CN114254912A - Load control system and method for electric vehicle charging station - Google Patents
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Abstract
The invention provides a load control system and a method for an electric vehicle charging station, wherein the load control system comprises a power grid dispatching platform, a load control platform and a load control platform, wherein the power grid dispatching platform is used for evaluating the load quantity to be reduced in a target platform area in a target area according to power utilization information and line information and outputting the load quantity as a power grid requirement; the station area intelligent fusion terminal is used for adjusting the load of the charging station in the target station area and monitoring the load of the charging station in the target station area; the charging station management platform is used for generating user demands according to the charging user orders and the service state information of the charging piles; and the charging station edge control terminal is used for summarizing the received power grid requirements and the user requirements, generating power limitation information of the charging pile and distributing power according to the power limitation information of the charging pile. The invention adopts the charging station edge control terminal as a gathering decision of multi-party demands, the highest power limit of the charging piles in the charging station is comprehensively obtained, and the charging station participates in the real-time demand response of the power grid.
Description
Technical Field
The invention relates to the technical field of load control of an electric vehicle charging station, in particular to a load control system and method for the electric vehicle charging station.
Background
The traffic electrification transition represented by new energy vehicles is rapidly increased, the new energy vehicle reserves in China continuously increase, along with the gradual popularization of electric vehicles and clean energy, under the background that the contradiction between the large power supply randomness and the large power utilization randomness of the rapid increase of charging loads is gradually highlighted when the clean energy proportion is improved, higher requirements are provided for the power supply capacity and the power supply reliability of a multi-section power grid for generation, transmission and distribution and the load regulation capacity of an electric vehicle charging station as a power utilization node, and the electric vehicle charging station is bound to respond to a demand side as a flexible load with large capacity and high load.
At present, an invited day-ahead demand side response regulation strategy is to predict next-day load, so that a prediction target is issued in a targeted manner, and the problem of source load imbalance caused by real-time random load fluctuation and source end fluctuation cannot be solved. Meanwhile, due to the problems of information channels and information safety, a system framework capable of supporting interaction of a power grid and a flexible load is not available.
Disclosure of Invention
The invention aims to provide a load control system and a load control method for an electric vehicle charging station, and solves the technical problem that the existing system cannot meet the user requirements and the charging station operation requirements and simultaneously carry out real-time load control on the charging station.
In one aspect, there is provided a load control system for an electric vehicle charging station, comprising:
the system comprises a power grid dispatching platform, a charging station management platform, a platform area intelligent fusion terminal and a charging station edge control terminal which are connected with one another;
the power grid dispatching platform is used for acquiring power utilization information and line information of a target area, evaluating the load amount to be reduced of a target platform area in the target area according to the power utilization information and the line information, and outputting the load amount to be reduced of the target platform area in the target area as a power grid requirement;
the station area intelligent fusion terminal is used for adjusting the load of the charging station in the target station area according to the received power grid requirement, monitoring the load of the charging station in the target station area and obtaining the adjustment response degree of the charging station under the target station area;
the charging station management platform is used for acquiring a charging user order and service state information of a charging pile in a charging station, and generating a user demand according to the charging user order and the service state information of the charging pile;
and the charging station edge control terminal is used for summarizing the received power grid requirements and the user requirements, generating power limitation information of the charging pile and distributing power according to the power limitation information of the charging pile.
Preferably, the power grid dispatching platform includes:
the main network load analysis module is used for determining the real-time power consumption load of the main network according to the power consumption information and the line information, and comparing the real-time power consumption load of the main network with a set target load to obtain the load amount to be reduced by a certain main network;
the line adjustable capacity evaluation module is used for determining adjustable resources of all lines under the main network according to the electricity utilization information and the line information and aggregating the adjustable resources of all the lines in the adjustable capacity to obtain the real-time adjustable highest load of each line; obtaining the load reduction of each line according to the preset line regulation priority and the real-time adjustable maximum load analysis of each line;
and the load decomposition module is used for decomposing the load reduction amount of each line to obtain the load amount to be reduced by the target station area under the line.
