CN112260265A - Intelligent power distribution system and intelligent power distribution method capable of adapting to power supply capacity fluctuation - Google Patents
Intelligent power distribution system and intelligent power distribution method capable of adapting to power supply capacity fluctuation Download PDFInfo
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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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/63—Monitoring or controlling charging stations in response to network capacity
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
- H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/126—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/14—Energy storage units
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
An intelligent power distribution system capable of accommodating fluctuations in power supply capacity, comprising: the system comprises a power generation system, a cloud server, a remote communication device and a power storage and utilization load, wherein the cloud server receives system information of the power generation system and predicts surplus electric quantity information of the power generation system by combining power generation capacity influence factors and power utilization information; the cloud server also receives the chargeable quantity information uploaded by the electricity storage and utilization loads, and reasonably arranges the corresponding electricity storage and utilization loads to be connected into a power grid for charging by combining the chargeable quantity information of the electricity storage and utilization loads and the surplus electric quantity information of the power generation system. The invention also provides an intelligent power distribution method capable of adapting to power supply capacity fluctuation. According to the invention, the power storage and utilization load is directly connected to the power grid, and the surplus electric quantity is directly stored to the power storage and utilization load when the surplus electric quantity exists in the power generation system.
Description
Technical Field
The invention relates to the field of intelligent power grids, in particular to an intelligent power distribution system and an intelligent power distribution method capable of adapting to power supply capacity fluctuation.
Background
Under the circumstance of the deterioration of global resource environment, the use of clean energy (such as solar power generation, tidal power generation, hydroelectric power generation, wind power generation, etc.) is increasingly emphasized. In the process of utilizing the clean energy, part of the clean energy has certain randomness or instability, which is not the same as that of hydroelectric power generation, and the power generation amount can be controlled according to the load demand, for example, tidal power generation generates power in a fixed period, but the power generation capacity can be fully exerted only by enough power demand in the period. In addition to actual demand, the power generation mode with fixed period can be incorporated into the power grid to adjust the supply of other types of power, and the sufficient demand for tidal power generation can be distributed in the period to realize the maximization of the power generation capacity, and clean energy such as hydrogen electrolysis and the like can be further utilized by utilizing tidal power generation.
Compared with tidal energy, clean energy such as wind energy, sun energy and the like is more uncertain, for example, the wind energy is influenced by wind, no wind and the wind power level, and the solar energy is influenced by factors such as weather (cloud, haze), illumination angle (morning, evening and season) and the like, so the generating capacity randomness of the clean energy is higher, the requirement on timeliness is higher, when the clean energy has the generating capacity, enough requirements are not needed, and when the clean energy has the requirements at the next moment, the clean energy may not have enough generating capacity. At present, a power storage station is mostly adopted, electric energy in a supply time and a demand time is stored, and power is supplied in a supply time and a demand time to adjust the supply and demand relation of clean energy. However, the method has two disadvantages, namely, a large amount of cost is needed for construction, management and maintenance of the power storage station, and certain efficiency loss exists in the processes of storage and release of the electric energy, so that the utilization rate of clean energy is influenced.
Disclosure of Invention
In view of this, the present invention provides an intelligent power distribution system and an intelligent power distribution method capable of adapting to power supply capacity fluctuation.
The invention provides an intelligent power distribution system capable of adapting to power supply capacity fluctuation, which comprises: a power generation system, a cloud server, a remote communication device and a power storage and utilization load,
the power generation system and the electricity storage and utilization load are connected with the cloud server through the remote communication device, and the cloud server receives system information of the power generation system and predicts surplus electric quantity information of the power generation system by combining power generation capacity influence factors and power utilization information;
the cloud server also receives the chargeable quantity information uploaded by the electricity storage and utilization loads, and reasonably arranges the corresponding electricity storage and utilization loads to be connected into a power grid for charging by combining the chargeable quantity information of the electricity storage and utilization loads and the surplus electric quantity information of the power generation system.
Further, the electricity storage and utilization load is a new energy automobile.
