CN114301093A - Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium - Google Patents

Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium Download PDF

Info

Publication number
CN114301093A
CN114301093A CN202111635614.3A CN202111635614A CN114301093A CN 114301093 A CN114301093 A CN 114301093A CN 202111635614 A CN202111635614 A CN 202111635614A CN 114301093 A CN114301093 A CN 114301093A
Authority
CN
China
Prior art keywords
power
current
electric quantity
battery
photovoltaic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111635614.3A
Other languages
Chinese (zh)
Inventor
程立
周小力
孙国杰
刘章
陆韬
冯涛
袁媛
齐贺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Construction Technology Group Beijing Low Carbon Smart City Technology Co ltd
Original Assignee
China Construction Technology Group Beijing Low Carbon Smart City Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Construction Technology Group Beijing Low Carbon Smart City Technology Co ltd filed Critical China Construction Technology Group Beijing Low Carbon Smart City Technology Co ltd
Priority to CN202111635614.3A priority Critical patent/CN114301093A/en
Publication of CN114301093A publication Critical patent/CN114301093A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

Abstract

The invention relates to the technical field of photovoltaic power generation, in particular to a method, a device, equipment and a storage medium for controlling the electric energy supply of a photovoltaic microgrid. According to the invention, different power supply strategies are executed according to the power comparison result and the battery electric quantity comparison result in different time periods, such as: predicting the generated energy and the power consumption in a future period of time through AI in the flat price period and the valley price period, and comparing the generated energy with the power consumption to determine which power supply strategy is used; the technical problems that when photovoltaic power generation and a power grid are connected to the power grid, a large amount of loss is caused to electric energy and resources are wasted are solved, the utilization rate of the electric energy is improved, and the resource waste is reduced.

Description

Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a method, a device, equipment and a storage medium for controlling the electric energy supply of a photovoltaic microgrid.
Background
The existing micro-grid control platform only utilizes grid-connected photovoltaic power generation to earn electric charge income or introduces energy storage equipment, so that the aims of stabilizing photovoltaic, peak clipping and valley filling and the like are fulfilled. However, the photovoltaic power generation has great randomness, and grid connection without limitation of photovoltaic causes great impact on a power grid. In addition, because the output of the photovoltaic is direct current and the power grid is alternating current, the direct current needs to be converted into alternating current before the photovoltaic grid connection, so that the energy loss is increased, and the more the electric energy transmitted to the power grid by the photovoltaic is, the larger the loss is; meanwhile, the existing light storage micro-grid charges a battery with photovoltaic power generation first, then converts direct current output by the battery into alternating current to be supplied to an electric appliance for use, or directly converts the photovoltaic power generation into the alternating current to be supplied to the electric appliance for use, and the two ways of consuming the photovoltaic power generation on site need to carry out direct current-alternating current conversion, so that energy loss is increased.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for controlling electric energy supply of a photovoltaic micro-grid, and aims to solve the technical problems that a large amount of electric energy is lost and resources are wasted when photovoltaic power generation and a grid are connected in the prior art.
In order to achieve the above object, the present invention provides a method for controlling power supply to a photovoltaic microgrid, comprising the steps of:
acquiring current time period information, and determining corresponding target battery electric quantity according to the current time period information;
acquiring current photovoltaic power generation power, current load power consumption power and current battery power;
comparing the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result;
comparing the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result;
and executing a corresponding power supply strategy according to the current time period information, the electric quantity comparison result and the power comparison result.
Optionally, the obtaining current time period information and determining a corresponding target battery power according to the current time period information include:
acquiring current time interval information;
when the current time period information is in a flat price time period or a valley price stage, battery electric quantity prediction is carried out through a preset battery electric quantity prediction model to obtain due battery electric quantity, and the due battery electric quantity of the battery is marked as target battery electric quantity;
and when the current time interval information is the peak price time interval, acquiring battery characteristic information, and determining the corresponding target battery electric quantity according to the battery characteristic information.
Optionally, the predicting the battery power by using a preset battery power prediction model to obtain the due battery power of the battery, and marking the due battery power of the battery as the target battery power includes:
predicting the battery electric quantity through a preset battery electric quantity prediction model to obtain the photovoltaic power generation capacity and the load power consumption in a preset time interval;
and determining the due electric quantity of the battery according to the photovoltaic power generation quantity and the load power consumption quantity, and marking the due electric quantity of the battery as a target battery electric quantity.
Optionally, the executing a corresponding power supply policy according to the current time period information, the electric quantity comparison result, and the power comparison result includes:
when the current time interval information is a peak price time interval and the current photovoltaic power generation power is greater than the current load power consumption power, operating a preset first power supply strategy;
when the current photovoltaic power generation power is not more than the current load power consumption power and the current battery electric quantity is not more than the target battery electric quantity, operating a preset second power supply strategy;
and when the current photovoltaic power generation power is not greater than the current load power consumption power and the current battery electric quantity is greater than the target battery electric quantity, operating a preset fourth power supply strategy.