Preferably, the platform zone intelligent convergence terminal includes:
and the real-time evaluation module is used for acquiring the real-time load state of the charging station in the target station area, and comparing the real-time load state of the charging station with the power grid requirement to obtain the regulation and control response degree of the charging station in the target station area.
Preferably, the platform zone intelligent convergence terminal further includes:
and the boundary limiting module is used for setting the distribution transformation load rate of the target station area to obtain the highest load rate allowed under the target station area, taking the highest load rate allowed under the target station area as an input parameter of the autonomy of the target station area, and regulating and controlling the charging station through the input parameter of the autonomy of the target station area when the load amount which is required to be reduced by the target station area is not received.
Preferably, the charging station management platform includes:
and the profit analysis decision module is used for acquiring the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging income, the real-time electricity price and the user intention, performing comprehensive benefit calculation on the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging income, the real-time electricity price and the user intention through a preset calculation rule, and generating the charging station demand according to the calculation result, the received charging user order and the service state information of the charging piles in the charging station.
Preferably, the charging station edge control terminal includes:
and the power distribution arbitration module is used for summarizing the received power grid requirements, the user requirements and the charging station requirements, generating a power limit value of the charging pile, and distributing the power limit quantity according to the actual state of the charging pile and the power limit value.
Preferably, the charging station edge control terminal further includes:
the power limiting execution module is used for judging the type of the power grid demand after receiving the power grid demand, and if the power grid demand is enforced, the load reduction is executed according to the power grid demand after the power distribution arbitration module carries out distribution; and if the power grid demand is not enforced, sending the power grid demand to the profit analysis decision module for benefit analysis to obtain limited participation time and limited participation amount, and performing power limitation distribution according to the limited participation time and the limited participation amount.
In another aspect, a load control method for an electric vehicle charging station is provided, which is implemented by the load control system for an electric vehicle charging station, and includes:
acquiring a charging user order and service state information of a charging pile in a charging station, and generating a user demand according to the charging user order and the service state information of the charging pile;
acquiring power consumption information and line information of a target area, evaluating the load amount to be reduced of a target platform area in the target area according to the power consumption information and the line information, and outputting the load amount to be reduced of the target platform area in the target area as a power grid requirement;
adjusting the load of a charging station in the target platform area according to the received power grid requirement, and monitoring the load of the charging station in the target platform area to obtain the regulation response degree of the charging station in the target platform area;
and summarizing the received power grid requirements and user requirements, generating power limiting information of the charging pile, and distributing power according to the power limiting information of the charging pile.
In summary, the embodiment of the invention has the following beneficial effects:
according to the load control system and method for the electric vehicle charging station, the charging station edge control terminal is used as a summarizing decision of multi-party requirements, the highest power limit of the charging piles in the charging station is comprehensively obtained by considering the operation strategy of the charging station and the charging strategy of a user not only from the requirements of a power grid, and a new architecture and a new flow method are provided for the charging station to participate in real-time power grid requirement response. The platform district intelligent fusion terminal is as the electric wire netting side equipment with flexible load direct interaction, and its marginal calculation function can be compatible with the real-time aassessment of multiple adjustable loads such as charging station, energy storage system, building flexible load, can insert more flexible loads in a flexible way and participate in real-time demand side corresponding. The demand can be cut down according to the major network load, and the demand that will cut down is intellectualized distributes to specific platform district, realizes real-time, intelligent distribution of demand response.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a schematic diagram of a load control system for an electric vehicle charging station according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a load control system for an electric vehicle charging station according to an embodiment of the present invention.
Fig. 3 is a main flow chart illustrating a load control method for an electric vehicle charging station according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 and 2 are schematic diagrams illustrating an embodiment of a load control system for an electric vehicle charging station according to the present invention. In this embodiment, the method includes:
the system comprises a power grid dispatching platform, a charging station management platform, a platform area intelligent fusion terminal and a charging station edge control terminal which are connected with one another; namely, the interaction between the power grid platform and the platform area intelligent fusion terminal, the interaction between the platform area intelligent fusion terminal and the charging station edge control terminal, the interaction between the charging station edge control terminal and the charging pile, the interaction between the charging station edge control terminal and the charging station management platform, and the interaction between the charging station management platform and the charging user perform necessary data acquisition through multi-party interaction.