Further, the system information of the power generation system comprises power generation capacity and power generation power of the power generation system and geographical location information of the power generation system, the new energy automobile further uploads the charging function state of the vehicle to the cloud server, when the cloud server confirms that the vehicle can support surplus electric quantity and load distribution of the power generation system according to the charging function state of the vehicle, the cloud server records the chargeable quantity, the power and the vehicle location information of the vehicle, and reasonably arranges that the corresponding vehicle is connected to the power grid for charging according to the chargeable quantity, the power and the vehicle location information of the vehicle and the geographical location information of the power generation system.
Further, the cloud server queues the charging sequence of the vehicles according to the urgency of the highest energy utilization rate and the electricity utilization degree of the users when the corresponding vehicles are arranged to be connected to the power grid.
Further, for the wireless charging system, the charging function status of the vehicle includes whether the vehicle is on a reserved charging function or a valley charging function, whether the vehicle is in a wireless charging area, and whether the vehicle can start wireless charging at any time; for the wired charging system, the charging function status of the vehicle includes whether the vehicle starts a reserved charging function or a valley charging function, and whether a charging cable is connected.
The invention provides an intelligent power distribution method capable of adapting to power supply capacity fluctuation, which comprises the following steps: receiving system information of a power generation system; predicting surplus electric quantity information of the power generation system by combining the power generation capacity influence factors and the power utilization information; receiving chargeable quantity information uploaded by a power storage and utilization load; and reasonably arranging the corresponding electricity storage and utilization loads to be connected into a power grid for charging by combining the chargeable quantity information of the electricity storage and utilization loads and the surplus electric quantity information of the power generation system.
Further, the receiving the chargeable amount information uploaded by the power storage and utilization load comprises: uploading the charging function state of the electricity storage and utilization load to a cloud server; when the fact that the electricity storage and utilization load can support the surplus electricity and the load distribution of the power generation system is confirmed according to the charging function state of the electricity storage and utilization load, the chargeable amount, the power and the position information of the electricity storage and utilization load are recorded.
Further, when it is determined whether the electricity storage and utilization load can support load distribution of surplus electric quantity of the power generation system according to the charging function state of the electricity storage and utilization load, if the wired charging system is targeted, the method includes the following steps: confirming whether the electricity storage and utilization load starts an appointment charging function or a valley power charging function; confirming whether a charging cable is connected; reporting the charging function state of the power storage and utilization load to a cloud server;
if the wireless charging system is aimed at, the steps include: confirming whether the electricity storage and utilization load starts an appointment charging function or a valley power charging function; confirming whether the power storage electric load is in a wireless charging area; confirming whether the power storage electric load can start wireless charging at any time; and reporting the charging function state of the power storage and utilization load to a cloud server.
Further, reasonably arranging the corresponding power storage and utilization loads to be connected to the power grid for charging by combining the chargeable quantity information of the power storage and utilization loads and the surplus power information of the power generation system comprises the following steps: matching the grasped load condition of the electricity storage and utilization load with the load demand of surplus electric quantity of the power generation system, and determining the load power and the total charging energy which need to be provided; and sequencing the electricity storage and utilization loads in the area matched with the power generation system, and accessing the electricity storage and utilization loads into a power grid for charging according to a certain sequence.
Further, when the power storage and utilization loads in the area matched with the intelligent power distribution system are sequenced, the charging sequence is queued according to the urgency of the highest energy utilization rate and the power utilization of the users.
According to the invention, the new energy automobile with the gradually increased market volume is used as the energy storage terminal of clean energy, the load of the power grid demand end can be adjusted in real time through the charging control of the new energy automobile, and the redundant energy is stored in the power utilization terminal, so that the length of an energy chain can be reduced, the utilization rate of the sent energy is improved, the number of electric energy storage stations can be reduced, the investment, maintenance and management cost of the storage stations can be further reduced, and the labor input can be reduced.
Drawings
Fig. 1 is a schematic diagram of an architecture of an intelligent power distribution system capable of adapting to power supply capacity fluctuation according to the present invention.
Fig. 2 is a schematic flow chart of an intelligent power distribution method capable of adapting to power supply capacity fluctuation according to the present invention.
Fig. 3 is a schematic diagram of the sub-step of step S40 in fig. 2.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
First embodiment
As shown in fig. 1, the intelligent power distribution system capable of adapting to power supply capacity fluctuation provided by the invention comprises a power generation system, a cloud server, a remote communication device and a power storage and utilization load.
