Dynamic capacity increasing control method and device, equipment, storage medium and program product

Abstract

The application relates to the technical field of energy storage control, and discloses a dynamic capacity expansion control method, device, equipment, storage medium and program product. The method comprises the following steps: searching for preset parameters, adding all energy storage systems corresponding to a target transformer to a dynamic expansion equipment list; detecting whether the power passing through the target transformer exceeds a power control value of the target transformer in real time; if the power exceeds the power control value, calculating the excess power value, calculating a regulation power based on the upper and lower limits of the adjustable power of the equivalent energy storage system, updating an energy storage power setting value, and calculating a gateway power actual change value; if the power does not exceed the power control value, updating the adjustable power space; updating a gateway power value based on the gateway power actual change value, detecting whether a gateway triggers over-demand or a reverse flow phenomenon; and if the gateway triggers the over-demand or the reverse flow phenomenon, allocating a gateway regulation power to the corresponding equivalent energy storage system based on the adjustable power interval of each transformer, so as to update the energy storage power setting value. The above scheme has good real-time performance when the dynamic capacity expansion control function is implemented.

Description

Technical Field

[0001] This invention relates to the field of energy storage control technology, specifically to dynamic capacity expansion control methods, devices, equipment, storage media, and program products. Background Technology

[0002] With the development of new energy technologies, more and more industrial and commercial parks or power stations are choosing to connect to photovoltaic, energy storage and other systems to save electricity costs to the greatest extent. However, the fluctuation of load and the uncertainty of photovoltaic power generation may impact the transformers in the park, causing the transformers to be overloaded for a long time. It is urgent to use energy storage systems for dynamic capacity expansion control to smooth out the overload power.

[0003] In related technologies, optimization algorithms are used to establish complex mathematical models that include economic costs, energy storage lifespan, and transformer safety constraints, and global optimization is used to obtain a charging and discharging power allocation scheme that balances economy and dynamic capacity expansion. However, deploying such optimization algorithms in a local energy management system (EMS) requires significant computing resources, and the solution is slow when dealing with complex microgrid topologies, making it difficult to meet the real-time requirements of dynamic capacity expansion control when transformer overload occurs. Summary of the Invention

[0004] This invention provides a dynamic capacity expansion control method, device, equipment, storage medium, and program product to solve the problem that power allocation schemes in related technologies take too long to solve when facing complex microgrid topologies, making it difficult to meet the real-time control requirements for dynamic capacity expansion of transformers.

[0005] In a first aspect, the present invention provides a dynamic capacity expansion control method, the method comprising: Retrieve energy storage data associated with the target transformer from the preset parameters, and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list; Based on the dynamic capacity expansion device list, it is detected in real time whether the power passing through the target transformer exceeds the power control value of the target transformer; If the power exceeds the limit, the excess power value of the target transformer is calculated, and the control power is calculated based on the upper and lower limits of the adjustable power of the equivalent energy storage system. The energy storage power setting value is updated according to the control power, and the actual change value of the threshold power is calculated. If the power does not exceed the limit, the information of the target transformer and the corresponding equivalent energy storage system is added to the threshold adjustment list, and the adjustable power space of the target transformer is updated. The gate power value is updated based on the actual change value of the gate power, and the gate is checked to see if it triggers over-demand or anti-backflow phenomena. If triggered, the gate regulation power is allocated to the corresponding equivalent energy storage system based on the adjustable power range of each transformer in the gate regulation list, so as to update the energy storage power setting value until the gate returns to normal.

[0006] In one optional implementation, the calculation of the control power based on the adjustable power upper and lower limits of the equivalent energy storage system includes: Obtain the power value exceeding the target transformer, as well as the adjustable power upper limit and adjustable power lower limit of the equivalent energy storage system under the target transformer; If the excess power value is greater than the adjustable power limit, then the adjustable power limit is taken as the control power; If the excess power value is less than the adjustable power lower limit, then the adjustable power lower limit is taken as the control power; If the excess power value is between the upper limit of the adjustable power and the lower limit of the adjustable power, then the excess power value is taken as the control power.