The power grid dispatching platform is used for acquiring power utilization information and line information of a target area, evaluating the load amount to be reduced of a target platform area in the target area according to the power utilization information and the line information, and outputting the load amount to be reduced of the target platform area in the target area as a power grid requirement.
In a specific embodiment, the power grid dispatching platform includes:
the main network load analysis module is used for determining the real-time power consumption load of the main network according to the power consumption information and the line information, and comparing the real-time power consumption load of the main network with a set target load to obtain the load amount to be reduced by a certain main network; that is, the load amount to be reduced by a certain main network is obtained mainly by analyzing the real-time power load of the main network and the set target load.
The line adjustable capacity evaluation module is used for determining adjustable resources of all lines under the main network according to the electricity utilization information and the line information and aggregating the adjustable resources of all the lines in the adjustable capacity to obtain the real-time adjustable highest load of each line; obtaining the load reduction of each line according to the preset line regulation priority and the real-time adjustable maximum load analysis of each line; namely, the adjustable resources of all lines under a certain main network are evaluated and aggregated to obtain the real-time adjustable highest load of each line, the priority of line regulation is set according to the importance degree of line power supply protection, and the specific load reduction of a certain line is obtained through real-time analysis.
And the load decomposition module is used for decomposing the load reduction amount of each line to obtain the load amount to be reduced by the target station area under the line. That is, the load decomposed to the line is further decomposed to each station area under the line, and the load amount to be reduced by the station area level is obtained.
The station area intelligent fusion terminal is used for adjusting the load of the charging station in the target station area according to the received power grid requirement, monitoring the load of the charging station in the target station area and obtaining the adjustment response degree of the charging station under the target station area; the charging station management system has the advantages that the charging station management system has a data acquisition function, and power grid data, charging pile data and user data are acquired through the charging station edge control terminal and the charging station management platform respectively and are fused into required basic data. Specifically, the platform area intelligent fusion terminal acquires load data of a distribution transformer through an HPLC interface and acquires a demand response target or an execution curve from a power grid platform through a 4G VPN public network; and performing data interaction with the charging station edge control terminal through an Ethernet interface, wherein the interactive data comprises a demand response target curve, a charging station real-time power curve, a demand type and a regulation and control execution state. In the real-time demand response execution process, a real-time demand response regulation target and effect are set and monitored through a regulation real-time evaluation module and a boundary limiting module, the regulation effect is evaluated in real time, and the regulation implementation condition and the effect are fed back to the power grid platform in real time through the platform area intelligent fusion terminal.
In a specific embodiment, the platform zone intelligent convergence terminal includes:
and the real-time evaluation module is a software module arranged in the intelligent fusion terminal of the transformer area and is used for acquiring the real-time load state of the charging station in the target transformer area, and comparing the real-time load state of the charging station with the power grid requirement to obtain the regulation and control response degree of the charging station in the target transformer area. Namely, the regulation response degree of the charging station under the station area is obtained by monitoring and comparing the load reduction target and the actual load response effect.
And the boundary limiting module is a software module arranged in the intelligent integration terminal of the station area and used for setting the distribution transformation load rate of the target station area to obtain the highest load rate allowed under the target station area, the highest load rate allowed under the target station area is used as the input parameter of the autonomy of the target station area, and when the load amount to be reduced by the target station area is not received, the charging station is regulated and controlled through the input parameter of the autonomy of the target station area. That is, the highest load rate allowed under the distribution area is obtained by setting the distribution and transformation load rate of the distribution area, and is used as an input parameter of the distribution area autonomy, and when no demand response task exists, the regulation and control demand of the charging station is issued through the intelligent integration terminal of the distribution area.
The charging station management platform is used for acquiring a charging user order and service state information of a charging pile in a charging station, and generating a user demand according to the charging user order and the service state information of the charging pile; that is, the charging station management platform performs data information interaction with the user through a webpage or app service, and the interaction content includes user charging requirements, charging pile selection, whether power regulation is performed or not, regulation subsidy, charging targets and charging duration requirements.