The power generation system may be a clean energy power generation system, such as a wind power station, a solar power station, a tidal power station, a water power station, or the like, or may be a non-clean energy power generation system, such as a thermal power station, or the like, and the power generation system in the present invention is preferably a clean energy power generation system having random or unstable power generation capacity, such as a wind power station, a solar power station, and a tidal power station. The power generation system is connected with the cloud server through the remote communication device and used for uploading system information of the power generation system, such as power generation capacity of a generator set in the power generation system and information of the geographic position where the power generation system is located, to the cloud server, and the cloud server predicts surplus electric quantity information (including surplus total electric quantity, power supply time and power supply power of the surplus electric quantity) of the power generation system according to the system information of the power generation system and by combining influence factors of the power generation capacity of the power generation system and power consumption information of the user terminal. In the invention, the power generation capacity influence factors comprise seasons, weather forecast information (including future weather conditions (whether the future weather is cloudy, sunny, rainy, haze or windy), wind power levels, windy periods, cloudy periods), flood and tide falling time and the like, and the cloud server can predict the power generation capacity and the power generation duration of the power generation system according to the system information of the power generation system and the influence factors of the power generation capacity of the power generation system and predict surplus power information by combining with the power utilization information of the user terminal. Specifically, the cloud server can predict the power generation capacity and the power generation time of the wind power station according to the number of the generator sets, the power generation capacity of the generator sets, the wind power level, the wind blowing time period and the like, can predict the power generation capacity and the power generation time of the solar power station according to the number of the generator sets, the power generation capacity, the geographical location information of the power generation system, the season, the illumination time period and the like, and can predict the power generation capacity and the power generation time of the tidal power station according to the number of the generator sets, the power generation capacity, the tide rising and tide falling conditions. It should be noted that, in the above-mentioned information, the season, the weather forecast information, the flood and tide fall time, etc. can be issued by professional departments and acquired through the network, and the power consumption information of the user terminal can be acquired according to the collected historical power consumption records of the user terminal.
The remote communication device may include a communication base station, a gateway, a terminal remote communication device, and the like, where the communication base station refers to a public mobile communication base station, such as a 4G, 5G-based base station, and the like, which is mainly used for connecting with a cloud server. The terminal remote communication device may be a remote wireless communication device (e.g., a vehicle-mounted wireless communication device), a remote wired communication device (e.g., a network cable), and the like, and is capable of uploading information to the cloud server through a communication base station or a gateway, or receiving information from the cloud server through a communication base station or a gateway, and the like.
The power storage and utilization loads are terminal loads which have a power storage function and can also be used as power utilization loads, such as new energy vehicles (including plug-in hybrid electric vehicles and pure electric vehicles), charging piles (charging piles which are providing charging services for the new energy vehicles) and the like. The electricity storage and utilization load can receive the instruction transmitted by the remote communication device, and executes the action of charging or disconnecting charging according to the instruction, so that the surplus electric quantity of the power generation system is distributed by matching with the cloud server, meanwhile, the electricity storage and utilization load can feed back the information (including the chargeable quantity information, the charging function state information, the position information and the like of the electricity storage and utilization load) required by the cloud server to the cloud server through the remote communication device, and the cloud server can make judgment conveniently.
The cloud server mainly arranges the surplus electric quantity distribution of the power generation system overall. The cloud server is mainly used for intelligently distributing power according to predicted surplus power information (including surplus total power, power supply time and power supply power of surplus power), by combining chargeable power information, charging function state information, position information and the like of the power storage and utilization loads in the power grid, and reasonably distributing surplus power to corresponding power storage and utilization loads when the power generation system has surplus power, so that the resource utilization rate is improved, and the power waste is avoided. When the cloud server distributes the electricity storage and utilization loads of the power grid, the charging sequence is optimized according to the specific conditions of the electricity storage and utilization loads grasped by the cloud server, the electricity storage and utilization loads can be connected into the power grid in order, and the load power promised by the cloud server to the power generation system is guaranteed to be honored. In other embodiments of the present invention, when the cloud server arranges the charging order, the charging order of the vehicles may be queued according to the highest energy utilization rate or the urgency of power utilization of the user, or the charging order may be queued according to manufacturers or brands of new energy vehicles.
