CN108808744A - There are the active control method for coordinating and system of the grid-connected power generation system of energy storage participation - Google Patents
There are the active control method for coordinating and system of the grid-connected power generation system of energy storage participation Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 313
- 238000010248 power generation Methods 0.000 title claims abstract description 163
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H02J3/383—
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- H02J3/386—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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Abstract
The present invention provide it is a kind of have energy storage participate in grid-connected power generation system active control method for coordinating and system, this method include：Unit in grid-connected power generation system is divided into wind-powered electricity generation, photoelectricity and energy-storage units；Determine the parameters such as optimization cycle and intraday optimization cycle number and Acquisition channel capacity；The active power that wind-powered electricity generation, photoelectricity and energy storage are sent out is added, and structure is to there is the grid-connected active power of grid-connected power generation system that energy storage participates in be up to the Optimized model of object function；The Optimized model is optimized in conjunction with a variety of constraintss, obtain the charge and discharge plan of active power output and energy storage in optimization cycle of wind-powered electricity generation, photoelectricity in optimization cycle when object function reaches maximum, it is issued to each new energy station and energy-storage units respectively, so that it is at runtime from the corresponding reference value of motion tracking.The present invention can provide energy storage when new energy is contributed and constrained by Transmission Corridor and support, reduction system abandons wind and abandons optical quantum, improve generation of electricity by new energy unit and utilize hourage.
Description
Technical Field
The invention belongs to the technical field of power system scheduling, and particularly relates to an active coordination control method and system of a new energy power generation system with energy storage participation.
Background
Intermittent energy source grid connection such as wind power generation and photovoltaic power generation brings profound influence on a power grid, and because the power generation characteristics of the wind power generation and photovoltaic power generation are greatly different from those of conventional power generation, how to reduce impact brought by large-scale wind and photovoltaic grid connection on the power grid is an urgent problem in the industry. The large-scale centralized development of new energy cannot be completely absorbed by local loads and needs to be transmitted outwards through a high-voltage transmission line. When the generated power of the new energy exceeds the stable limit of a transmission line, the new energy is limited, namely wind and light are abandoned. In 2016, along with continuous deepening of power system innovation in China and rising of energy Internet, the problem of wind abandoning and light abandoning in the 'three north' region is highlighted, more and more attention is paid to the application value of energy storage in the fields of renewable energy consumption, distributed power generation, micro-grid and the like, how to reduce the wind abandoning and light abandoning amount of a power system is reduced, and the improvement of the utilization rate of new energy is a problem which is urgently needed to be solved.
Disclosure of Invention
In order to solve the technical problem, embodiments of the present invention provide an active coordination control method and system for a new energy power generation system with energy storage participation.
In one aspect, an embodiment of the present invention provides an active coordination control method for a new energy power generation system with energy storage participation, where the method includes:
(1) dividing all the units in the new energy power generation system into a wind power unit, a photovoltaic power generation unit and an energy storage unit according to the types of the units in the new energy power generation system with energy storage participation; the energy storage unit is used for storing or releasing electric energy converted by the wind power unit and the photovoltaic power generation unit so as to adjust active power transmitted to a power grid by the new energy power generation system;
(2) determining an optimization cycle of a new energy power generation system with energy storage participation and the number of the optimization cycles in one day, and acquiring channel capacity of a wind-solar grid-connected channel, rated installed capacity of a wind power unit, rated installed capacity of a photovoltaic power generation unit, an active power predicted value of the wind power unit and an active power predicted value of the photovoltaic power generation unit at each moment in an active optimization cycle, an energy storage output limit value of each energy storage unit, the maximum charging starting times and the maximum power generation starting times of each energy storage unit in the optimization cycle, and charging efficiency and discharging efficiency of each energy storage unit;
(3) the active power generated by the wind power unit, the photovoltaic power generation unit and the energy storage unit is added in combination with the working state of the energy storage unit, and an optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as a target function is constructed;
(4) optimizing the optimization model by using a mathematical programming algorithm in combination with channel capacity constraint, wind-solar output constraint, energy storage running state constraint, energy storage output constraint, energy storage climbing constraint, energy storage state conversion constraint, energy storage starting and stopping times constraint and energy storage capacity constraint to obtain the active output of the wind power unit and the photovoltaic power generation unit in the optimization period when the objective function reaches the maximum and the charging and discharging plan of each energy storage unit in the optimization period;
(5) and respectively issuing the active power output of the wind power unit and the photovoltaic power generation unit and the charge-discharge plan of each energy storage unit in the optimization period to each new energy station and each energy storage unit so as to enable each new energy station and each energy storage unit to automatically track the corresponding reference value when in operation.