Optionally, the executing a corresponding power supply policy according to the current time period information, the electric quantity comparison result, and the power comparison result includes:
when the current time period information is in a valley price stage, if the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, operating a preset first power supply strategy;
when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is not greater than the current load power consumption power, a preset second power supply strategy is operated;
and operating a preset third power supply strategy when the current battery electric quantity is less than the target battery electric quantity.
Optionally, the executing a corresponding power supply policy according to the current time period information, the electric quantity comparison result, and the power comparison result includes:
when the current time interval information is a flat time interval, if the current battery electric quantity is smaller than the target battery electric quantity, a preset third power supply strategy is operated;
and when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, a preset first power supply strategy is operated.
Optionally, when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is not greater than the current load power consumption power, comparing the photovoltaic power generation quantity with the preset power generation quantity threshold;
when the photovoltaic power generation amount is larger than the preset power generation amount threshold value, comparing the current battery power amount with a preset battery power amount threshold value to obtain a battery power amount comparison result;
and adjusting the charge and discharge power of the battery based on the generated energy comparison result and the battery electric quantity comparison result.
In addition, in order to achieve the above object, the present invention further provides a photovoltaic microgrid power supply control device, including: the device comprises an electric quantity calculation module, an information acquisition module, a power comparison module, an electric quantity comparison module and a strategy execution module;
the electric quantity calculation module is used for acquiring current time period information and determining the corresponding target battery electric quantity according to the current time period information;
the information acquisition module is used for acquiring the current photovoltaic power generation power, the current load power consumption power and the current battery electric quantity;
the power comparison module is used for comparing the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result;
the electric quantity comparison module is used for comparing the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result;
and the strategy execution module is used for executing a corresponding power supply strategy according to the current time period information, the electric quantity comparison result and the power comparison result.
In addition, in order to achieve the above object, the present invention further provides a photovoltaic microgrid power supply control apparatus, including: the photovoltaic microgrid power supply control system comprises a memory, a processor and a photovoltaic microgrid power supply control program stored on the memory and operable on the processor, wherein the photovoltaic microgrid power supply control program is configured to implement the steps of the photovoltaic microgrid power supply control method as described above.
In addition, in order to achieve the above object, the present invention further provides a storage medium, where a photovoltaic microgrid power supply control program is stored, and when being executed by a processor, the photovoltaic microgrid power supply control program implements the steps of the photovoltaic microgrid power supply control method as described above.
The method comprises the steps of obtaining current time period information, determining corresponding target battery electric quantity according to the current time period information, obtaining current photovoltaic power generation power, current load power consumption power and current battery electric quantity, comparing the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result, comparing the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result, and executing a corresponding power supply strategy according to the current time period information, the electric quantity comparison result and the power comparison result; compared with the prior art, different power supply strategies are executed according to the power comparison result and the battery electric quantity comparison result in different time periods, so that the loss of electric energy when the photovoltaic power generation and the power grid are connected in a grid is reduced, resources are saved, the utilization rate of the electric energy is improved, and the waste of the resources is reduced.
Drawings
FIG. 1 is a schematic structural diagram of a photovoltaic micro-grid power supply control device of a hardware operating environment according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a first embodiment of a photovoltaic microgrid power supply control method of the present invention;
FIG. 3 is a schematic flow chart of a photovoltaic microgrid power supply control method according to a second embodiment of the invention;
fig. 4 is a schematic diagram of a power supply control flow in a valley price period of the photovoltaic microgrid power supply control method according to the third embodiment of the invention;
fig. 5 is a schematic diagram of a power supply control flow in a flat time period of a third embodiment of the photovoltaic microgrid power supply control method of the present invention;
fig. 6 is a schematic diagram of a power supply control flow in a peak price period of a photovoltaic microgrid power supply control method according to a third embodiment of the invention;
fig. 7 is a block diagram illustrating the structure of a first embodiment of the photovoltaic microgrid power supply control device according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a photovoltaic microgrid power supply control device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the photovoltaic microgrid power supply control apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the photovoltaic microgrid power supply control apparatus and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a storage medium 1005 may include an operating system, a network communication module, a user interface module, and a photovoltaic microgrid power supply control program.
In the photovoltaic microgrid power supply control apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the photovoltaic microgrid power supply control device of the present invention may be disposed in the photovoltaic microgrid power supply control device, and the photovoltaic microgrid power supply control device calls the photovoltaic microgrid power supply control program stored in the memory 1005 through the processor 1001 and executes the photovoltaic microgrid power supply control method provided by the embodiment of the present invention.
An embodiment of the present invention provides a method for controlling power supply to a photovoltaic microgrid, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the method for controlling power supply to a photovoltaic microgrid according to the present invention.
In this embodiment, the method for controlling the power supply of the photovoltaic microgrid comprises the following steps:
step S10: and acquiring current time period information, and determining the corresponding target battery electric quantity according to the current time period information.