In a specific embodiment, the charging station management platform includes:
and the profit analysis decision module is used for acquiring the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging income, the real-time electricity price and the user intention, performing comprehensive benefit calculation on the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging income, the real-time electricity price and the user intention through a preset calculation rule, and generating the charging station demand according to the calculation result, the received charging user order and the service state information of the charging piles in the charging station. That is, for the software module deployed in the charging station management platform, the revenue analysis module in the charging station management platform is utilized to perform comprehensive benefit calculation on the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging revenue, the real-time electricity price and the user intention, and determine whether the charging station participates in the real-time demand response of the power grid and the participation power reduction.
And the charging station edge control terminal is used for summarizing the received power grid requirements and the user requirements, generating power limitation information of the charging pile and distributing power according to the power limitation information of the charging pile. That is, the charging station edge control terminal carries out data interaction with the charging pile through the bus, and the interaction data comprises rated power, real-time power, use state, fault state, cost information and a charging pile power limit curve of the charging pile.
In a specific embodiment, the charging station edge control terminal includes:
and the power distribution arbitration module is used for summarizing the received power grid requirements, the user requirements and the charging station requirements, generating a power limit value of the charging pile, and distributing the power limit quantity according to the actual state of the charging pile and the power limit value. That is, for a software module deployed in a charging station edge control terminal, the main functions are summarizing power grid peak clipping requirements, user charging requirements and charging station operation management requirements, the charging station edge control terminal performs summarizing decision on multiple requirements, generates power limitation of a charging pile and distributes intelligent power limitation amount according to the actual state of the charging pile, the distribution mode is that the highest acceptable charging power is configured for a user, the longest acceptable charging duration is configured for the user, and the user configures the charging target SOC; the charging station management platform configures a user to participate in adjusting subsidy prices, configuring time periods in which the charging station can be regulated and controlled and configuring charging pile priorities in which the charging station can be regulated and controlled; and finally, comprehensively analyzing the user requirements, the charging station requirements and the power grid requirements to obtain the maximum charging power limit of all charging piles under the charging station.
The power limiting execution module is used for judging the type of the power grid demand after receiving the power grid demand, and if the power grid demand is enforced, the load reduction is executed according to the power grid demand after the power distribution arbitration module carries out distribution; and if the power grid demand is not enforced, sending the power grid demand to the profit analysis decision module for benefit analysis to obtain limited participation time and limited participation amount, and performing power limitation distribution according to the limited participation time and the limited participation amount. That is, for the software module deployed in the charging station edge control terminal, after receiving the power grid demand response information, the charging station edge control terminal determines the demand type, and if the demand type is the mandatory execution, the power limitation execution module jumps to the power distribution arbitration module to directly perform the distribution, and then returns to the power limitation execution module to execute; if the power limit execution module is not the mandatory execution module, the power limit execution module sends the invitation information to a profit analysis decision module in the charging station management platform for benefit analysis to obtain specific participation time and participation response quantity, and then sends the overall target to a charging station edge control terminal for power limit distribution; after distribution is completed, the charging pile real-time power execution module issues a switching command and a regulating command for the charging piles in the station, and receives real-time feedback controlled information including power before regulation, regulated power and real-time power of the charging piles.
Fig. 3 is a schematic diagram illustrating an embodiment of a load control method for an electric vehicle charging station according to the present invention. In this embodiment, the following steps are included:
acquiring a charging user order and service state information of a charging pile in a charging station, and generating a user demand according to the charging user order and the service state information of the charging pile;
acquiring power consumption information and line information of a target area, evaluating the load amount to be reduced of a target platform area in the target area according to the power consumption information and the line information, and outputting the load amount to be reduced of the target platform area in the target area as a power grid requirement;
adjusting the load of a charging station in the target platform area according to the received power grid requirement, and monitoring the load of the charging station in the target platform area to obtain the regulation response degree of the charging station in the target platform area;
and summarizing the received power grid requirements and user requirements, generating power limiting information of the charging pile, and distributing power according to the power limiting information of the charging pile.
With regard to the implementation process of the load control method for the electric vehicle charging station, reference may be made to the above-mentioned specific process of the load control system for the electric vehicle charging station, which is not described herein again.