On the other hand, the embodiment of the invention also provides an active coordination control system of a new energy power generation system with energy storage participation, which comprises:
the system comprises a preprocessing unit, a wind power generation unit, a photovoltaic power generation unit and an energy storage unit, wherein the preprocessing unit is used for dividing all units in a new energy power generation system into the wind power unit, the photovoltaic power generation unit and the energy storage unit according to the types of the units in the new energy power generation system with energy storage participation; the energy storage unit is used for storing or releasing electric energy converted by the wind power unit and the photovoltaic power generation unit so as to adjust active power transmitted to a power grid by the new energy power generation system;
the parameter obtaining unit is used for determining the optimization period of the new energy power generation system with energy storage participation and the number of the optimization periods in one day, and obtaining the channel capacity of a wind-solar grid-connected channel, the rated installed capacity of a wind power unit, the rated installed capacity of a photovoltaic power generation unit, the active power predicted value of the wind power unit and the active power predicted value of the photovoltaic power generation unit at each moment in the active optimization period, the energy storage output limit value of each energy storage unit, the maximum charging starting times and the maximum power generation starting times of each energy storage unit in the optimization period, and the charging efficiency and the discharging efficiency of each energy storage unit;
the model building unit is used for adding the active power generated by the wind power unit, the photovoltaic power generation unit and the energy storage unit in combination with the working state of the energy storage unit, and building an optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as a target function;
the model optimization unit is used for optimizing the optimization model by using a mathematical programming algorithm in combination with channel capacity constraint, wind and light output constraint, energy storage running state constraint, energy storage output constraint, energy storage climbing constraint, energy storage state conversion constraint, energy storage starting and stopping times constraint and energy storage capacity constraint to obtain the active output of the wind power unit and the photovoltaic power generation unit in an optimization period when the objective function reaches the maximum and a charging and discharging plan of each energy storage unit in the optimization period;
and the control parameter issuing unit is used for respectively issuing the active power output of the wind power unit and the photovoltaic power generation unit and the charging and discharging plan of each energy storage unit in the optimization period to each new energy station and each energy storage unit so as to enable each new energy station and each energy storage unit to automatically track the corresponding reference value when in operation.
The strategy provided by the embodiment of the invention can provide energy storage support when the output of the new energy is restricted by the outgoing channel, thereby reducing the wind and light abandoning amount of the system and improving the utilization hours of the new energy generator set.
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 for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a new energy power generation limited by a channel in the prior art;
FIG. 2 is a characteristic curve of the cryogenic compressed air energy storage operation provided by the embodiment of the invention;
fig. 3 is a schematic flowchart of an active coordination control method of a new energy power generation system with energy storage participation according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a new energy storage reduction wind abandoning/light abandoning effect under different wind-light ratios according to an embodiment of the present invention;
fig. 5 is a schematic view of the effect of reducing wind curtailment/light curtailment of the novel energy storage under different energy storage capacities according to the embodiment of the present invention;
fig. 6 is a schematic view of a new energy storage reduction wind/light rejection effect under different channel constraints according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an active coordination control system of a new energy power generation system with energy storage participation according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic diagram of a cross section of a new energy source with power generation limited by a channel. When the new energy power generation is greater than the transmission line power limit, the power generation will be forced to be depressed to the channel limit. Compared with the power generation situation without channel limitation, the power generation quantity forced to be reduced under the limitation of the channel is the abandoned wind and abandoned light power quantity, namely the area of the area A. When the power generated by the new energy is smaller than the limit value of the channel, the area enclosed by the new energy and the limit value of the channel is the idle electric quantity of the channel. If the stored energy participates in the coordination control, the part of the electric quantity of the area A which exceeds the limit value of the channel can be stored, and the part of the electric quantity is released in the area B when the channel is idle, so that the electricity limitation can be reduced, and the utilization rate of the outward conveying channel can be improved.
