Energy storage station charging demand control method and system and electronic equipment

Abstract

The invention relates to the technical field of charging demand control, in particular to an energy storage station charging demand control method and system and electronic equipment. According to the method, the charging requirement is determined through judgment of the EMS issuing power P5, then the chargeable power P1 of a single edge controller is dynamically calculated based on constraint conditions such as the transformer capacity and the demand limiting value, power distribution is carried out through the maximum safety threshold P8 of the transformer, and finally the equipment bearing capacity and the EMS strategy are comprehensively considered to obtain the optimal charging power P12; the invention provides a weight-based multi-edge controller power distribution mechanism, and solves the problem of insufficient control precision in a traditional method. Meanwhile, by introducing a return difference parameter P7, control oscillation is effectively avoided, and the system stability is remarkably improved; and fair charging among different scales of energy storage units is realized through an N1 / N proportional distribution mechanism.

Description

Technical Field

[0001] The present application relates to the technical field of charging demand control, and in particular to a method, system and electronic equipment for charging demand control of an energy storage site. Background Art

[0002] With the deepening of energy transformation and carbon neutrality strategies, industrial and commercial energy storage systems play an important role in power demand response and peak-valley arbitrage. Industrial and commercial energy storage systems can effectively reduce corporate electricity costs, improve grid operation efficiency, and promote the consumption of new energy by rationally dispatching charging and discharging power.

[0003] At present, industrial and commercial energy storage systems generally use automated control devices for charge and discharge management. These control devices collect real-time data and execute corresponding control instructions based on preset control strategies to achieve automated operation of energy storage systems.

[0004] However, the charging demand control of existing control equipment cannot accurately calculate and allocate the charging power of each control unit, which can easily cause the charging power to exceed the site demand limit, causing problems such as excessive demand and increased electricity bills; and when multiple controllers are running together, there is a lack of an effective power coordination mechanism, which needs to be further improved. Summary of the invention

[0005] In order to solve the problem that the existing control device charging demand control cannot accurately calculate and allocate the charging power of each control unit, which easily causes the charging power to exceed the site demand limit, the present application provides a method, system and electronic device for energy storage site charging demand control, which adopts the following technical solutions: In a first aspect, the present application provides a method for controlling charging demand of an energy storage site, comprising the following steps: Obtain the power P5 sent by the EMS under the single edge controller, determine whether the power P5 sent by the EMS is greater than 0, and obtain a charging control instruction; Calculate the rechargeable power P1 within the demand of a single edge controller, P1=(P6-(P3*N1 / N-P4)-P7), where P6 is the weight under the single transformer multi-edge controller, P3 is the active power of the gateway meter, P4 is the real-time charging power sum of the converter under the single edge controller, P7 is the hysteresis of the single edge controller, N1 is the number of converters under the single edge controller, and N is the total number of converters under the metering point; According to the maximum safety threshold of the transformer, the maximum chargeable power P9 of a single edge controller is calculated, where P9=(P8*N1 / N)-(P3*N1 / N-P4)-P7, and P8 is the transformer tripping safety threshold; The maximum charging power P12 that the computing device can withstand under the EMS strategy, where P12 = Min (P9, P5, P6); Charging control is performed based on the rechargeable power P1 within the demand of a single edge controller, the maximum rechargeable power P9 of a single edge controller, and the maximum rechargeable power P12 that the device can withstand under the EMS strategy.

[0006] By adopting the above technical solution, in order to solve the problems of excessive demand, transformer overload and policy conflicts between different control levels that may occur in the charging process of energy storage power stations, this application first determines the charging demand by judging the power P5 sent by the EMS, and then dynamically calculates the rechargeable power P1 of a single edge controller based on constraints such as transformer capacity and demand limit, and distributes power through the maximum safety threshold P8 of the transformer. Finally, considering the equipment's tolerance and EMS strategy, the optimal charging power P12 is obtained; this application proposes a weight-based multi-edge controller power allocation mechanism to solve the problem of insufficient control accuracy in traditional methods; at the same time, by introducing the hysteresis parameter P7, control oscillation is effectively avoided and system stability is significantly improved; through the N1 / N ratio allocation mechanism, fair charging between energy storage units of different sizes is achieved.