In summary, the embodiment of the invention has the following beneficial effects:
according to the load control system and method for the electric vehicle charging station, the charging station edge control terminal is used as a summarizing decision of multi-party requirements, the highest power limit of the charging piles in the charging station is comprehensively obtained by considering the operation strategy of the charging station and the charging strategy of a user not only from the requirements of a power grid, and a new architecture and a new flow method are provided for the charging station to participate in real-time power grid requirement response. The platform district intelligent fusion terminal is as the electric wire netting side equipment with flexible load direct interaction, and its marginal calculation function can be compatible with the real-time aassessment of multiple adjustable loads such as charging station, energy storage system, building flexible load, can insert more flexible loads in a flexible way and participate in real-time demand side corresponding. The demand can be cut down according to the major network load, and the demand that will cut down is intellectualized distributes to specific platform district, realizes real-time, intelligent distribution of demand response.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (8)
1. A load control system for an electric vehicle charging station, comprising: the system comprises a power grid dispatching platform, a charging station management platform, a platform area intelligent fusion terminal and a charging station edge control terminal which are connected with one another;
the power grid dispatching platform is used for acquiring power utilization information and line information of a target area, evaluating the load amount to be reduced of a target platform area in the target area according to the power utilization information and the line information, and outputting the load amount to be reduced of the target platform area in the target area as a power grid requirement;
the station area intelligent fusion terminal is used for adjusting the load of the charging station in the target station area according to the received power grid requirement, monitoring the load of the charging station in the target station area and obtaining the adjustment response degree of the charging station under the target station area;
the charging station management platform is used for acquiring a charging user order and service state information of a charging pile in a charging station, and generating a user demand according to the charging user order and the service state information of the charging pile;
and the charging station edge control terminal is used for summarizing the received power grid requirements and the user requirements, generating power limitation information of the charging pile and distributing power according to the power limitation information of the charging pile.
2. The system of claim 1, wherein the grid dispatch platform comprises:
the main network load analysis module is used for determining the real-time power consumption load of the main network according to the power consumption information and the line information, and comparing the real-time power consumption load of the main network with a set target load to obtain the load amount to be reduced by a certain main network;
the line adjustable capacity evaluation module is used for determining adjustable resources of all lines under the main network according to the electricity utilization information and the line information and aggregating the adjustable resources of all the lines in the adjustable capacity to obtain the real-time adjustable highest load of each line; obtaining the load reduction of each line according to the preset line regulation priority and the real-time adjustable maximum load analysis of each line;
and the load decomposition module is used for decomposing the load reduction amount of each line to obtain the load amount to be reduced by the target station area under the line.
3. The system of claim 2, wherein the platform intelligent convergence terminal comprises:
and the real-time evaluation module is used for acquiring the real-time load state of the charging station in the target station area, and comparing the real-time load state of the charging station with the power grid requirement to obtain the regulation and control response degree of the charging station in the target station area.
4. The system of claim 3, wherein the platform intelligent convergence terminal further comprises:
and the boundary limiting module is used for setting the distribution transformation load rate of the target station area to obtain the highest load rate allowed under the target station area, taking the highest load rate allowed under the target station area as an input parameter of the autonomy of the target station area, and regulating and controlling the charging station through the input parameter of the autonomy of the target station area when the load amount which is required to be reduced by the target station area is not received.
5. The system of claim 4, wherein the charging station management platform comprises:
and the profit analysis decision module is used for acquiring the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging income, the real-time electricity price and the user intention, performing comprehensive benefit calculation on the peak clipping subsidy, the peak clipping loss electric quantity, the loss charging income, the real-time electricity price and the user intention through a preset calculation rule, and generating the charging station demand according to the calculation result, the received charging user order and the service state information of the charging piles in the charging station.
6. The system of claim 5, wherein the charging station edge control terminal comprises:
and the power distribution arbitration module is used for summarizing the received power grid requirements, the user requirements and the charging station requirements, generating a power limit value of the charging pile, and distributing the power limit quantity according to the actual state of the charging pile and the power limit value.