The cryogenic liquefied air energy storage is to liquefy and store air and simultaneously recycle waste heat in the compression process and waste cold in the expansion process to improve the system efficiency. The technology gets rid of dependence on geographical and resource conditions, and has the advantages of high energy density, low cost, good safety of the low-pressure tank body, capability of being installed in a load center area and the like. The large-scale energy storage system (100 MW-level scale) is suitable for scenes of peak clipping and valley filling, frequency modulation, system capacity reserve and the like of a power grid, and is the development trend of a compressed air energy storage technology. The cryogenic liquefied air energy storage belongs to physical energy storage, and has an essential difference with electrochemical energy storage, so that the operating characteristics of the cryogenic liquefied air energy storage are also greatly different from the electrochemical energy storage.
The cryogenic compressed air energy storage can be switched between two states of power generation and energy storage, the operating ranges of the charging and discharging states have certain feasible ranges, the adjusting range of the compressed air energy storage system in the charging state is assumed to be 75% -100%, the adjusting range of the compressed air energy storage system in the discharging state is assumed to be 40% -105%, and the adjusting time is in the minute level. The operating characteristic curve of the cryogenic compressed air energy storage is shown in fig. 2, and as can be seen from fig. 2, the operation of the cryogenic liquefied air energy storage is discontinuous, and the factors need to be considered in actual operation. As a novel energy storage mode, the cryogenic liquefied air energy storage and the new energy combined operation can effectively reduce the problems of wind abandonment and light abandonment caused by channel restriction. At present, no control method for cryogenic liquefied air energy storage to participate in new energy combined operation exists in the prior art. Aiming at the problems, the embodiment of the invention provides a new energy combined operation control strategy based on cryogenic compressed air energy storage.
Fig. 3 is a schematic flowchart of an active coordination control method of a new energy power generation system with energy storage participation according to an embodiment of the present invention. As shown in fig. 3, the method mainly includes the following steps:
and step S1, dividing all the units in the new energy power generation system into wind power units, photovoltaic power generation units and energy storage units according to the types of the units in the new energy power generation system with energy storage participation.
The wind power generation unit is used for converting wind energy into electric energy, the photovoltaic power generation unit is used for converting light energy into electric energy, and then the converted electric energy is supplied to a power grid through grid connection. The energy storage unit can be used for storing or releasing the electric energy converted by the wind power unit and the photovoltaic power generation unit so as to adjust the active power transmitted to the power grid by the new energy power generation system.
And step S2, determining the optimization cycle of the new energy power generation system with energy storage participation and the number of the optimization cycles in one day, and acquiring the channel capacity of the wind-solar grid-connected channel, the rated installed capacity of the wind power unit, the rated installed capacity of the photovoltaic power generation unit, the active power predicted value of the wind power unit and the active power predicted value of the photovoltaic power generation unit at each moment in the active optimization cycle, the energy storage output limit value of each energy storage unit, the maximum charging starting times and the maximum power generation starting times of each energy storage unit in the optimization cycle, and the charging efficiency and the discharging efficiency of each energy storage unit.
And step S3, adding the active power generated by the wind power unit, the photovoltaic power generation unit and the energy storage unit by combining the working state of the energy storage unit, and constructing an optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as a target function.
And step S4, optimizing the optimization model by using a mathematical programming algorithm by combining channel capacity constraint, wind and light output constraint, energy storage running state constraint, energy storage output constraint, energy storage climbing constraint, energy storage state conversion constraint, energy storage starting and stopping times constraint and energy storage capacity constraint, and acquiring the active output of the wind power unit and the photovoltaic power generation unit in the optimization period when the objective function reaches the maximum, and the charging and discharging plan of each energy storage unit in the optimization period.
And step S5, respectively issuing the active power output of the wind power unit and the photovoltaic power generation unit and the charging and discharging plans of the energy storage units in the optimization period to each new energy station and each energy storage unit, so that the new energy stations and the energy storage units can automatically track the corresponding reference values when in operation.
The strategy provided by the embodiment of the invention can provide energy storage support when the output of the new energy is restricted by the outgoing channel, thereby reducing the wind and light abandoning amount of the system and improving the utilization hours of the new energy generator set.