It should be noted that the main execution subject of the method of the present embodiment is a photovoltaic microgrid power supply control device, wherein the photovoltaic microgrid power supply control device may be an electronic device with data transmission and data processing, for example: the present invention relates to a computer, a mobile phone, a control computer, and the like, and can also be other electronic devices with the same or similar functions.
It should be noted that the current time period information may be time period information divided according to the current time, where the current time period information includes: flat time period, valley time period and peak time period, for example: the peak valence period may be 7: 00-1: 00, 19: 00-23: 00; the flat period may be 11: 00-19: 00; the valley price period may be 23: 00-day 7: 00, the exact time periods for the flat price time period, the valley price time period and the peak price time period divided according to the difference of each region may be different.
It can be understood that the target battery electric quantity has different values according to different time periods, and prediction can be performed according to a preset battery electric quantity prediction model in the valley price time period and the flat price time period, so that the battery due electric quantity at the end of the time period is obtained; at the time of the peak price period, the target battery capacity may be a preset capacity value determined according to characteristic information of the battery, wherein the characteristic information includes: capacity, life, etc. of the battery.
Step S20: and acquiring the current photovoltaic power generation power, the current load power consumption power and the current battery electric quantity.
It should be noted that the current photovoltaic power generation power refers to the total power of the electric energy obtained through photovoltaic power generation at the current moment; the current power consumption is the total power consumption of all local electric equipment corresponding to the current moment.
It should be understood that the current battery capacity refers to the total electrical energy stored by the corresponding battery at the current moment, where the battery storing the electrical energy may be a lithium battery, a cadmium nickel battery, a hydrogen nickel battery, and the like, and the present embodiment is not particularly limited to the kind of the battery storing the electrical energy.
Step S30: and comparing the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result.
It should be noted that, when the current photovoltaic power generation power is greater than the current load power consumption power, it indicates that the electric energy obtained through photovoltaic power generation in this time period is greater than the electric energy consumed locally, in actual operation, if the electric energy obtained through photovoltaic power generation is greater than the electric energy consumed locally, in order to reduce the loss of electric energy transmitted through the power grid, the electric energy obtained through photovoltaic power generation may be all used for the electric energy equipment consumed locally, and the surplus part is transmitted to the power grid to reduce the electric energy loss.
In addition, when the current photovoltaic power generation power is smaller than the current load power consumption power, it means that the electric energy obtained through photovoltaic power generation in this period is smaller than the electric energy consumed locally, that is, the electric energy obtained through photovoltaic power generation is not enough for the electric energy consumed locally, and in order to maintain the normal operation of the local device, the power can be supplied by an external power supply, for example: the photovoltaic power generation is connected with the power grid in a grid mode, and power can be supplied through the storage battery.
Step S40: and comparing the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result.
It can be understood that, because the target battery electric quantities corresponding to different time periods are different, and the requirements for the battery electric quantities in different time periods are also different, for the valley price time period and the peak price time period with less electricity consumption, the electric energy obtained by the local photovoltaic power generation may be more than the electric energy consumed locally, at this time, the extra electric energy may be stored, so that in the peak price time period, the electric energy obtained by the photovoltaic power generation is not enough for the electric energy consumed locally, that is, the electric energy may be supplied by the battery.
Step S50: and executing a corresponding power supply strategy according to the current time period information, the electric quantity comparison result and the power comparison result.
It should be noted that the power supply strategy may be a load power supply method determined according to different time periods, different power quantity comparison results, and different power comparison results.
The embodiment obtains current time interval information, determines a corresponding target battery electric quantity according to the current time interval information, obtains current photovoltaic power generation power, current load power consumption power and current battery electric quantity, compares the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result, compares the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result, and executes a corresponding power supply strategy according to the current time interval information, the electric quantity comparison result and the power comparison result; according to the embodiment, different power supply strategies are executed according to the power comparison result and the battery electric quantity comparison result in different time periods, so that the loss of electric energy when the photovoltaic power generation and the power grid are connected to the power grid is reduced, resources are saved, the utilization rate of the electric energy is improved, and the resource waste is reduced.
Referring to fig. 3, fig. 3 is a schematic flow chart of a photovoltaic microgrid power supply control method according to a second embodiment of the present invention.
Based on the first embodiment, in this embodiment, the step S10 includes:
step S101: and acquiring current time interval information.
It should be noted that, the current time period information may be time period information divided according to a current time, where the current time period information includes: the price-balancing time interval, the valley price time interval and the peak price time interval, wherein the accurate time intervals of the price-balancing time interval, the valley price time interval and the peak price time interval according to different divisions of each region may be different.
Step S102: and when the current time period information is in a flat price time period or a valley price stage, predicting the battery electric quantity through a preset battery electric quantity prediction model to obtain the due battery electric quantity of the battery, and marking the due battery electric quantity of the battery as the target battery electric quantity.
It should be noted that the preset battery power prediction model is used for predicting the due power of the battery at the end of the current time period.