[0007] In one optional implementation, updating the energy storage power setpoint according to the controlled power includes: The preset energy storage decomposition and coordination algorithm is invoked to use the regulated power as the total target power of the equivalent energy storage system under the target transformer; By using the energy storage decomposition and coordination algorithm, and combining the operating status of each energy storage system under the target transformer, the total target power is divided and allocated to each energy storage system, and the energy storage power setting value of each energy storage system is obtained and updated.

[0008] In one optional implementation, calculating the actual change in the gate power includes: Obtain the updated energy storage power setting value of the equivalent energy storage system under the target transformer, as well as the real-time power value before the update; The difference between the updated energy storage power setting and the real-time power value before the update is used to obtain the actual change value of the threshold power.

[0009] In one optional implementation, allocating gate regulation power to the corresponding equivalent energy storage system includes: Obtain the initial charging and discharging power upper and lower limits of each equivalent energy storage system in the gate regulation list; The state of charge (SOC) of each energy storage system corresponding to each equivalent energy storage system is detected. If the SOC of any energy storage system is greater than or equal to the preset upper limit of SOC, the rated maximum charging power of the equivalent energy storage system is updated to zero; if it is less than or equal to the preset upper limit of SOC, the rated maximum discharging power of the equivalent energy storage system is updated to zero. Based on the updated rated maximum charging power and rated maximum discharging power, the upper limit and lower limit of the actual charging and discharging power of the equivalent energy storage system are updated. Specifically, boundary constraints are applied to the upper limit of the actual discharging power and the lower limit of the actual charging power, taking into account the adjustable power space of each transformer in the gate control list. If the upper limit of the actual discharging power is greater than the rated maximum discharging power of the corresponding transformer, the upper limit of the actual discharging power is updated to the rated maximum discharging power of the transformer. If the lower limit of the actual charging power is less than the rated maximum charging power of the corresponding transformer, the lower limit of the actual charging power is updated to the rated maximum charging power of the transformer.

[0010] In one optional implementation, updating the energy storage power setting value until the threshold returns to normal includes: Based on the upper limit and lower limit of the actual charging and discharging power after boundary constraints, the preset energy storage decomposition and coordination algorithm is invoked to calculate the target power value of each equivalent energy storage system in the gate adjustment list. The energy storage power setting value of the corresponding energy storage system is updated based on the target power value and then issued for execution until the over-demand or backflow prevention phenomenon at the threshold is eliminated, so that the threshold returns to normal.

[0011] In a second aspect, the present invention provides a dynamic capacity expansion control device, the device comprising: The module is used to retrieve the energy storage data associated with the target transformer in the preset parameters and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list. The detection module is used to detect in real time whether the power passing through the target transformer exceeds the power control value of the target transformer based on the dynamic expansion device list; The update module is used to calculate the excess power value of the target transformer if the limit is exceeded, calculate the control power based on the upper and lower limits of the adjustable power of the equivalent energy storage system, update the energy storage power setting value according to the control power, and calculate the actual change value of the threshold power; if the limit is not exceeded, add the information of the target transformer and the corresponding equivalent energy storage system to the threshold adjustment list, and update the adjustable power space of the target transformer. The gate detection module is used to update the gate power value based on the actual change value of the gate power, and to detect whether the gate triggers over-demand or anti-backflow phenomena. The gate regulation module is used to, if triggered, allocate gate regulation power to the corresponding equivalent energy storage system based on the adjustable power range of each transformer in the gate regulation list, so as to update the energy storage power setting value until the gate returns to normal state.

[0012] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the dynamic capacity expansion control method of the first aspect or any corresponding embodiment described above.

[0013] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the dynamic capacity expansion control method of the first aspect or any corresponding embodiment thereof.

[0014] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the dynamic capacity expansion control method of the first aspect or any corresponding embodiment described above.