Second embodiment
The invention also provides an intelligent power distribution method capable of adapting to power supply capacity fluctuation, which is described below by taking a charging pile for providing charging service for a new energy automobile or a new energy automobile by using a power storage and utilization load as an example, as shown in fig. 2, and the intelligent power distribution method comprises the following steps:
s10: acquiring system information of a power generation system, wherein the system information of the power generation system comprises the power generation capacity of a generator set in the power generation system and the geographical position information of the power generation system;
s20: acquiring generating capacity influence factor information, wherein the generating capacity influence factor information comprises at least one of season, weather forecast information and flood and tide falling time, and the specific information comprises which information is determined according to the input energy type of a generating system;
s30: predicting surplus electric quantity information (including surplus total electric quantity, power supply duration and surplus electric quantity power supply power) of the power generation system according to system information of the power generation system, power generation capacity influence factor information and power utilization information of the user terminal;
s40: acquiring chargeable quantity information of the electricity storage and utilization load, wherein the chargeable quantity information comprises chargeable total quantity and charging power;
s50: and reasonably arranging the corresponding electricity storage and utilization loads to be connected into a power grid for charging by combining the chargeable quantity information of the electricity storage and utilization loads and the surplus electric quantity information of the power generation system.
Specifically, as shown in fig. 3, step S40 includes:
s41: uploading the charging function state of a vehicle (and a charging pile containing the vehicle) to a cloud server, specifically, uploading the charging function state of the vehicle or the charging pile (including whether to start reserved charging, whether to charge wirelessly or whether to start a valley electricity charging function) to the cloud server through a remote communication device when the vehicle is parked or parked;
s42: when the cloud server confirms that the vehicle can support surplus electric quantity and power load distribution of the power generation system according to the charging function state of the vehicle, the chargeable quantity information (including chargeable quantity and charging power) of the vehicle or the charging pile is recorded, and meanwhile, the vehicle position information positioned by the vehicle-mounted navigation system is recorded.
In step S42, when the cloud server determines, according to the charging function state of the vehicle or the charging pile, whether the vehicle or the charging pile can support the surplus power and power load distribution of the power generation system, if the vehicle or the charging pile is in the wired charging system, it is determined whether the vehicle or the charging pile starts the reserved charging function or the valley power charging function, and it is determined whether the charging cable is connected and can support the charging function, and after the determination is successful, the actual charging function state is reported to the cloud server by the power storage and utilization load; if the charging system is wireless, whether the valley power charging function or the valley power charging function is started by the vehicle or the charging pile needs to be confirmed, whether the vehicle is in a wireless charging area or not and whether wireless charging can be started at any time or not are confirmed, and after the confirmation is successful, the actual charging function state is reported to the cloud server by the power storage and utilization load. When it is confirmed whether the vehicle can start charging at any time, the confirmation information includes whether or not there is a living object between the wireless charging device and the vehicle, and the charging safety is ensured. It should be noted that, for a clean energy power generation system with random or unstable power generation capacity, the valley period is a time period during which the clean energy power generation system has surplus power, and in most cases, the time period varies with specific situations, rather than being fixed.
In step S42, after confirming that the vehicle or the charging pile can support the surplus power and the load distribution of the power generation system, the cloud server records the chargeable amount information and the vehicle location information of the corresponding vehicle, classifies the power grid to which the vehicle belongs according to the vehicle location information, binds the chargeable amount information of the vehicle and the vehicle location information (belonging power grid), and uses the bound chargeable amount information and the vehicle location information as a calculation basis for load allocation of the cloud server.
Specifically, step S50 is that the cloud server matches the load demand of the power generation system according to the grasped load condition of the vehicle (including charging power, chargeable data, and location information of the vehicle), determines the load power and total charging energy that need to be provided, sorts the vehicles in the area matching the location of the power generation system according to a certain rule, wakes up the vehicles according to a certain sequence through the communication base station in the matching area and the vehicle-mounted remote communication devices in the corresponding area, and avoids the fluctuation of the grid load caused by the fact that a plurality of vehicles start to be charged or quit to be charged at the same time; when partial vehicles finish charging and quit, the subsequent power storage and utilization loads can supplement corresponding load power so as to ensure the promised load of the cloud server on the power grid. And when the cloud server responds to the power grid request, completing load allocation according to the power grid demand area, and performing load distribution on the power grid where the power generation system is located or vehicles in the nearby power grid.