Further, the step S102 includes:
predicting the battery electric quantity through a preset battery electric quantity prediction model to obtain the photovoltaic power generation capacity and the load power consumption in a preset time interval;
and determining the due electric quantity of the battery according to the photovoltaic power generation quantity and the load power consumption quantity, and marking the due electric quantity of the battery as a target battery electric quantity.
It should be understood that the preset battery power prediction model may be an AI prediction model, and may also be other models having a function of predicting the photovoltaic power generation amount and the load power consumption amount within a preset time interval, which is not particularly limited in this embodiment.
It is easy to understand that the photovoltaic power generation amount refers to a predicted total amount of electric energy obtained through photovoltaic power generation within a preset time, and the load power consumption amount refers to a predicted total amount of electric energy consumed by all loads within the preset time, wherein the preset time interval may be a manually set time interval, and in the present embodiment, the preset time interval is 24 h.
In this embodiment, under the condition of fixed geographic and photovoltaic parameters, the determining factors of the photovoltaic power generation amount/power include: irradiation, temperature, humidity, atmospheric pressure, wind speed, wind direction, rainfall and other weather information.
It should be understood that the conditions of buildings and electric appliances are determined, and the difference between the air-conditioning day power consumption and the outdoor ambient temperature and the standard temperature is strongly correlated regardless of the fluctuation (whether it is a working day) of the user's use,
thus, the load power consumption for a time period t in the future can be expressed as:
Figure BDA0003439134170000091
where γ is a coefficient related to system conditions, and can be derived from operational data after several days of uncontrolled operation of the system, T1 is the ambient temperature within a future time period of T obtained from weather forecasts, and T2 is a seasonally varying empirical value. In the time of the holiday of the festival,
Figure BDA0003439134170000092
is an empirical value varying with seasons, i.e. each season has a corresponding empirical constant
Figure BDA0003439134170000093
In the specific implementation, weather information in a future preset time interval is obtained, and the weather information is predicted through a preset photovoltaic power generation amount prediction model, wherein in order to obtain the preset photovoltaic power generation amount prediction model, a weather information sample and a photovoltaic power generation amount sample need to be obtained and trained through a recurrent neural network, and the prediction can be completed through historical data and a back propagation algorithm.
It should be understood that the formula for obtaining the due charge of the battery in the flat time period is as follows:
Figure BDA0003439134170000094
wherein, BfK is an empirical coefficient and is a value range of 0 to 1, tpIs the duration of the remaining peak value period between the end of the flat value period and the beginning of the most recent next off-peak value period,
Figure BDA0003439134170000095
and
Figure BDA0003439134170000096
respectively, the t predicted by AIpPhotovoltaic power generation and load power consumption in the time period.
In addition, the formula for obtaining the due electric quantity of the battery in the valley price time period is as follows:
Figure BDA0003439134170000097
wherein, BvBeta is an empirical coefficient and is the due electric quantity of the battery in the valley price time period, and the value range is 0 to 1, tpIs the time length of the remaining peak price period between the end of the valley price period and the beginning of the latest next valley price period,
Figure BDA0003439134170000098
and
Figure BDA0003439134170000099
respectively, the t predicted by AIpThe photovoltaic power generation amount and the load power consumption amount in the time period, min (a, b) represents taking the smaller value of a and b, and max (a, b) represents taking the larger value of a and b.
Step S103: and when the current time interval information is the peak price time interval, acquiring battery characteristic information, and determining the corresponding target battery electric quantity according to the battery characteristic information.
It should be noted that, during the peak price period, the target battery capacity may be a preset capacity value determined according to the characteristic information of the battery, where the characteristic information includes: capacity, life, etc. of the battery.
In the embodiment, by acquiring current time period information, when the current time period information is in a flat price time period or a valley price stage, battery electric quantity prediction is performed through a preset battery electric quantity prediction model to obtain due electric quantity of a battery, the due electric quantity of the battery is marked as a target battery electric quantity, when the current time period information is in a peak price time period, battery characteristic information is acquired, and a corresponding target battery electric quantity is determined according to the battery characteristic information. (ii) a The invention can better adapt to the comparison of the battery electric quantity in different environments and has stronger practicability by giving the calculation formula of the target battery electric quantity at different time intervals.
Referring to fig. 4, fig. 4 is a schematic diagram of a valley price period flow of a third embodiment of the method for controlling power supply to a photovoltaic microgrid according to the present invention.
Based on the second embodiment, in this embodiment, the step S50 includes:
step S501: and when the current time period information is in a valley price stage, if the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, operating a preset first power supply strategy.
It should be noted that, the presetting of the first power supply strategy means that the battery and the load are only powered by the photovoltaic by judging whether the chargeable amount of the battery is greater than 0, if the chargeable amount of the battery is greater than 0, the battery is charged with a value not exceeding a power limit value, and the photovoltaic residual power is reversely transmitted to the power grid; if the chargeable amount of the battery is equal to 0, the charging and discharging power of the battery is 0, the load is supplied by the photovoltaic power only, and the photovoltaic residual power is reversely transmitted to the power grid.