According to the embodiment of the invention, the maximum total output of wind power generation, photovoltaic power generation and energy storage is an objective function, and an optimization model of wind, light and energy storage combined power generation is established as follows:
in the formulaThe variables to be solved in the optimization process of the wind power unit, the photovoltaic power generation unit and the energy storage unit are respectively. After being optimized by a mathematical programming algorithm, a group is obtainedAnd determining values, and taking the set of values as reference values of the wind power unit, the photovoltaic power generation unit and the energy storage unit respectively, so that each device can automatically track the reference values to finish adjustment.
In the formula, F is an objective function, N is a total optimization period, and M is the number of data samples in one day; Δ t is a sampling period, for example, 24 hours a day, and may be divided into 24 sampling points, that is, M is 24, and the sampling period Δ t is 1 hour. For 1 minute optimization, M may be taken 1440. G is the number of wind power units, H is the number of photovoltaic power generation units, K is the number of energy storage units,the planned output of the wind power unit at the ith moment of the ith day is the g-th wind power unit,for the planned output of the h photovoltaic unit at the time t on the ith day,the planned output of the jth energy storage unit at the ith time on the ith day;a power generation identification bit of the jth energy storage unit at the ith day and the tth moment,indicating that the jth energy storage unit is in a power generation state at the time of the ith day and the tth moment.
In optimizing the above model, the following constraints need to be considered:
1) and (3) channel capacity constraint:
wherein,channel capacity at time t on day i.
2) Wind-solar output constraint:
in the formula,respectively plan the g-th wind power unit at the t-th moment of the ith dayThe force and the predicted output force are calculated,the rated installed capacity of the g wind power unit;respectively the planned output and the predicted output of the h photovoltaic power generation unit at the t moment of the ith day,the rated installed capacity of the h photovoltaic power generation unit.
3) And (4) energy storage operation state constraint:
in the formula,andrespectively showing the state of the jth energy storage unit at the time of the ith day,indicating that the jth energy storage unit is in a charged state at time t on day i,the j energy storage unit is in a power generation state at the t moment on the ith day;indicating that the jth energy storage unit is in a standby state at the time of the ith day and the tth time.
4) Energy storage output restraint:
in the formula,andthe upper limit and the lower limit of the charging power of the jth energy storage unit are respectively set;andrespectively an upper limit and a lower limit of the discharge power of the jth energy storage unit.
5) Energy storage climbing restraint:
in the formula,the maximum climbing speed of the jth energy storage unit in the charging state and the discharging state is respectively.
6) And energy storage state transition constraint. In principle, the novel energy storage is not allowed to be in a power generation state and a charging state at the same time, for convenience of optimization, the embodiment of the invention requires that the novel energy storage state needs to be in a state of shutdown when being converted, and specific constraints are as follows:
in the formula,the j energy storage unit is in a power generation state at the t-1 moment on the ith day;indicating that the jth energy storage unit is in a charged state at time t-1 on day i.
7) And (5) energy storage starting and stopping times constraint. The novel energy storage unit is influenced by various factors and is not allowed to be started and stopped frequently.The starting charging times of the jth energy storage unit at the ith time in the ith day are less than the set maximum charging starting times in the optimization periodThe number of times of starting power generation of the jth energy storage unit at the tth moment of the ith day is smaller than the set maximum power generation starting number in the optimization periodThe specific constraints are as follows:
8) and (4) energy storage capacity constraint. For the novel energy storage unit, the residual capacity of the novel energy storage unit meets the capacity constraint of a liquid storage tank:
in the formula,the minimum capacity and the maximum capacity of the jth energy storage unit are respectively set;the energy output by the jth energy storage unit at the time t-1 on the ith day, ηj,charis the charging efficiency of the jth energy storage unit, etaj,disThe discharge efficiency of the jth energy storage cell.
In one embodiment, according to the existing data, in the energy storage output constraint, the upper limit and the lower limit of the charging power of the jth energy storage unit respectively satisfy:the upper limit and the lower limit of the discharge power of the jth energy storage unit respectively meet the following conditions:wherein,is the rated power of the jth energy storage unit in the charging state,the rated power of the jth energy storage unit in the discharge state.