In this embodiment, when the vehicle charging sequence was queued up in the high in clouds server, can arrange the order of charging according to the urgency degree etc. that energy utilization is the highest, user's power consumption, if arrange according to energy utilization is the highest, the high in clouds server can arrange the charge according to vehicle residual capacity, with the vehicle priority arrangement that the electric quantity is low, the high main appearance of energy utilization, the vehicle charging time that the electric quantity is low is long, the number of times of changing the vehicle and charging in the same time reduces, improves total charging energy. In addition, the charging efficiency of the battery is relatively high in the low-power state, and the energy utilization rate can be improved. If the charging is sorted according to the requirements of the users, the charging is sorted according to the emergency degree according to the using time and the like of the users, and the charging is preferentially arranged for the vehicles with the using time being ahead. In the process of arranging charging, no matter what kind of charging sequence is, the charging is carried out until the target value exits as long as the vehicle starts to be charged, and the cloud server does not give extra interference in the charging process (for example, when the low-SOC vehicle is charged to the high SOC but does not reach the charging target, the cloud server does not terminate the charging of the high-SOC vehicle and arrange the charging of the other low SOC). In the surplus electric quantity load distribution demand time interval of the power generation system, if the charging vehicle reaches the charging target and quits charging, the vehicle feeds back charging completion information to the cloud server, and the cloud server arranges another vehicle to accept corresponding load, so that the cloud server guarantees the stability of the power grid load power promised.
When the cloud server confirms the surplus electric quantity load distribution demand of the power generation system, besides confirming the load power required by the power grid, the time length of the load power demand is analyzed and confirmed, the index influences the matching of the cloud server to the total charging energy of the vehicles in the target area, if the total energy is smaller than the power grid supply, the load power required by the power grid cannot be accepted, the load power reduction demand needs to be applied, and the surplus demand is distributed to the power grids of other areas by the intelligent power distribution system. If the total charging energy calculated by the cloud server is larger than the supply of the power grid, the cloud server can accept the load demand or apply for obtaining larger energy distribution from the cloud server, and after the intelligent power distribution system confirms the load demand, the cloud server executes allocation according to new power.
According to the invention, the power storage and utilization load is directly connected to the power grid, and the surplus electric quantity is directly stored to the power storage and utilization load when the surplus electric quantity exists in the power generation system.
In summary, the present invention has at least one of the following advantages:
1) according to the invention, the new energy automobile is connected to the power grid and reasonably charged to store surplus electric quantity of the power grid, and the surplus electric quantity generated by the clean energy with unstable power supply capacity can be directly stored in the power utilization terminal for direct use, so that the length of an energy chain is shortened, and the electric energy utilization rate is improved.
2) The invention directly stores the clean energy in the power utilization terminal and utilizes the energy management system of the vehicle to manage, thereby avoiding the maintenance and management cost of the power storage station.
3) The existing intelligent power distribution system can indirectly adjust the load demand of clean energy by adjusting the generated energy of other types of power generation systems, the function is based on the allocation of market demand and clean energy power supply capacity, but the method has high adjustment power and is relatively difficult to realize fine distribution.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, including not only those elements listed, but also other elements not expressly listed.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. An intelligent power distribution system capable of adapting to fluctuations in power supply capacity, comprising: a power generation system, a cloud server, a remote communication device and a power storage and utilization load,
the power generation system and the electricity storage and utilization load are connected with the cloud server through the remote communication device, and the cloud server receives system information of the power generation system and predicts surplus electric quantity information of the power generation system by combining power generation capacity influence factors and power utilization information;
the cloud server also receives the chargeable quantity information uploaded by the electricity storage and utilization loads, and reasonably arranges the corresponding electricity storage and utilization loads to be connected into a power grid for charging by combining the chargeable quantity information of the electricity storage and utilization loads and the surplus electric quantity information of the power generation system.