In addition, the preset first power supply strategy also comprises the step of adjusting the charge and discharge power of the battery to the highest charge and discharge power, wherein the highest charge and discharge power is the maximum ideal charge and discharge power of the valley-price battery.
In a specific implementation, when the current time period information is in a valley price stage, if the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, whether the chargeable quantity of the battery is greater than 0 is judged, if the chargeable quantity of the battery is greater than 0, the battery and the load are only powered by photovoltaic, the battery is charged by a value not exceeding a power limit value, and the photovoltaic residual power is reversely transmitted to a power grid; if the chargeable amount of the battery is equal to 0, the charging and discharging power of the battery is 0, the load is supplied by the photovoltaic, the photovoltaic residual power is reversely transmitted to the power grid, and the charging and discharging power of the battery is adjusted to the maximum ideal charging and discharging power of the valley-price battery.
Step S502: and when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is not greater than the current load power consumption power, operating a preset second power supply strategy.
It is worth to be noted that the preset second power supply strategy means that all photovoltaic power is supplied to the load, the insufficient part is obtained from the power grid, and the battery charging and discharging power is 0.
In a specific implementation, since the current photovoltaic power generation power is not greater than the current load power consumption power, that is, the electric energy obtained through photovoltaic power generation is less than the electric energy consumed locally, that is, the electric energy obtained through photovoltaic power generation is not enough for the electric energy consumed locally, in order to maintain the normal operation of the local device, power may be supplied through the power grid.
Wherein, make the battery keep certain electric quantity for follow-up peak price provides the assurance of supplying power through the battery, wherein, the electric quantity that the battery kept last and subsequent period photovoltaic generated energy are relevant with load power consumption, for example: the photovoltaic power generation amount at the next moment is far greater than the load power consumption, if the battery keeps high electric energy storage, redundant electric energy can only be connected with a power grid, and a large amount of electric energy is wasted, so that the battery power retention amount needs to be determined according to the photovoltaic power generation amount and the load power consumption amount at the next time, and the embodiment does not specifically limit the power retention amount.
Step S503: and operating a preset third power supply strategy when the current battery electric quantity is less than the target battery electric quantity.
It can be understood that, the preset third power supply strategy is to charge the battery as a load with the maximum ideal charging and discharging power of the valley price battery, at this time, if the photovoltaic power is greater than the load power, it is determined whether the chargeable amount of the battery is greater than 0, if the chargeable amount of the battery is greater than 0, the battery and the load are only supplied with power by the photovoltaic, the battery is charged with a value not exceeding the power limit value, and the photovoltaic residual power is reversely transmitted to the power grid; if the chargeable amount of the battery is equal to 0, the charging and discharging power of the battery is 0, the load is supplied by the photovoltaic power only, and the photovoltaic residual power is reversely transmitted to the power grid; and if the photovoltaic power is not greater than the load power, the photovoltaic power is completely supplied to the load.
Referring to fig. 5, fig. 5 is a schematic view of a flat time period flow chart of a third embodiment of the photovoltaic microgrid electric energy supply control method of the present invention.
In the present embodiment, step S50 includes
Step S501': when the current time interval information is a flat time interval, if the current battery electric quantity is smaller than the target battery electric quantity, a preset third power supply strategy is operated;
step S502': and when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, a preset first power supply strategy is operated.
It should be noted that, during the flat time period, when the electric energy stored in the current battery does not reach the target battery electric quantity during the flat time period, the battery is preferentially used as the load for charging, and the formula for obtaining the battery charging power during the flat time period is as follows:
Figure BDA0003439134170000111
wherein the content of the first and second substances,
Figure BDA0003439134170000112
the battery charging power in the average time period, N is the chargeable and dischargeable times of the battery, C is the battery capacity, T is the expected number of days of use, T is the peak price duration of each day, and q is a coefficient determined by the charging and discharging characteristics of the battery.
It should be understood that, when the current battery power is not less than the target battery power and the current photovoltaic power generation power is not greater than the current load power consumption power, comparing the photovoltaic power generation amount with the preset power generation amount threshold; when the photovoltaic power generation amount is larger than the preset power generation amount threshold value, comparing the current battery power amount with a preset battery power amount threshold value to obtain a battery power amount comparison result; and adjusting the charge and discharge power of the battery based on the generated energy comparison result and the battery electric quantity comparison result.
In a specific implementation, when the current battery electric quantity in an equivalent time period is not less than the target battery electric quantity, and the current photovoltaic power generation power is not greater than the current load power consumption power, it indicates that the power generation amount is not enough for the load to be consumed, it can be predicted whether the photovoltaic power generation amount in the next time period is greater than a preset power generation amount threshold, if the photovoltaic power generation amount in the next time period is not greater than the preset power generation amount threshold, it indicates that the photovoltaic power generation amount in the next time period is still not enough, and at this time, the battery charging and discharging power can be kept to be 0; if the photovoltaic power generation amount in the next time interval is larger than the preset power generation amount threshold value, the wide power generation amount in the next time interval can provide electric energy for the load, and at the moment, whether charging is needed or not is judged by detecting the current battery power so as to provide guarantee for insufficient electric energy in the peak price time interval.