[0007] Optionally, the method further comprises the following steps: Calculate the rechargeable power and P15 within the demand of each single edge controller, where P15=P1[1]+P1[2]+...+P1[n], where n is the number of controllers; Determine whether there is a metering point; If so, based on the rechargeable power within the demand of each single edge controller and P15, calculate the rechargeable power P24 of the metering point, where P24=P22-{P25-(P4[1]+P4[2]+...+P4[n])}-(P7[1]+P7[2]+...+P7[n]), where P22 is the demand target value, P25 is the total power consumption, P4[n] is the real-time charging power of the nth edge controller, and P7[n] is the hysteresis of the nth edge controller; The multiple edge controllers are cooperatively charged and controlled according to the chargeable power P24 at the metering point.

[0008] By adopting the above technical scheme, in order to solve the problems of uneven charging power distribution, difficult to accurately control demand targets and delayed system response in the collaborative operation of multiple edge controllers; this application incorporates the hysteresis parameters of multiple controllers into the global calculation for the first time, effectively solving the problem of decreased control accuracy due to hysteresis accumulation in traditional methods; at the same time, through the dynamic calculation mechanism of P24, real-time adjustment of the overall charging behavior of the system is realized, ensuring the accuracy of demand control and the stability of system operation; not only balanced charging among multiple controllers is achieved, but also the response speed and control accuracy of the system are significantly improved.

[0009] Optionally, the method further comprises the following steps: Determine whether P24 is less than P15, If so, P15' is set to P24, where P15' is the sum of the rechargeable powers within the demand of each single edge controller after calibration.

[0010] By adopting the above technical solution, when the present application detects that P24 is greater than P15, the system will directly set P15' to the value of P24, thereby achieving a real-time balance between the system charging capacity and the demand control requirements; this not only improves the charging efficiency of the energy storage system, but also ensures the accuracy of demand control.

[0011] Optionally, the method further comprises the following steps: Determine whether P21 is less than 0, where P21 is the difference between the metering point demand P22 and the rechargeable power within the demand and P15; If so, then P15'=P15+P21.

[0012] By adopting the above technical solution, when P21 is less than 0, the system automatically reduces the charging power by calculating P15'=P15+P21.

[0013] Optionally, the method further comprises the following steps: Determine whether P15' is greater than P17, where P17 is the maximum charging power that each single edge controller can withstand under the device and system strategy, P17=P12[1]+P12[2]+...+P12[n], where P12[n] is the maximum charging power that the nth edge controller can withstand under the device and EMS strategy; If so, in this single-edge controller, the first final adjustable power P23 is set to P12; If P15' is not greater than P17, determine whether P15' is less than 0; If yes, then in this single-edge controller, the second final adjustable power P23' is set to 0; If P15' is not less than 0, then determine whether P1 is less than 0; If so, in this single-edge controller, the third final adjustable power P23'' is set to 0.

[0014] By adopting the above technical solution, the present application limits the final adjustable power P23 within the safety range of the equipment in the case of power overlimit by comparing the size relationship between P15' and P17; when P15' is not greater than the equipment's bearing capacity P17 and is a negative value, the system automatically sets P23' to 0; when P1 is a negative value, the system further sets P23'' to 0, thereby achieving all-round power protection; through logical judgment and multi-level protection measures, not only the safe and stable operation of the system is ensured, but also the reliability and robustness of the control system are improved.

[0015] Optionally, the method further comprises the following steps: If P1 is not less than 0, determine whether P1 is less than P12; If so, in this single edge controller, the fourth final adjustable power P23'''= (P12*P15') / (P20+P19), where P20 is the non-shared power this time, and P19 is the other power except the shared power this time; If P1 is not less than P12, then in this single-edge controller, the fifth final adjustable power is P23''''= (P1*P15') / (P20+P19).

[0016] By adopting the above technical solution, the present application uses a preset formula, and the system can automatically select the optimal power allocation strategy according to the real-time operating status; introduce historical data into the power allocation calculation, which solves the problem of poor power allocation stability in traditional methods; by considering the cumulative effect of non-shared power, more reasonable resource scheduling is achieved, and the balance and stability of power allocation are improved.

[0017] Optionally, the calculation process of other powers except the shared power includes the following steps: For each single edge controller, determine the relationship between the required charging power P1[n] and the maximum charging power P12[n] that the device can withstand under the EMS strategy; If P1[n] is greater than P12[n], select an array satisfying P1[n]>P12[n] from each single-edge controller, and calculate the current shared power and the other power P19 except the shared power under the single-edge controller respectively; P18=P18'+{(P1[1]+P1[2]+...+P1[n])-(P12[1]+P12[2]+...+P12[n])}, P18' is the last shared power under the single-edge controller, P19=P19'+(P12[1]+P12[2]+...+P12[n]), P19' is the other power except the last shared power.

[0018] Optionally, the calculation process of the non-shared power includes the following steps: If P1[n] is less than P12[n], then further determine whether P1[n] is greater than 0; if P1[n] is greater than 0, then select an array from each single edge controller that satisfies P1[n]<=P12[n] and P1[n]>0; And calculate the corresponding non-shared power P20 of this time, P20=P20'+(P1[1]+P1[2]+...+P1[n]), where P20' is the non-shared power of the previous time.

[0019] In a second aspect, the present application provides a storage site charging demand control system, which is applied to the above-mentioned storage site charging demand control method, and the system includes: EMS, used for issuing policies and data and displaying data; An application for executing a safety strategy for charging demand control; A message queue telemetry transmission client, used for data communication with the EMS; Historical database, used to store historical operation data; A real-time database, used to store real-time operation data, wherein the real-time database is connected to the historical database; A framework library file, used to connect the real-time database and the application program, and to connect with an interface device; A collection program, used for collecting data and writing the data into the real-time database; The acquisition program is connected to a bidirectional converter module, a battery management system secondary module, a gateway table module and a network port table module for collecting data.

[0020] In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned energy storage site charging demand control method when executing the computer program.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application first determines the charging demand by judging the power P5 sent by EMS, and then dynamically calculates the rechargeable power P1 of a single edge controller based on constraints such as transformer capacity and demand limit, and distributes power through the transformer maximum safety threshold P8. Finally, considering the equipment tolerance and EMS strategy, the optimal charging power P12 is obtained; this application proposes a weight-based multi-edge controller power allocation mechanism to solve the problem of insufficient control accuracy in traditional methods; at the same time, by introducing the hysteresis parameter P7, control oscillation is effectively avoided and system stability is significantly improved; through the N1 / N ratio allocation mechanism, fair charging between energy storage units of different sizes is achieved; 2. In order to solve the problems of uneven charging power distribution, difficult to accurately control demand targets and delayed system response in the collaborative operation of multiple edge controllers; this application incorporates the hysteresis parameters of multiple controllers into the global calculation for the first time, effectively solving the problem of decreased control accuracy due to hysteresis accumulation in traditional methods; at the same time, through the dynamic calculation mechanism of P24, real-time adjustment of the overall charging behavior of the system is achieved, ensuring the accuracy of demand control and the stability of system operation; not only balanced charging between multiple controllers is achieved, but also the response speed and control accuracy of the system are significantly improved; 3. Through preset formulas, the system can automatically select the optimal power allocation strategy according to the real-time operating status; historical data is introduced into the power allocation calculation to solve the problem of poor power allocation stability in traditional methods; by considering the cumulative effect of non-shared power, more reasonable resource scheduling is achieved, and the balance and stability of power allocation are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a module schematic diagram of a charging demand control system of an energy storage site according to an embodiment of the present application; Figure 2 This is a schematic diagram of a method for controlling charging demand of an energy storage station according to an embodiment of the present application. Figure 1 ; Figure 3 This is a schematic diagram of a method for controlling charging demand of an energy storage station according to an embodiment of the present application. Figure 2 ; Figure 4 This is a schematic diagram of a method for controlling charging demand of an energy storage station according to an embodiment of the present application. Figure 3 ; Figure 5 This is a schematic diagram of a method for controlling charging demand of an energy storage station according to an embodiment of the present application. Figure 4 ; Figure 6 This is a schematic diagram of a method for controlling charging demand of an energy storage station according to an embodiment of the present application. Figure 5 ; Figure 7 It is an internal structure diagram of an electronic device according to an embodiment of the present application; Fig. 8A This is a schematic diagram of the structure of an edge controller in an embodiment of the present application. Figure 1 ; Figure 8B This is a schematic diagram of the structure of an edge controller in an embodiment of the present application. Figure 2 . DETAILED DESCRIPTION