The model is a typical mixed integer programming problem, a calculation method for solving the objective function in mathematical programming to the maximum can be adopted, such as linear programming, integer programming and the like, and methods such as a simplex method, a Lagrange multiplier method and the like are generally adopted in the embodiment of the invention to solve the problem that the optimization model reaches the maximumAnd obtaining the optimal output strategy of the active coordination control of the new energy power generation system with the energy storage participation.
In addition, the embodiment of the invention also provides three simulation examples of the combined operation of the stored energy and the new energy, so as to prove the technical effect of the active coordination control method of the new energy power generation system with the stored energy participation provided by the embodiment of the invention.
1) Novel energy storage reduction abandoning wind/abandoning light effect under different wind-light ratios
Aiming at the optimization model, actual wind power operation data in the North Ji region are adopted for measurement and calculation, wherein the annual utilization hours of wind power are 2000 hours, the annual utilization hours of photovoltaic power generation are 1400 hours, and the annual utilization hours of photovoltaic power generation are basically equivalent to those of 2016 years in North Ji.
FIG. 4 shows the effect of cryogenic liquefied air energy storage on reduction of abandoned wind under different wind-light ratios. At the moment, the channel capacity is 50% of the wind and light installed capacity, and the energy storage capacity is 8 h. As can be seen from fig. 4, the energy storage and hair growth effect is increased after being decreased with the increase of the photovoltaic ratio, and when the photovoltaic ratio is 100%, the novel energy storage and hair growth effect is more obvious, and the novel energy storage is more suitable for photovoltaic power generation scenes with day-to-day and night-to-night stops.
2) Novel energy storage reduction abandoning wind/abandoning light effect under different energy storage capacities
Fig. 5 shows the hair growth effect when the energy storage capacity increases under different energy storage ratios. The wind-light ratio is 1:4, and the channel capacity is 50% of the wind-light installed capacity. The energy storage hair increasing effect is gradually increased along with the increase of the energy storage capacity, but the speed increasing rate is lower than 1, and the speed increasing rate is smaller and smaller along with the increase of the energy storage capacity. Taking the energy storage ratio of 4% as an example, when the energy storage capacity is 2 hours, the expansion ratio is 0.58%, and when the energy storage capacity is 12 hours, the expansion ratio is 2.02%. The energy storage capacity is increased by 6 times, but the hair increasing effect is only increased by 3.48 times.
3) Novel energy storage reduction abandoning wind/abandoning light effect under different channel constraints
Fig. 6 shows the hair growth effect of stored energy under different channel constraints. As shown in fig. 6, the smaller the channel capacity is, the more significant the energy storage and hair growth effect is.
In summary, under the condition of channel constraint, the novel energy storage is more suitable for a single new energy source, and the higher the electricity limiting ratio is, the more obvious the effect of reducing the wind abandonment/light abandoning of the energy storage is.
Based on the same inventive concept as the active coordination control method of the new energy power generation system with energy storage participation shown in fig. 3, the embodiment of the present application further provides a system, as described in the following embodiments. Because the principle of the system for solving the problems is similar to the control method in fig. 3, the system can be implemented by referring to the implementation of the active coordination control method of the new energy power generation system with energy storage participation in fig. 3, and repeated parts are not described again.
In another embodiment, the present invention further provides an active coordination control system of a new energy power generation system with energy storage participation, the structure of which is substantially as shown in fig. 7, the system mainly includes: the system comprises a preprocessing unit 71, a parameter acquiring unit 72, a model constructing unit 73, a model optimizing unit 74 and a control parameter issuing unit 75.
The preprocessing unit 71 is configured to divide all units in the new energy power generation system into a wind power unit, a photovoltaic power generation unit and an energy storage unit according to the types of the units in the new energy power generation system that participate in energy storage; the energy storage unit is used for storing or releasing electric energy converted by the wind power unit and the photovoltaic power generation unit so as to adjust active power transmitted to a power grid by the new energy power generation system.
The parameter obtaining unit 72 is configured to determine an optimization cycle of the new energy power generation system with energy storage participation and the number of the optimization cycles in one day, and obtain a channel capacity of a wind-solar grid connection channel, a rated installed capacity of a wind power unit, a rated installed capacity of a photovoltaic power generation unit, a predicted value of active power of the wind power unit and a predicted value of active power of the photovoltaic power generation unit at each time in an active optimization cycle, an energy storage output limit value of each energy storage unit, a maximum charging start frequency and a maximum power generation start frequency of each energy storage unit in the optimization cycle, and a charging efficiency and a discharging efficiency of each energy storage unit.