It can be understood that, if the current battery capacity is greater than the preset capacity, the battery is charged with the second charging power not higher than the preset flat price, and the formula for obtaining the second charging power is as follows:
Figure BDA0003439134170000121
wherein Q isfIs the photovoltaic power generation amount in the rest time of the flat time period, tfFor the time remaining in the flat period, BfThe battery should have electric quantity in a flat time period, wherein
Figure BDA0003439134170000122
Is an empirically set value greater than BfThe value of (c).
Referring to fig. 6, fig. 6 is a schematic diagram of a peak price period flow of a third embodiment of the method for controlling power supply to a photovoltaic microgrid according to the present invention.
In this embodiment, the step S50 includes:
step S501': when the current time interval information is a peak price time interval and the current photovoltaic power generation power is greater than the current load power consumption power, operating a preset first power supply strategy;
step S502': when the current photovoltaic power generation power is not more than the current load power consumption power and the current battery electric quantity is not more than the target battery electric quantity, operating a preset second power supply strategy;
step S503': and when the current photovoltaic power generation power is not greater than the current load power consumption power and the current battery electric quantity is greater than the target battery electric quantity, operating a preset fourth power supply strategy.
The preset fourth power supply strategy means that all photovoltaic power supplies power to the load, the battery supplies power to the load with the highest charge-discharge power not higher than the peak price, and the insufficient part is supplied with power by the power grid.
The formula for obtaining the charging power of the peak price battery is as follows:
Figure BDA0003439134170000123
wherein the content of the first and second substances,
Figure BDA0003439134170000124
the highest charging power of the valley-price battery,
Figure BDA0003439134170000125
the highest charging power of the flat battery.
In specific implementation, the current photovoltaic power generation power is not greater than the current load power consumption power, that is, the electric energy obtained through photovoltaic power generation is not enough to provide the electric energy consumed by the load, and on the premise that the current battery electric quantity is enough, the load can be powered by the battery, and if the current battery electric quantity is not enough, the power is supplied by the power grid.
In the embodiment, different power supply strategies are determined according to different electric quantity comparison results and power comparison results in three time periods, so that the maximization of electric energy benefit is realized, the loss of electric energy when the photovoltaic power generation and the power grid are connected to the power grid is reduced, resources are saved, the utilization rate of the electric energy is improved, and the resource waste is reduced.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores a photovoltaic microgrid electric energy supply control program, and the photovoltaic microgrid electric energy supply control program, when executed by a processor, implements the steps of the photovoltaic microgrid electric energy supply control method described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Referring to fig. 7, fig. 7 is a block diagram illustrating a first embodiment of the photovoltaic microgrid power supply control device according to the present invention.
As shown in fig. 7, the photovoltaic microgrid power supply control device provided by the embodiment of the present invention includes: the system comprises an electric quantity calculation module 10, an information acquisition module 20, a power comparison module 30, an electric quantity comparison module 40 and a strategy execution module 50;
the electric quantity calculating module 10 is configured to obtain current time interval information, and determine a corresponding target battery electric quantity according to the current time interval information;
the information acquisition module 20 is configured to acquire a current photovoltaic power generation power, a current load power consumption power, and a current battery power;
the power comparison module 30 is configured to compare the current photovoltaic power generation power with the current load power consumption power, and obtain a power comparison result;
the electric quantity comparison module 40 is configured to compare the current battery electric quantity with a target battery electric quantity to obtain an electric quantity comparison result;
the policy executing module 50 is configured to execute a corresponding power supply policy according to the current time period information, the electric quantity comparison result, and the power comparison result.
The embodiment obtains current time interval information, determines a corresponding target battery electric quantity according to the current time interval information, obtains current photovoltaic power generation power, current load power consumption power and current battery electric quantity, compares the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result, compares the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result, and executes a corresponding power supply strategy according to the current time interval information, the electric quantity comparison result and the power comparison result; according to the embodiment, different power supply strategies are executed according to the power comparison result and the battery electric quantity comparison result in different time periods, so that the technical problems that when photovoltaic power generation is connected with a power grid, a large amount of loss and resources are wasted on electric energy are avoided, the utilization rate of the electric energy is improved, and the resource waste is reduced.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, technical details that are not described in detail in this embodiment may be referred to a method for controlling power supply to a photovoltaic microgrid provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A photovoltaic microgrid power supply control method is characterized by comprising the following steps:
acquiring current time period information, and determining corresponding target battery electric quantity according to the current time period information;
acquiring current photovoltaic power generation power, current load power consumption power and current battery power;
comparing the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result;
comparing the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result;
and executing a corresponding power supply strategy according to the current time period information, the electric quantity comparison result and the power comparison result.