7. The system of claim 6, wherein the charging station edge control terminal further comprises:
the power limiting execution module is used for judging the type of the power grid demand after receiving the power grid demand, and if the power grid demand is enforced, the load reduction is executed according to the power grid demand after the power distribution arbitration module carries out distribution; and if the power grid demand is not enforced, sending the power grid demand to the profit analysis decision module for benefit analysis to obtain limited participation time and limited participation amount, and performing power limitation distribution according to the limited participation time and the limited participation amount.
8. A load control method for an electric vehicle charging station, to be implemented by the system of any one of claims 1 to 7, comprising:
acquiring a charging user order and service state information of a charging pile in a charging station, and generating a user demand according to the charging user order and the service state information of the charging pile;
acquiring power consumption information and line information of a target area, evaluating the load amount to be reduced of a target platform area in the target area according to the power consumption information and the line information, and outputting the load amount to be reduced of the target platform area in the target area as a power grid requirement;
adjusting the load of a charging station in the target platform area according to the received power grid requirement, and monitoring the load of the charging station in the target platform area to obtain the regulation response degree of the charging station in the target platform area;
and summarizing the received power grid requirements and user requirements, generating power limiting information of the charging pile, and distributing power according to the power limiting information of the charging pile.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN115459286A (en) * | 2022-09-29 | 2022-12-09 | 湖南工程学院 | Intelligent charging/discharging microgrid system based on cell level and control method |
| CN115837855A (en) * | 2023-02-15 | 2023-03-24 | 南方电网产业投资集团有限责任公司 | Charging pile output power control method and device, charging pile and storage medium |
| CN116316759A (en) * | 2023-03-23 | 2023-06-23 | 山东亿联数字能源科技有限公司 | Charging operation management system based on cloud platform and demand side response control method thereof |
| CN116923168A (en) * | 2023-06-21 | 2023-10-24 | 上海旋荣科技股份有限公司 | Charging pile electric energy dispatching system and dispatching method based on transformer substation networking |
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| CN117901703A (en) * | 2024-03-19 | 2024-04-19 | 北京智芯微电子科技有限公司 | Charging load regulation and control method and device and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115459286A (en) * | 2022-09-29 | 2022-12-09 | 湖南工程学院 | Intelligent charging/discharging microgrid system based on cell level and control method |
| CN115459286B (en) * | 2022-09-29 | 2023-06-02 | 湖南工程学院 | Intelligent charging/discharging micro-grid system based on cell level and control method |
| CN115431811A (en) * | 2022-11-08 | 2022-12-06 | 国网江苏省电力有限公司营销服务中心 | Electric vehicle ordered charging control system and method based on power grid data acquisition network |
| CN115837855A (en) * | 2023-02-15 | 2023-03-24 | 南方电网产业投资集团有限责任公司 | Charging pile output power control method and device, charging pile and storage medium |
| CN116316759A (en) * | 2023-03-23 | 2023-06-23 | 山东亿联数字能源科技有限公司 | Charging operation management system based on cloud platform and demand side response control method thereof |
| CN116923168A (en) * | 2023-06-21 | 2023-10-24 | 上海旋荣科技股份有限公司 | Charging pile electric energy dispatching system and dispatching method based on transformer substation networking |
| CN116923168B (en) * | 2023-06-21 | 2024-04-26 | 上海旋荣科技股份有限公司 | Charging pile electric energy dispatching system and dispatching method based on transformer substation networking |
| CN117458487A (en) * | 2023-12-25 | 2024-01-26 | 北京煦联得节能科技股份有限公司 | Intelligent variable-frequency charging pile regulation and control method and system based on flexible electricity utilization |
| CN117458487B (en) * | 2023-12-25 | 2024-03-15 | 北京煦联得节能科技股份有限公司 | Intelligent variable-frequency charging pile regulation and control method and system based on flexible electricity utilization |
| CN117901703A (en) * | 2024-03-19 | 2024-04-19 | 北京智芯微电子科技有限公司 | Charging load regulation and control method and device and electronic equipment |
| CN117901703B (en) * | 2024-03-19 | 2024-05-28 | 北京智芯微电子科技有限公司 | Charging load regulation and control method and device and electronic equipment |
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