2. The intelligent power distribution system capable of adapting to power supply capacity fluctuation according to claim 1, wherein the power storage and utilization load is a new energy automobile.
3. The intelligent power distribution system capable of adapting to power supply capacity fluctuation according to claim 2, wherein the power generation system information includes power generation capacity, power generation power and geographical location information of the power generation system, the new energy automobile further uploads a charging function state of a vehicle to the cloud server, and when the cloud server confirms that the vehicle can support surplus power and load distribution of power of the power generation system according to the charging function state of the vehicle, the cloud server records chargeable capacity, power and vehicle location information of the vehicle, and reasonably arranges corresponding vehicle access power grid charging according to the chargeable capacity, power and vehicle location information of the vehicle and the geographical location information of the power generation system.
4. The intelligent power distribution system capable of adapting to power supply capacity fluctuation according to claim 3, wherein the cloud server queues the charging sequence of the vehicles according to the highest energy utilization rate and the urgency of power utilization of users when arranging the corresponding vehicles to be connected to the power grid.
5. The intelligent power distribution system capable of adapting to power supply capacity fluctuation according to claim 1, wherein for the wireless charging system, the charging function status of the vehicle includes whether the vehicle is on a reserved charging function or a valley charging function, whether the vehicle is in a wireless charging area, and whether the vehicle can start wireless charging at any time; for the wired charging system, the charging function status of the vehicle includes whether the vehicle starts a reserved charging function or a valley charging function, and whether a charging cable is connected.
6. An intelligent power distribution method capable of adapting to power supply capacity fluctuation, characterized by comprising:
receiving system information of a power generation system;
predicting surplus electric quantity information of the power generation system by combining the power generation capacity influence factors and the power utilization information;
receiving chargeable quantity information uploaded by a power storage and utilization load;
and reasonably arranging the corresponding electricity storage and utilization loads to be connected into a power grid for charging by combining the chargeable quantity information of the electricity storage and utilization loads and the surplus electric quantity information of the power generation system.
7. The intelligent power distribution method capable of adapting to power supply capacity fluctuation according to claim 6, wherein the receiving of the chargeable amount information uploaded by the power storage and utilization load comprises:
uploading the charging function state of the electricity storage and utilization load to a cloud server;
when the charging function state of the electricity storage and utilization load is confirmed to support surplus electricity and load distribution of power of the power generation system, the chargeable amount, the power and the position information of the electricity storage and utilization load are recorded.
8. The intelligent power distribution method capable of adapting to the fluctuation of the power supply capability according to claim 7, wherein when it is determined whether the power storage electric load can support the load distribution of the surplus power of the power generation system based on the charging function state of the power storage electric load,
if the wired charging system is aimed at, the steps include: confirming whether the electricity storage and utilization load starts an appointment charging function or a valley power charging function; confirming whether a charging cable is connected; reporting the charging function state of the power storage and utilization load to a cloud server;
if the wireless charging system is aimed at, the steps include: confirming whether the electricity storage and utilization load starts an appointment charging function or a valley power charging function; confirming whether the power storage electric load is in a wireless charging area; confirming whether the power storage electric load can start wireless charging at any time; and reporting the charging function state of the power storage and utilization load to a cloud server.
9. The intelligent power distribution method capable of adapting to the fluctuation of the power supply capacity of claim 8, wherein the reasonable arrangement of the corresponding power storage and utilization loads to be connected to the power grid for charging by combining the chargeable capacity information of the power storage and utilization loads and the surplus capacity information of the power generation system comprises:
matching the grasped load condition of the electricity storage and utilization load with the load demand of surplus electric quantity of the power generation system, and determining the load power and the total charging energy which need to be provided;
and sequencing the electricity storage and utilization loads in the area matched with the power generation system, and accessing the electricity storage and utilization loads into a power grid for charging according to a certain sequence.
10. The intelligent power distribution method capable of adapting to the fluctuation of the power supply capacity as claimed in claim 9, wherein when the power storage and utilization loads in the area matched with the intelligent power distribution system are ranked, the charging order is queued according to the urgency of the power utilization rate of the energy sources and the power utilization of the users.
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Application publication date: 20210122 |