The model building unit 73 is used for adding the active power generated by the wind power unit, the photovoltaic power generation unit and the energy storage unit in combination with the working state of the energy storage unit, and building an optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as a target function.
The model optimization unit 74 is configured to combine the channel capacity constraint, the wind-solar output constraint, the energy storage operating state constraint, the energy storage output constraint, the energy storage climbing constraint, the energy storage state conversion constraint, the energy storage start-stop frequency constraint, and the energy storage capacity constraint, optimize the optimization model by using a mathematical programming algorithm, and obtain the active output of the wind power unit and the photovoltaic power generation unit in the optimization period when the objective function reaches the maximum, and the charge-discharge plan of each energy storage unit in the optimization period.
The control parameter issuing unit 75 is configured to issue the active power output of the wind power unit and the photovoltaic power generation unit and the charging and discharging plans of each energy storage unit in the optimization period to each new energy station and each energy storage unit, so that each new energy station and each energy storage unit automatically track the corresponding reference value when operating.
In an embodiment, the optimization model that is constructed by the model construction unit 73 and that takes the maximum objective function of the grid-connected active power of the new energy power generation system with energy storage participation as reference formula (1).
When the model optimization means 74 optimizes expression (1), the constraint conditions to be considered may refer to expressions (2) to (13). In the energy storage output constraint, the upper limit and the lower limit of the charging power of the energy storage unit respectively satisfy:the upper limit and the lower limit of the discharge power of the energy storage unit respectively satisfy the following conditions:
in one embodiment, the type of the energy storage unit is cryogenic liquefied air energy storage.
The active coordination control system of the new energy power generation system with energy storage participation provided by the embodiment of the invention can provide energy storage support when the output of new energy is restricted by the outgoing channel, thereby reducing the wind and light abandoning amount of the system and improving the utilization hours of the new energy generator set.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An active coordination control method of a new energy power generation system with energy storage participation is characterized by comprising the following steps:
(1) dividing all the units in the new energy power generation system into a wind power unit, a photovoltaic power generation unit and an energy storage unit according to the types of the units in the new energy power generation system with energy storage participation; the energy storage unit is used for storing or releasing electric energy converted by the wind power unit and the photovoltaic power generation unit so as to adjust active power transmitted to a power grid by the new energy power generation system;
(2) determining an optimization cycle of a new energy power generation system with energy storage participation and the number of the optimization cycles in one day, and acquiring channel capacity of a wind-solar grid-connected channel, rated installed capacity of a wind power unit, rated installed capacity of a photovoltaic power generation unit, an active power predicted value of the wind power unit and an active power predicted value of the photovoltaic power generation unit at each moment in an active optimization cycle, an energy storage output limit value of each energy storage unit, the maximum charging starting times and the maximum power generation starting times of each energy storage unit in the optimization cycle, and charging efficiency and discharging efficiency of each energy storage unit;
(3) the active power generated by the wind power unit, the photovoltaic power generation unit and the energy storage unit is added in combination with the working state of the energy storage unit, and an optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as a target function is constructed;
(4) optimizing the optimization model by using a mathematical programming algorithm in combination with channel capacity constraint, wind-solar output constraint, energy storage running state constraint, energy storage output constraint, energy storage climbing constraint, energy storage state conversion constraint, energy storage starting and stopping times constraint and energy storage capacity constraint to obtain the active output of the wind power unit and the photovoltaic power generation unit in the optimization period when the objective function reaches the maximum and the charging and discharging plan of each energy storage unit in the optimization period;
(5) and respectively issuing the active power output of the wind power unit and the photovoltaic power generation unit and the charge-discharge plan of each energy storage unit in the optimization period to each new energy station and each energy storage unit so as to enable each new energy station and each energy storage unit to automatically track the corresponding reference value when in operation.