2. The method for controlling power supply to the photovoltaic microgrid according to claim 1, wherein the step of obtaining information of a current time period and determining a corresponding target battery power according to the information of the current time period comprises:
acquiring current time interval information;
when the current time period information is in a flat price time period or a valley price stage, battery electric quantity prediction is carried out through a preset battery electric quantity prediction model to obtain due battery electric quantity, and the due battery electric quantity of the battery is marked as target battery electric quantity;
and when the current time interval information is the peak price time interval, acquiring battery characteristic information, and determining the corresponding target battery electric quantity according to the battery characteristic information.
3. The method for controlling power supply to a photovoltaic microgrid according to claim 2, wherein the step of predicting the battery power through a preset battery power prediction model to obtain the due battery power and marking the due battery power as the target battery power comprises:
predicting the battery electric quantity through a preset battery electric quantity prediction model to obtain the photovoltaic power generation capacity and the load power consumption in a preset time interval;
and determining the due electric quantity of the battery according to the photovoltaic power generation quantity and the load power consumption quantity, and marking the due electric quantity of the battery as a target battery electric quantity.
4. The photovoltaic microgrid power supply control method of any one of claims 1-3, wherein the current period information includes a peak price period;
the executing the corresponding power supply strategy according to the current time interval information, the electric quantity comparison result and the power comparison result comprises the following steps:
when the current time interval information is a peak price time interval and the current photovoltaic power generation power is greater than the current load power consumption power, operating a preset first power supply strategy;
when the current photovoltaic power generation power is not more than the current load power consumption power and the current battery electric quantity is not more than the target battery electric quantity, operating a preset second power supply strategy;
and when the current photovoltaic power generation power is not greater than the current load power consumption power and the current battery electric quantity is greater than the target battery electric quantity, operating a preset fourth power supply strategy.
5. The photovoltaic microgrid power supply control method of any one of claims 1-3, wherein the current period information includes a valley price period;
the executing the corresponding power supply strategy according to the current time interval information, the electric quantity comparison result and the power comparison result comprises the following steps:
when the current time period information is in a valley price stage, if the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, operating a preset first power supply strategy;
when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is not greater than the current load power consumption power, a preset second power supply strategy is operated;
and operating a preset third power supply strategy when the current battery electric quantity is less than the target battery electric quantity.
6. The photovoltaic microgrid power supply control method of any one of claims 1-3, wherein the current period information includes a flat period;
the executing the corresponding power supply strategy according to the current time interval information, the electric quantity comparison result and the power comparison result comprises the following steps:
when the current time interval information is a flat time interval, if the current battery electric quantity is smaller than the target battery electric quantity, a preset third power supply strategy is operated;
and when the current battery electric quantity is not less than the target battery electric quantity and the current photovoltaic power generation power is greater than the current load power consumption power, a preset first power supply strategy is operated.
7. The method for controlling power supply to a photovoltaic microgrid according to claim 6, wherein when the current time period information is a flat time period, the current battery power is not less than a target battery power, and when the current photovoltaic power generation power is greater than the current load power consumption power, after a preset first power supply strategy is operated, the method further comprises:
comparing the photovoltaic power generation capacity with the preset power generation capacity threshold when the current battery power is not less than the target battery power and the current photovoltaic power generation power is not greater than the current load power consumption power;
when the photovoltaic power generation amount is larger than the preset power generation amount threshold value, comparing the current battery power amount with a preset battery power amount threshold value to obtain a battery power amount comparison result;
and adjusting the charge and discharge power of the battery based on the generated energy comparison result and the battery electric quantity comparison result.
8. A photovoltaic microgrid power supply control apparatus, characterized in that it comprises:
the electric quantity calculation module is used for acquiring current time period information and determining the corresponding target battery electric quantity according to the current time period information;
the information acquisition module is used for acquiring the current photovoltaic power generation power, the current load power consumption power and the current battery electric quantity;
the power comparison module is used for comparing the current photovoltaic power generation power with the current load power consumption power to obtain a power comparison result;
the electric quantity comparison module is used for comparing the current battery electric quantity with the target battery electric quantity to obtain an electric quantity comparison result;
and the strategy execution module is used for executing a corresponding power supply strategy according to the current time period information, the electric quantity comparison result and the power comparison result.
9. A photovoltaic microgrid power supply control apparatus characterized by comprising: a memory, a processor, and a photovoltaic microgrid power supply control program stored on the memory and executable on the processor, the photovoltaic microgrid power supply control program configured to implement the photovoltaic microgrid power supply control method of any one of claims 1 to 7.
10. A storage medium having stored thereon a photovoltaic microgrid power supply control program which, when executed by a processor, implements a photovoltaic microgrid power supply control method according to any one of claims 1 to 7.