[0023] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0024] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0025] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0026] In the first aspect, the present application provides a method for controlling charging demand of an energy storage site, which is applied to a charging demand control system of an energy storage site, referring to Figure 1 The system includes an EMS cloud platform, an application, a message queue telemetry transmission client MQTT, a historical database, a real-time database, a framework library file and a collection program, wherein the EMS is used to perform overall control of charging demand; the application is used to execute the security policy of charging demand control; the message queue telemetry transmission client is used for data communication with the EMS; the historical database is used to store historical operation data; the real-time database is used to store real-time operation data, and the real-time database is connected to the historical database; the framework library file is used to connect the real-time database and the application, and is connected to the interface device to provide interface files for various applications of the system for unified scheduling; the collection program is used to collect data and write the data into the real-time database; the collection program is connected with a bidirectional converter module, a battery management system secondary module, a gateway table module and a network port table module for collecting data.

[0027] Specifically, the acquisition program reads the real-time power of the gateway table into the real-time database. After the application obtains the latest power of the gateway table from the real-time database, it will calculate the latest power that needs to be adjusted based on the setting value of the excess demand, and then write it to the PCS through the acquisition program to execute the latest adjusted power, forming the first demand power control cycle. In the future, this demand power control cycle will be repeated to continuously execute site demand control to ensure that the device does not exceed the site demand when charging.

[0028] Reference Figure 2 , including the following steps: S210, EMS sends power P5.

[0029] S220: Determine whether the EMS sending power P5 is greater than 0.

[0030] According to the result of judging that P5>0, a charging control instruction is obtained. When P5>0, step S230 is executed, charging; otherwise, step S240 is executed, no charging or discharging.

[0031] S250, calculate the rechargeable power P1 within the demand of a single edge controller, P1=(P6-(P3*N1 / N-P4)-P7).

[0032] Among them, P6 is the weight under the single transformer multi-edge controller, P3 is the active power of the gateway meter, P4 is the real-time charging power sum of the converter under the single edge controller, P7 is the hysteresis of the single edge controller, N1 is the number of converters under the single edge controller, and N is the total number of converters under the metering point.

[0033] S260, calculate the maximum chargeable power P9 of the single edge controller under the transformer safety threshold, P9=(P8*N1 / N)-(P3*N1 / N-P4)-P7.

[0034] Among them, the allocation is made according to the maximum safety threshold of the transformer, and P8 is the transformer tripping safety threshold; S270, calculating the maximum charging power P12 that the device can withstand under the EMS strategy, where P12=Min(P9,P5,P6); Then, the system performs charging control based on the rechargeable power P1 within the demand of a single edge controller, the maximum rechargeable power P9 of a single edge controller, and the maximum rechargeable power P12 that the device can withstand under the EMS strategy.

[0035] In one embodiment, referring to Figure 3 , the method further comprises the steps of: S310, in the joint debugging of multiple edge controllers, the sum of the rechargeable power required by each single edge controller and P15 are calculated, where P15=P1[1]+P1[2]+...+P1[n].

[0036] Where n is the number of controllers.

[0037] S320: Determine whether there is a metering point.

[0038] If yes, then execute step S320, in the joint debugging of the multi-edge controller, calculate the chargeable power P24 of the metering point.

[0039] Among them, based on the rechargeable power within the demand of each single edge controller and P15, the rechargeable power P24 of the metering point is calculated, P24=P22-{P25-(P4[1]+P4[2]+...+P4[n])}-(P7[1]+P7[2]+...+P7[n]). P22 is the demand target value, P25 is the total power consumption, P4[n] is the real-time charging power of the nth edge controller, and P7[n] is the hysteresis of the nth edge controller.

[0040] Then, the system performs coordinated charging control on multiple edge controllers according to the chargeable power P24 at the metering point.

[0041] In one embodiment, referring to Figure 4 , the method comprises the following steps: S410, determine whether P24 is less than P15, If yes, then execute step S420, in the joint debugging of the multi-edge controllers, calibrate the rechargeable power within the demand of each single edge controller and P15'=P24.

[0042] Wherein, P15' is set to P24, and P15' is the sum of the rechargeable powers within the demand of each single edge controller after calibration.

[0043] In one embodiment, referring to Figure 5 , the method further comprises the steps of: S510: Determine whether P21 is less than 0.

[0044] Wherein, P21 is the difference between the metering point demand P22 and the rechargeable power within the demand and P15; If yes, then execute step S520, in the joint debugging of the multi-edge controllers, calibrate the sum of the rechargeable power within the demand of each single edge controller P15'=P15+P21.

[0045] In one embodiment, referring to Figure 6 , the method further comprises the steps of: S610, determine whether P15' is greater than P17.

[0046] Among them, P17 is the maximum charging power that each single edge controller can bear under the device and system strategy. P17=P12[1]+P12[2]+...+P12[n], P12[n] is the maximum charging power that the nth edge controller can bear under the device and EMS strategy; If yes, then step S620 is performed to calculate the first final adjustable power P23=P12 in the single edge controller.

[0047] If P15' is not greater than P17, then execute step S630 to determine whether P15' is less than 0; If yes, then step S640, calculate the second final adjustable power P23'=0 in the single edge controller; If P15' is not less than 0, execute step S650 to determine whether P1 is less than 0; If yes, then step S660 is performed to calculate the final adjustable power P23″=0 for the third time in the single edge controller.

[0048] If P1 is not less than 0, execute step S670 to determine whether P1 is less than P12; If yes, then step S680, calculate the fourth final adjustable power P23'''=(P12*P15') / (P20+P19) in this single edge controller, where P20 is the non-shared power this time, and P19 is the other power except the shared power this time; If P1 is not less than P12, then in step S690, calculate the fifth final adjustable power P23''''=(P1*P15') / (P20+P19) in the single edge controller.

[0049] The calculation process of the power other than the shared power includes the following steps: for each single edge controller, respectively determine the relationship between the chargeable power P1[n] within the demand and the maximum charging power P12[n] that the device can bear under the EMS strategy; if P1[n] is greater than P12[n], select an array satisfying P1[n]>P12[n] from each single edge controller, and respectively calculate the shared power P18=P18'+{(P1[1]+P1[2]+...+P1[n])-(P12[1]+P12[2]+...+P12[n])} of the single edge controller, where P18' is the last shared power of the single edge controller, and the power other than the shared power P19=P19'+(P12[1]+P12[2]+...+P12[n]), where P19' is the power other than the shared power last time. If P1[n] is less than P12[n], then further determine whether P1[n] is greater than 0; if P1[n] is greater than 0, then select an array from each single edge controller that satisfies P1[n]<=P12[n] and P1[n]>0, and calculate the corresponding current non-shared power P20. The calculation process of this non-shared power includes the following steps: if P1[n] is greater than 0, then select an array from each single edge controller that satisfies P1[n]<=P12[n] and P1[n]>0; calculate the current non-shared power P20=P20'+(P1[1]+P1[2]+...+P1[n]) of the single edge controller respectively, where P20' is the previous non-shared power.

[0050] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0051] In a second aspect, the present application provides an energy storage site charging demand control system. The energy storage site charging demand control system of the present application is described below in conjunction with the above-mentioned energy storage site charging demand control method.

[0052] A charging demand control system for an energy storage site, applied to the above-mentioned charging demand control method for an energy storage site, referring to Figure 1 , the system comprising: EMS, used for issuing policies and data and displaying data; An application for executing a safety strategy for charging demand control; A message queue telemetry transmission client, used for data communication with the EMS; Historical database, used to store historical operation data; A real-time database, used to store real-time operation data, wherein the real-time database is connected to the historical database; A framework library file, used to connect the real-time database and the application program, and to connect with an interface device; A collection program, used for collecting data and writing the data into the real-time database; The acquisition program is connected to a bidirectional converter module, a battery management system secondary module, a gateway table module and a network port table module for collecting data.

[0053] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a charging demand control method for an energy storage site is implemented.

[0054] Those skilled in the art will understand that Figure 7 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0055] In this embodiment, Fig. 8A and Figure 8BAs shown in the figure, the core parts of the energy storage equipment include battery cells, PCS, BMS level 1 and level 2, etc. The electronic device for local demand control is the edge controller (BAU). The edge controller (BAU) controls the demand in the following way: the edge controller (BAU) is connected to the 485-to-Ethernet device via Ethernet. The 485-to-Ethernet device converts the 485 signal of the gateway meter into an Ethernet signal and gives it to the edge controller (BAU). When it is found that the power of the gateway meter (installed under the transformer) is too large and exceeds the demand, the edge controller will calculate the adjusted charging power based on this power, write the adjusted charging power into the PCS through 485 communication, and the PCS executes the new power to control the demand not to exceed the site limit. Note that when multiple edge controllers and multiple gateway tables are used in conjunction, the edge controllers need to be connected via Ethernet through a switch. The 485 communication of the gateway table should be given to a 485-to-Ethernet device as a whole, and each edge controller (BAU) can only connect to one PCS per 485 port. Because the principle of demand control is to occur first and then adjust, this communication wiring method is used in conjunction with the independent thread method of the edge controller software to collect each PCS, which can shorten the time interval from occurrence to adjustment.

[0056] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0057] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0058] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling charging demand of an energy storage site, characterized in that: The steps include: Obtain the power P5 sent by the EMS under the single edge controller, determine whether the power P5 sent by the EMS is greater than 0, and obtain a charging control instruction; Calculate the rechargeable power P1 within the demand of a single edge controller, P1=(P6-(P3*N1 / N-P4)-P7), where P6 is the weight under the single transformer multi-edge controller, P3 is the active power of the gateway meter, P4 is the real-time charging power sum of the converter under the single edge controller, P7 is the hysteresis of the single edge controller, N1 is the number of converters under the single edge controller, and N is the total number of converters under the metering point; According to the maximum safety threshold of the transformer, the maximum chargeable power P9 of a single edge controller is calculated, where P9=(P8*N1 / N)-(P3*N1 / N-P4)-P7, and P8 is the transformer tripping safety threshold; The maximum charging power P12 that the computing device can withstand under the EMS strategy, where P12 = Min (P9, P5, P6); Charging control is performed based on the rechargeable power P1 within the demand of a single edge controller, the maximum rechargeable power P9 of a single edge controller, and the maximum rechargeable power P12 that the device can withstand under the EMS strategy.

2. The energy storage site charging demand control method according to claim 1, characterized in that: The method further comprises the steps of: Calculate the rechargeable power and P15 within the demand of each single edge controller, where P15=P1[1]+P1[2]+...+P1[n], where n is the number of controllers; Determine whether there is a metering point; If so, based on the rechargeable power within the demand of each single edge controller and P15, calculate the rechargeable power P24 of the metering point, where P24=P22-{P25-(P4[1]+P4[2]+...+P4[n])}-(P7[1]+P7[2]+...+P7[n]), where P22 is the demand target value, P25 is the total power consumption, P4[n] is the real-time charging power of the nth edge controller, and P7[n] is the hysteresis of the nth edge controller; The multiple edge controllers are cooperatively charged and controlled according to the chargeable power P24 at the metering point.

3. The energy storage site charging demand control method according to claim 2, characterized in that: The method further comprises the steps of: Determine whether P24 is less than P15, If so, P15' is set to P24, where P15' is the sum of the rechargeable powers within the demand of each single edge controller after calibration.

4. The energy storage site charging demand control method according to claim 3, characterized in that: The method further comprises the steps of: Determine whether P21 is less than 0, where P21 is the difference between the metering point demand P22 and the rechargeable power within the demand and P15; If so, then P15'=P15+P21.

5. The energy storage site charging demand control method according to claim 4, characterized in that: The method further comprises the steps of: Determine whether P15' is greater than P17, where P17 is the maximum charging power that each single edge controller can withstand under the device and system strategy, P17=P12[1]+P12[2]+...+P12[n], where P12[n] is the maximum charging power that the nth edge controller can withstand under the device and EMS strategy; If so, in this single-edge controller, the first final adjustable power P23 is set to P12; If P15' is not greater than P17, determine whether P15' is less than 0; If yes, then in this single-edge controller, the second final adjustable power P23' is set to 0; If P15' is not less than 0, then determine whether P1 is less than 0; If so, in this single-edge controller, the third final adjustable power P23'' is set to 0.

6. The energy storage site charging demand control method according to claim 5, characterized in that: The method further comprises the following steps: If P1 is not less than 0, determine whether P1 is less than P12; If so, in this single edge controller, the fourth final adjustable power P23'''= (P12*P15') / (P20+P19), where, P20 is the non-shared power of this time, and P19 is the power other than the shared power of this time; If P1 is not less than P12, then in this single-edge controller, the fifth final adjustable power is P23''''= (P1*P15') / (P20+P19).

7. The energy storage site charging demand control method according to claim 6, characterized in that: The calculation process of other powers except the shared power includes the following steps: For each single edge controller, determine the relationship between the required charging power P1[n] and the maximum charging power P12[n] that the device can withstand under the EMS strategy; If P1[n] is greater than P12[n], select an array satisfying P1[n]>P12[n] from each single-edge controller, and calculate the current shared power and the other power P19 except the shared power under the single-edge controller respectively; P18=P18'+{(P1[1]+P1[2]+...+P1[n])-(P12[1]+P12[2]+...+P12[n])}, P18' is the last shared power under the single-edge controller, P19=P19'+(P12[1]+P12[2]+...+P12[n]), P19' is the other power except the last shared power.

8. The energy storage site charging demand control method according to claim 7, characterized in that: The calculation process of this non-shared power includes the following steps: If P1[n] is less than P12[n], then further determine whether P1[n] is greater than 0; if P1[n] is greater than 0, then select an array from each single edge controller that satisfies P1[n]<=P12[n] and P1[n]>0; And calculate the corresponding non-shared power P20 of this time, P20=P20'+(P1[1]+P1[2]+...+P1[n]), where P20' is the non-shared power of the previous time.

9. A charging demand control system for an energy storage site, applied to the charging demand control method for an energy storage site according to any one of claims 1 to 8, the system comprising: EMS, used for issuing policies and data and displaying data; An application for executing a safety strategy for charging demand control; A message queue telemetry transmission client, used for data communication with the EMS; Historical database, used to store historical operation data; A real-time database, used to store real-time operation data, wherein the real-time database is connected to the historical database; A framework library file, used to connect the real-time database and the application program, and to connect with an interface device; A collection program, used for collecting data and writing the data into the real-time database; The acquisition program is connected to a bidirectional converter module, a battery management system secondary module, a gateway table module and a network port table module for collecting data.

10. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the energy storage site charging demand control method described in any one of claims 1 to 8 are implemented.

Images