2. The active coordination control method for the new energy power generation system with energy storage participation as claimed in claim 1, wherein the optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as an objective function is as follows:
wherein F is an objective function and N is the totalThe optimization period of (1), wherein M is the sampling number in one day, and delta t is the sampling period; g is the number of wind power units, H is the number of photovoltaic power generation units, and K is the number of energy storage units;the planned output of the wind power unit at the ith moment of the ith day is the g-th wind power unit,the planned output of the photovoltaic power generation unit of the h photovoltaic unit at the t moment of the ith day,the planned output of the jth energy storage unit at the ith time on the ith day;a power generation identification bit of the jth energy storage unit at the ith day and the tth moment,indicating that the jth energy storage unit is in a power generation state at the time of the ith day and the tth moment.
3. The active coordination control method of the new energy power generation system with energy storage participation according to claim 2,
the channel capacity constraint is:
the wind-solar output constraint is as follows:
the energy storage operating stateThe constraints are:
the energy storage output constraint is as follows:
the energy storage climbing restraint is as follows:
the energy storage state transition constraint is as follows:
the energy storage start-stop times are constrained as follows:
the energy storage capacity constraint is:
wherein,the channel capacity at the ith time is the channel capacity at the ith day;for the predicted output of the g-th wind power unit at the time t on the ith day,the rated installed capacity of the g wind power unit;for the predicted output of the h-th photovoltaic power generation unit at the time t on the ith day,the rated installed capacity of the h photovoltaic power generation unit;andrespectively showing the state of the jth energy storage unit at the time of the ith day,indicating that the jth energy storage unit is in a charged state at time t on day i,the j energy storage unit is in a power generation state at the t moment on the ith day;the j energy storage unit is in a standby state at the t moment on the ith day;andthe upper limit and the lower limit of the charging power of the jth energy storage unit are respectively set;andrespectively setting the upper limit and the lower limit of the discharge power of the jth energy storage unit;respectively store energy for jthMaximum ramp rates of the cell in the charged state and the discharged state;for the number of times that the jth energy storage unit starts charging at the ith time of day,the maximum charging starting times of the jth energy storage unit in the optimization cycle are obtained;for the number of times that the jth energy storage unit starts generating at the time t on the ith day,the maximum power generation starting times of the jth energy storage unit in the optimization cycle are obtained;the minimum capacity and the maximum capacity of the jth energy storage unit are respectively set;the energy output by the jth energy storage unit at the time t-1 on the ith day, ηj,charis the charging efficiency of the jth energy storage unit, etaj,disThe discharge efficiency of the jth energy storage cell.
4. The active coordination control method of the new energy power generation system with energy storage participation according to claim 3,
the upper limit and the lower limit of the charging power of the energy storage unit respectively meet the following requirements:
the upper limit and the lower limit of the discharge power of the energy storage unit respectively meet the following requirements:
wherein,the rated power of the jth energy storage unit in a charging state;the rated power of the jth energy storage unit in the discharge state.
5. The active coordinated control method of the new energy power generation system with energy storage participation according to any one of claims 1 to 4, characterized in that the type of the energy storage is cryogenic liquefied air energy storage.
6. An active coordination control system of a new energy power generation system with energy storage participation, characterized in that the system comprises:
the system comprises a preprocessing unit, a wind power generation unit, a photovoltaic power generation unit and an energy storage unit, wherein the preprocessing unit is used for dividing all units in a new energy power generation system into the wind power unit, the photovoltaic power generation unit and the energy storage unit according to the types of the units in the new energy power generation system with energy storage participation; the energy storage unit is used for storing or releasing electric energy converted by the wind power unit and the photovoltaic power generation unit so as to adjust active power transmitted to a power grid by the new energy power generation system;
the parameter obtaining unit is used for determining the optimization period of the new energy power generation system with energy storage participation and the number of the optimization periods in one day, and obtaining the channel capacity of a wind-solar grid-connected channel, the rated installed capacity of a wind power unit, the rated installed capacity of a photovoltaic power generation unit, the active power predicted value of the wind power unit and the active power predicted value of the photovoltaic power generation unit at each moment in the active optimization period, the energy storage output limit value of each energy storage unit, the maximum charging starting times and the maximum power generation starting times of each energy storage unit in the optimization period, and the charging efficiency and the discharging efficiency of each energy storage unit;
the model building unit is used for adding the active power generated by the wind power unit, the photovoltaic power generation unit and the energy storage unit in combination with the working state of the energy storage unit, and building an optimization model with the maximum grid-connected active power of the new energy power generation system with energy storage participation as a target function;
the model optimization unit is used for optimizing the optimization model by using a mathematical programming algorithm in combination with channel capacity constraint, wind and light output constraint, energy storage running state constraint, energy storage output constraint, energy storage climbing constraint, energy storage state conversion constraint, energy storage starting and stopping times constraint and energy storage capacity constraint to obtain the active output of the wind power unit and the photovoltaic power generation unit in an optimization period when the objective function reaches the maximum and a charging and discharging plan of each energy storage unit in the optimization period;
and the control parameter issuing unit is used for respectively issuing the active power output of the wind power unit and the photovoltaic power generation unit and the charging and discharging plan of each energy storage unit in the optimization period to each new energy station and each energy storage unit so as to enable each new energy station and each energy storage unit to automatically track the corresponding reference value when in operation.