CN202111635614.3A 2021-12-28 2021-12-28 Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium Pending CN114301093A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111635614.3A CN114301093A (en) 2021-12-28 2021-12-28 Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111635614.3A CN114301093A (en) 2021-12-28 2021-12-28 Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114301093A true CN114301093A (en) 2022-04-08

Family

ID=80972194

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111635614.3A Pending CN114301093A (en) 2021-12-28 2021-12-28 Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114301093A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117200300A (en) * 2023-11-03 2023-12-08 深圳海辰储能科技有限公司 Electric energy scheduling method and device based on energy storage system
CN117638927A (en) * 2024-01-26 2024-03-01 中建科技集团有限公司 Flexible operation control method, system and storage medium of power grid interactive micro-grid system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102427249A (en) * 2011-12-19 2012-04-25 天津市电力公司 Method and system for controlling distributed micro-grid parallel operation
CN109193812A (en) * 2018-09-25 2019-01-11 科大智能(合肥)科技有限公司 A kind of garden light storage lotus micro-capacitance sensor economic load dispatching implementation method
CN110112783A (en) * 2019-05-23 2019-08-09 深圳市建筑科学研究院股份有限公司 Photovoltaic storage battery micro-capacitance sensor dispatch control method
CN110247411A (en) * 2019-05-17 2019-09-17 福建星云电子股份有限公司 A kind of user side instrumentation intelligence light storage plant capacity dynamic allocation method
CN112366708A (en) * 2020-11-30 2021-02-12 深圳市汇拓新邦科技有限公司 Charging management method, device, equipment and storage medium
WO2021179678A1 (en) * 2020-03-12 2021-09-16 珠海格力电器股份有限公司 Composite power supply system and power supply regulation and control method thereof
CN113839423A (en) * 2020-06-24 2021-12-24 中兴通讯股份有限公司 Control management method, device, equipment and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102427249A (en) * 2011-12-19 2012-04-25 天津市电力公司 Method and system for controlling distributed micro-grid parallel operation
CN109193812A (en) * 2018-09-25 2019-01-11 科大智能(合肥)科技有限公司 A kind of garden light storage lotus micro-capacitance sensor economic load dispatching implementation method
CN110247411A (en) * 2019-05-17 2019-09-17 福建星云电子股份有限公司 A kind of user side instrumentation intelligence light storage plant capacity dynamic allocation method
CN110112783A (en) * 2019-05-23 2019-08-09 深圳市建筑科学研究院股份有限公司 Photovoltaic storage battery micro-capacitance sensor dispatch control method
WO2021179678A1 (en) * 2020-03-12 2021-09-16 珠海格力电器股份有限公司 Composite power supply system and power supply regulation and control method thereof
CN113839423A (en) * 2020-06-24 2021-12-24 中兴通讯股份有限公司 Control management method, device, equipment and storage medium
CN112366708A (en) * 2020-11-30 2021-02-12 深圳市汇拓新邦科技有限公司 Charging management method, device, equipment and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117200300A (en) * 2023-11-03 2023-12-08 深圳海辰储能科技有限公司 Electric energy scheduling method and device based on energy storage system
CN117200300B (en) * 2023-11-03 2024-02-23 深圳海辰储能科技有限公司 Electric energy scheduling method and device based on energy storage system
CN117638927A (en) * 2024-01-26 2024-03-01 中建科技集团有限公司 Flexible operation control method, system and storage medium of power grid interactive micro-grid system

Similar Documents

Publication Publication Date Title
Xu et al. Online learning for offloading and autoscaling in renewable-powered mobile edge computing
CN114301093A (en) Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium
CN113060036A (en) Charging control method and device for optical storage charging station, server and storage medium
CN110048462A (en) A kind of energy dispatching method, the apparatus and system of parallel networking type photovoltaic energy-storage system
KR20190112441A (en) Energy management system and enetgy management method thereof and energy operation system
CN110783959A (en) New forms of energy power generation system's steady state control system
CN111612363B (en) Block chain-based electric quantity scheduling method and device, computer equipment and storage medium
Hashmi et al. Optimal storage arbitrage under net metering using linear programming
CN115051415B (en) AI prediction-based power distribution strategy decision method and device for light storage direct-flexible system
CN115829134B (en) Power supply scheduling method and system for uncertainty of source network load
CN115733168A (en) Energy storage charging and discharging management method and system, control terminal and storage medium
CN111049170B (en) Peak-shaving energy storage system considering temperature loss, operation optimization method and device
CN117077974A (en) Virtual power plant resource optimal scheduling method, device, equipment and storage medium
JP6069738B2 (en) Charge / discharge control system, charge / discharge control method, and charge / discharge control program
CN116111656A (en) Micro-grid dispatching method and device
CN114678855A (en) Power supply control method, system and device of power transmission line monitoring equipment
CN112821385A (en) Control method and device of energy storage system and computer readable storage medium
CN116826814A (en) Electric energy management method based on battery cluster, energy manager and related medium
CN117060475A (en) Control method of new energy charging station and related equipment
JP7108524B2 (en) Charge/discharge control device and charge/discharge control method
CN110968947A (en) Virtual power plant scheduling method, device and system
JP7252116B2 (en) Renewable energy power generation system
CN112564151B (en) Multi-microgrid cloud energy storage optimization scheduling method and system considering privacy awareness
TWI841325B (en) Power management method for island microgrid
CN116454983B (en) Wind-solar-energy-storage combined optimal control management method, system and equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination