and adjusts the output of each unit in real time to accommodate grid requirements and calibration requirements. The dynamic power management system may utilize a control algorithm (e.g., a PID controller or a fuzzy logic controller) to fine tune the power output to ensure that each energy storage unit is able to achieve its set power target.
In an exemplary embodiment, a power value distribution array of each energy storage unit is generated based on the current power output value and the power target value of each energy storage unit in the energy storage power station, wherein the power value distribution array comprises power values of a plurality of self-energy storage units, wherein the power values of the current power output values of the self-energy storage units are successively approximate to the power target value; and based on the power value distribution array of each energy storage unit, the current power output value of each energy storage unit is adjusted to the power target value successively.
A software algorithm may be used to receive the real-time power output value and the set power target value for each energy storage unit, and based on the current power output value and the target value, an array of intermediate power values may be generated, the values constituting a transition path from the current state to the target state. And according to the sequence in the power value distribution array, the actual power output of each energy storage unit is gradually adjusted until the required power target value is reached.
For example, assume an energy storage plant has three energy storage units (unit 1, unit 2, and unit 3), with current power take-off values of 10MW,15MW, and 20MW, respectively. Target power values were set to 15MW,10MW, and 25MW, respectively. First, the system will calculate a power adjustment array for each unit, such as:
Unit 1: [10MW,11MW,12MW, ], 15MW ]
Unit 2: [15MW,14MW,13MW, ], 10MW ]
Unit 3: [20MW,21MW,22MW, ], 25MW ]
Then, the system can gradually adjust the power output of each energy storage unit according to the arrays until the target power of each energy storage unit is reached, so that smooth transition of the power output value of the energy storage unit is realized, and impact on a power grid is avoided.
In an exemplary embodiment, after the SOC calibration of the to-be-calibrated energy storage battery compartment is completed, the power target value of each energy storage unit in the energy storage power station is recalculated, and the power output value of each energy storage unit in the energy storage power station is redistributed based on the power target value.
After the SOC calibration of the energy storage battery compartment to be calibrated is completed, the power distribution of the whole energy storage power station may be affected because the energy storage unit after the SOC calibration is not output before the charge and discharge states of the energy storage power station are switched. Therefore, the power target value to be achieved by each energy storage unit needs to be recalculated to ensure that the overall power output of the power station is matched with the power grid demand, so that the energy storage power station can quickly recover to an optimal running state after the SOC calibration, and the scheduling demand of the power grid is continuously met.
For example, the energy storage power station has 4 energy storage battery bins, the SOC calibration is completed by the energy storage battery bins 4, and the energy storage battery bins 4 do not exert force any more before the charge and discharge states of the energy storage power station are switched. The current power grid demand is 450kW, i.e. the total output of the energy storage power station is 450kW. The EMS calculates that the new power target value of the other 3 energy storage battery bins is 450kW, and decides to adjust the power output values of the other three battery bins to 130kW, 140kW and 180kW respectively so as to meet the total requirement of the power grid.
In summary, according to the method for calibrating the SOC of the energy storage power station, through dynamic power management, the system can accurately calculate and adjust the power target value of the energy storage unit, so that more accurate SOC calibration is realized; when SOC calibration is executed, the scheduling requirement of the power grid is considered, and the responsiveness and reliability of the energy storage power station to the power grid service are ensured; through intelligent power distribution, the operation efficiency of the energy storage power station is improved, and the response of the power station to the power grid dispatching instruction is optimized; by predicting and judging a proper calibration time point, the system avoids calibration in a power grid load peak or unstable period, and reduces potential operation risk; the SOC calibration can be timely carried out, so that the health state of the battery can be maintained, the service life of the battery can be prolonged, and the economy of the energy storage power station can be improved; the design of the system realizes automatic SOC calibration decision and execution flow, reduces manual intervention, and improves the safety and accuracy of operation.
Referring to fig. 3, based on the same inventive concept as the aforementioned method for calibrating the SOC of the energy storage power station, the present invention provides an SOC calibration system 300 for the energy storage power station, which includes: a receiving module 301, a judging module 302, a calculating module 303 and an allocating module 304.
The receiving module 301 is configured to receive an SOC calibration signal sent by the energy storage battery compartment to be calibrated. The judging module 302 is configured to judge whether it is currently suitable to perform SOC calibration on the energy storage battery compartment to be calibrated based on the current power output value, the future planned value and the estimated time of full charge or full discharge of the energy storage battery compartment to be calibrated of the energy storage power station. The calculating module 303 is configured to calculate a power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station. The allocation module 304 is configured to reallocate a power output value of each energy storage unit in the energy storage power station based on a power target value of each energy storage unit, so that the energy storage battery compartment to be calibrated can complete full charge or full discharge calibration in a current dispatching instruction period of the power grid dispatching center, and the energy storage power station can meet a dispatching requirement in the current dispatching instruction period.
Referring to fig. 4, an embodiment of the present invention further provides an electronic device 400, where the electronic device 400 includes at least one processor 401, a memory 402 (e.g., a nonvolatile memory), a memory 403, and a communication interface 404, and the at least one processor 401, the memory 402, the memory 403, and the communication interface 404 are connected together via a bus 405. The at least one processor 401 is configured to invoke the at least one program instruction stored or encoded in the memory 402 to cause the at least one processor 401 to perform the various operations and functions of the energy storage power station SOC calibration method described in various embodiments of the present description.
In embodiments of the present description, electronic device 400 may include, but is not limited to: personal computers, server computers, workstations, desktop computers, laptop computers, notebook computers, mobile electronic devices, smart phones, tablet computers, cellular phones, personal Digital Assistants (PDAs), handsets, messaging devices, wearable electronic devices, consumer electronic devices, and the like.
Embodiments of the present invention also provide a computer readable medium having computer-executable instructions carried thereon, which when executed by a processor, may be used to implement the various operations and functions of the energy storage power station SOC calibration method described in the various embodiments of the present specification.
The computer readable medium in the present invention may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, systems, and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (10)
1. The method for calibrating the SOC of the energy storage power station is characterized by comprising the following steps of:
Receiving an SOC calibration signal sent by an energy storage battery bin to be calibrated;
judging whether the SOC calibration is suitable for the energy storage battery bin to be calibrated at present or not based on the current power output value, the future planned value and the full charge or full discharge estimated time of the energy storage battery bin to be calibrated of the energy storage power station;
if yes, calculating a power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station;
And based on the power target value of each energy storage unit, the power output value of each energy storage unit in the energy storage power station is redistributed, so that the energy storage battery bin to be calibrated can finish full charge or full discharge calibration in the current dispatching instruction period of the power grid dispatching center, and the energy storage power station can meet the dispatching requirement in the current dispatching instruction period.
2. The method for calibrating the SOC of the energy storage power station of claim 1, wherein the energy storage battery compartment to be calibrated periodically transmits the SOC calibration signal or transmits the SOC calibration signal when the state is abnormal.
3. The method of claim 1, wherein determining whether to currently calibrate the SOC of the energy storage battery compartment to be calibrated based on the current power output value and the future planned value of the energy storage power station comprises:
If the current power output value and the future planned value of the energy storage power station can meet the power and capacity requirements required by full charge or full discharge of the battery compartment to be calibrated in the current dispatching instruction period of the power grid dispatching center, the method is suitable for SOC calibration of the battery compartment to be calibrated;
If the current power output value and the future planned value of the energy storage power station can not meet the power and capacity requirements required by full charge or full discharge of the battery compartment to be calibrated in the current dispatching instruction period of the power grid dispatching center, the SOC calibration of the battery compartment to be calibrated is not suitable currently.
4. The energy storage power station SOC calibration method of claim 3, further comprising:
If the SOC calibration is not suitable for the to-be-calibrated energy storage battery bin currently, predicting whether a calibration time point suitable for the SOC calibration of the to-be-calibrated energy storage battery bin exists in a future preset time based on a future planned value of an energy storage power station;
if yes, judging whether the SOC calibration of the energy storage battery bin to be calibrated is proper or not again when the predicted calibration time point is reached;
If not, generating corresponding alarm information.
5. The method of calibrating an SOC of an energy storage plant of claim 1, wherein reassigning power take-off values for each energy storage unit within the energy storage plant comprises:
generating a power value distribution array of each energy storage unit based on the current power output value and the power target value of each energy storage unit in the energy storage power station, wherein the power value distribution array comprises power values of the current power output values of a plurality of self-energy storage units which are successively approximate to the power target value;
And based on the power value distribution array of each energy storage unit, the current power output value of each energy storage unit is adjusted to the power target value successively.
6. The energy storage power station SOC calibration method of claim 1, further comprising:
And after the to-be-calibrated energy storage battery bin finishes SOC calibration, recalculating a power target value of each energy storage unit in the energy storage power station, and reallocating a power output value of each energy storage unit in the energy storage power station based on the power target value.
7. The energy storage power station SOC calibration method of claim 1, further comprising:
And in a preset period, if the number of the energy storage battery bins transmitting the SOC calibration signals exceeds a preset number in the plurality of energy storage battery bins under the same feeder line of the energy storage power station, carrying out SOC calibration on all the energy storage battery bins under the feeder line.
8. An energy storage power station SOC calibration system, comprising:
The receiving module is used for receiving the SOC calibration signal sent by the energy storage battery bin to be calibrated;
The judging module is used for judging whether the SOC calibration is suitable for the energy storage battery bin to be calibrated at present or not based on the current power output value, the future planned value and the full charge or full discharge estimated time of the energy storage battery bin to be calibrated of the energy storage power station;
the calculation module is used for calculating the power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station;
the distribution module is used for re-distributing the power output value of each energy storage unit in the energy storage power station based on the power target value of each energy storage unit, so that the energy storage battery bin to be calibrated can complete full charge or full discharge calibration in the current dispatching instruction period of the power grid dispatching center, and the energy storage power station can meet the dispatching requirement in the current dispatching instruction period.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the energy storage power station SOC calibration method of any of claims 1-7 when the program is executed by the processor.
10. A computer readable medium having computer executable instructions carried therein, which when executed by a processor is adapted to carry out the method of calibrating the SOC of an energy storage power station as claimed in any of claims 1 to 7.
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