7. The active coordination control system of the new energy power generation system with energy storage participation as claimed in claim 6, wherein the optimization model of the maximum objective function of the grid-connected active power of the new energy power generation system with energy storage participation is as follows:
wherein F is an objective function, N is a total optimization period, M is the number of samples in one day, and delta t is a sampling period; g is the number of wind power units, H is the number of photovoltaic power generation units, and K is the number of energy storage units;the planned output of the wind power unit at the ith moment of the ith day is the g-th wind power unit,the planned output of the photovoltaic power generation unit of the h photovoltaic unit at the t moment of the ith day,for the planned output of the jth energy storage unit at the time of the ith day and the tth day,a power generation identification bit of the jth energy storage unit at the ith day and the tth moment,indicating that the jth energy storage unit is in a power generation state at the time of the ith day and the tth moment.
8. The active coordinated control system of the new energy power generation system with energy storage participation as claimed in claim 7,
the channel capacity constraint is:
the wind-solar output constraint is as follows:
the energy storage running state constraint is as follows:
the energy storage output constraint is as follows:
the energy storage climbing restraint is as follows:
the energy storage state transition constraint is as follows:
the energy storage start-stop times are constrained as follows:
the energy storage capacity constraint is:
wherein,the channel capacity at the ith time is the channel capacity at the ith day;for the predicted output of the g-th wind power unit at the time t on the ith day,the rated installed capacity of the g wind power unit;for the predicted output of the h-th photovoltaic power generation unit at the time t on the ith day,the rated installed capacity of the h photovoltaic power generation unit;andindividual watchShowing the state of the jth energy storage unit at the time of the ith day,indicating that the jth energy storage unit is in a charged state at time t on day i,the j energy storage unit is in a power generation state at the t moment on the ith day;the j energy storage unit is in a standby state at the t moment on the ith day;andthe upper limit and the lower limit of the charging power of the jth energy storage unit are respectively set;andrespectively setting the upper limit and the lower limit of the discharge power of the jth energy storage unit;the maximum climbing rates of the jth energy storage unit in a charging state and a discharging state are respectively set;for the number of times that the jth energy storage unit starts charging at the ith time of day,the maximum charging starting times of the jth energy storage unit in the optimization cycle are obtained;for the number of times that the jth energy storage unit starts generating at the time t on the ith day,the maximum power generation starting times of the jth energy storage unit in the optimization cycle are obtained;the minimum capacity and the maximum capacity of the jth energy storage unit are respectively set;the energy output by the jth energy storage unit at the time t-1 on the ith day, ηj,charis the charging efficiency of the jth energy storage unit, etaj,disThe discharge efficiency of the jth energy storage cell.
9. The active coordinated control system of the new energy power generation system with energy storage participation as claimed in claim 8,
the upper limit and the lower limit of the charging power of the energy storage unit respectively meet the following requirements:
the upper limit and the lower limit of the discharge power of the energy storage unit respectively meet the following requirements:
wherein,the rated power of the jth energy storage unit in a charging state;is as followsAnd the rated power of the j energy storage units in a discharge state.
10. Active coordinated control system of a new energy power generation system with energy storage participation according to any one of claims 6-9, characterized in that said energy storage unit is of the type cryogenic liquefied air energy storage.
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