[0015] The technical solution provided by this invention may include the following beneficial effects: The dynamic capacity expansion control method provided by this invention first constructs a dynamic capacity expansion device list by searching, and locks the energy storage system associated with the target transformer. This avoids the redundant calculation of traversing the entire topology of devices in related technologies, and significantly reduces the time cost of resource location. Second, based on the dynamic capacity expansion device list, the power control value is compared in real time. Only a simple threshold judgment is needed to identify the transformer overload risk. If overloaded, the power is adjusted by combining the upper and lower limits of adjustable power. No complex optimization model is required, the amount of calculation is minimal, and the energy storage power setpoint can be updated quickly to suppress local over-limits, thereby reducing the transformer load pressure and saving transformer modification costs. If not overloaded, the transformer is included in the gate adjustment list in advance and the adjustable power space is quantified. This avoids the time-consuming step of recalculating the equipment availability when the gate anomaly is triggered later, and provides ready-to-use data for real-time adjustment. Finally, based on the actual change value of the gate power, the over-demand or backflow prevention phenomenon is warned in real time. When the gate anomaly is triggered, the power is directly allocated using the quantified adjustable power range of each transformer to achieve a rapid response and ensure that the gate returns to a safe state without triggering new local over-limits. Therefore, the above scheme transforms the power allocation under complex topology into a lightweight operation when implementing dynamic capacity expansion control, which significantly reduces the solution time and meets the real-time control requirements of transformer dynamic capacity expansion. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic flowchart of the first type of dynamic capacity expansion control method according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a second type of dynamic capacity expansion control method according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the third process of the dynamic capacity expansion control method according to an embodiment of the present invention; Figure 4 This is a structural block diagram of a dynamic capacity expansion control device according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0020] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0021] With the development of new energy technologies, more and more industrial and commercial parks and power stations are choosing to connect to photovoltaic and energy storage systems to save on electricity costs to the greatest extent possible. They reduce electricity costs by using photovoltaic power generation and energy storage to arbitrage peak and valley electricity prices. However, the fluctuation of load and the uncertainty of photovoltaic power generation may impact the transformers in the park, causing them to experience prolonged power overload. Therefore, it is urgent to use energy storage systems for dynamic capacity expansion control to mitigate overload power.

[0022] In related technologies, optimization algorithms are used to establish complex mathematical models that include economic costs, energy storage lifespan, and transformer safety constraints, and global optimization is used to obtain a charging and discharging power allocation scheme that balances economy and dynamic capacity expansion. However, deploying such optimization algorithms in a local energy management system (EMS) requires significant computing resources, and the solution is slow when dealing with complex microgrid topologies, making it difficult to meet the real-time requirements of dynamic capacity expansion control when transformer overload occurs.

[0023] According to an embodiment of the present invention, a dynamic capacity expansion control method embodiment is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0024] This embodiment provides a dynamic capacity expansion control method, which can be used in microgrid local energy management system (EMS) controllers, microgrid centralized protection and control devices, or edge computing gateways. Figure 1 This is a flowchart of a dynamic capacity expansion control method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps: Step S101: Retrieve the energy storage data associated with the target transformer in the preset parameters, and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list.

[0025] In a microgrid topology, the same level (such as the power supply level at the same voltage level) can contain multiple transformers, and each transformer can deploy multiple energy storage systems (such as distributed energy storage cabinets, energy storage clusters, etc.) to achieve local dynamic capacity expansion, power regulation, and other functions. The preset parameters can be a pre-established device topology association model, such as parameter tables, tree topology structures, device connection mapping files, etc. The target transformer can be one of the transformers in the microgrid topology. By retrieving these preset parameters, it is possible to obtain which energy storage systems are connected to the target transformer and add all energy storage systems corresponding to the target transformer to the dynamic capacity expansion device list, thus logically classifying these energy storage systems into a unified resource pool. When the target transformer faces overload risk, it can only call upon energy storage systems from this specific resource pool to assist, ensuring the accuracy and safety of control actions in the physical topology and avoiding accidental activation of devices in other unrelated loops.

[0026] Step S102: Based on the dynamic capacity expansion device list, detect in real time whether the power passing through the target transformer exceeds the power control value of the target transformer.

[0027] After establishing the dynamic capacity expansion equipment list, the real-time operating status of the target transformer is continuously monitored. This power control value is used to set a safety warning line for the target transformer, which can be set according to actual needs, such as based on the target transformer's rated capacity or short-term allowable overload threshold. The purpose of real-time detection is to compare the actual power flowing through the target transformer with the set safety warning line. Once the actual power exceeds the power control value, it indicates that the target transformer has entered an overload state. If the load is not immediately limited, it may cause the target transformer to overheat and be damaged, or even trip and lose power. By setting step S102, high-frequency real-time data comparison can be performed, providing timely and accurate trigger signals for subsequent overload prevention intervention actions.

[0028] Step S103: If the power exceeds the limit, calculate the power value that the target transformer exceeds, calculate the control power based on the upper and lower limits of the adjustable power of the equivalent energy storage system, update the energy storage power setting value according to the control power, and calculate the actual change value of the threshold power.

[0029] To facilitate power regulation, this embodiment treats all energy storage systems under each transformer as a whole, defined as an equivalent energy storage system, meaning one transformer corresponds to one equivalent energy storage system. In practical applications, a preset energy storage decomposition and coordination algorithm is first used to allocate energy storage power to the equivalent energy storage systems of each transformer and issue power commands. Then, the energy storage decomposition and coordination algorithm is used again to allocate energy storage power to each actual energy storage system corresponding to each equivalent energy storage system based on the power commands received by each equivalent energy storage system and issue power adjustment commands. Since energy storage systems have their own physical limits, the upper and lower limits of the adjustable power of the equivalent energy storage system represent the maximum discharge or charging capacity that all energy storage systems under the corresponding transformer can provide in total.

[0030] When the power of the target transformer exceeds its power control value, it indicates that the target transformer has entered an overload state. First, the excess power value (current power minus the control value) is calculated; this excess power value represents the power shortfall that the energy storage system needs to compensate for. Next, based on the adjustable power upper and lower limits of the equivalent energy storage system, the actual regulated power can be calculated. Then, this regulated power is used as the total target power, and energy storage power is allocated through a preset energy storage decomposition and coordination algorithm. The regulated power is converted into specific energy storage power setpoints, and power adjustment commands are issued to each energy storage system based on these setpoints to allow each system to discharge and offset the excess load. After each energy storage system executes the corresponding power adjustment command, the interaction power between the microgrid and the external main grid changes. Therefore, the actual change value of the gate power must be calculated and updated synchronously to provide a basis for subsequent gate status checks.

[0031] In step S104, if the limit is not exceeded, the information of the target transformer and the corresponding equivalent energy storage system is added to the gate adjustment list, and the adjustable power space of the target transformer is updated.

[0032] If the limits are not exceeded, it indicates that the target transformer is operating within a safe range. Therefore, the target transformer cannot be idle; instead, its information and the associated equivalent energy storage information are registered in the gate regulation list, effectively placing the target transformer in a standby state. Simultaneously, the adjustable power space of the target transformer is updated. This adjustable power space refers to how much additional discharge or charging power the energy storage system under the target transformer can provide without triggering transformer overload. By setting step S104, the remaining capacity (adjustable space) of the target transformer can be obtained when it is not overloaded. This allows for clarification of the target transformer's ability to contribute regulation capacity when addressing global issues at the gate level, preventing overload during regulation.

[0033] Step S105: Update the gate power value based on the actual change value of the gate power, and detect whether the gate triggers over-demand or anti-backflow phenomenon.

[0034] The boundary point refers to the property boundary between the microgrid and the external main grid, and it is the total inlet and outlet of electricity for the entire park. The boundary power value is the total power exchanged between the microgrid and the external main grid. By superimposing the actual change in boundary power caused by the energy storage system's actions in step S103 onto the boundary, the latest total power is obtained, and it is checked whether over-demand or anti-reverse current phenomena are triggered. Over-demand refers to the total power consumption exceeding the grid's approved demand, which will result in additional penalties; anti-reverse current refers to preventing the microgrid from sending power back to the external main grid, which is illegal in many industrial and commercial parks and needs to be prohibited. By setting step S105, it is ensured that while solving the local transformer overload, no systemic violations or economic penalties are triggered.

[0035] Step S106: If triggered, based on the adjustable power range corresponding to each transformer in the gate adjustment list, allocate gate adjustment power to the corresponding equivalent energy storage system to update the energy storage power setting value until the gate returns to normal.

[0036] If triggered, it indicates that the threshold has exceeded the limit. The threshold adjustment list prepared in step S104 needs to be called upon. Utilizing the adjustable power range of each transformer (i.e., the safe adjustment range of each transformer without exceeding limits), the threshold adjustment power is reallocated to the corresponding equivalent energy storage system. By reasonably distributing the adjustment task among multiple unoverloaded transformers, the charging and discharging state of the energy storage is changed, thereby pulling the total power of the threshold back to the safe range and restoring the threshold to normal operation. This process is a closed-loop dynamic adjustment. By continuously updating the energy storage power setpoint and observing the results, the excess demand or reverse current phenomenon is completely eliminated, achieving a balance between local safety and global compliance in the microgrid.

[0037] The dynamic capacity expansion control method provided in this embodiment first constructs a dynamic capacity expansion device list by searching, and locks the energy storage system associated with the target transformer. This avoids the redundant calculation of traversing the entire topology of devices in related technologies, and significantly reduces the time cost of resource location. Second, it compares the power control values ​​in real time based on the dynamic capacity expansion device list. Only a simple threshold judgment is needed to identify the transformer overload risk. If overloaded, the power is adjusted by combining the upper and lower limits of adjustable power. No complex optimization model is required, the amount of calculation is minimal, and the energy storage power setpoint can be updated quickly to suppress local over-limits, thereby reducing the transformer load pressure and saving transformer modification costs. If not overloaded, the transformer is included in the gate adjustment list in advance and the adjustable power space is quantified. This avoids the time-consuming step of recalculating the equipment availability when the gate anomaly is triggered later, and provides ready-to-use data for real-time adjustment. Finally, it provides real-time warning of over-demand or anti-reverse current phenomena based on the actual change value of the gate power. When the gate anomaly is triggered, the power is directly allocated using the quantified adjustable power range of each transformer to achieve a rapid response and ensure that the gate returns to a safe state without triggering new local over-limits. Therefore, the above scheme transforms the power allocation under complex topology into a lightweight operation when implementing dynamic capacity expansion control, which significantly reduces the solution time and meets the real-time control requirements of transformer dynamic capacity expansion.

[0038] This embodiment provides a dynamic capacity expansion control method, which can be used in microgrid local energy management system (EMS) controllers, microgrid centralized protection and control devices, or edge computing gateways. Figure 2 This is a flowchart of a dynamic capacity expansion control method according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Retrieve the energy storage data associated with the target transformer in the preset parameters, and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list.

[0039] For example, the first preset parameter is retrieved. The energy storage data associated with the ID of the target transformer is used to obtain the first transformer (target transformer). Add all energy storage systems corresponding to each transformer to the dynamic expansion equipment list. S middle.

[0040] Step S202: Based on the dynamic capacity expansion device list, detect in real time whether the power passing through the target transformer exceeds the power control value of the target transformer.

[0041] For example, based on a dynamically expanded device list S The information in the middle detects the current Time passed the first The active power (or apparent power) of each transformer. Does it exceed the limit? Power control values ​​for the active power (or apparent power) of each transformer. .

[0042] In step S203, if the power exceeds the limit, the power value exceeding the limit of the target transformer is calculated, the control power is calculated based on the upper and lower limits of the adjustable power of the equivalent energy storage system, the energy storage power setting value is updated according to the control power, and the actual change value of the threshold power is calculated.

[0043] Optionally, when calculating the control power based on the adjustable power upper and lower limits of the equivalent energy storage system, the excess power value of the target transformer, as well as the adjustable power upper and lower limits of the equivalent energy storage system under the target transformer, are first obtained. If the excess power value is greater than the adjustable power upper limit, the adjustable power upper limit is used as the control power; if the excess power value is less than the adjustable power lower limit, the adjustable power lower limit is used as the control power; if the excess power value is between the adjustable power upper and lower limits, the excess power value is used as the control power. By performing segmented logical comparison between the excess power value of the target transformer and the adjustable power upper and lower limits of the equivalent energy storage system, precise quantification of the control power is achieved. When the energy storage capacity is insufficient to completely offset the overload, the upper limit is taken (maximizing capacity expansion); when the overload is minor, it is allocated as needed, ensuring that the issued control commands do not exceed the physical limits of the energy storage equipment and can suppress transformer overload to the greatest extent.

[0044] Optionally, when updating the energy storage power setpoint based on the regulated power, a preset energy storage decomposition and coordination algorithm is first invoked to use the regulated power as the total target power of the equivalent energy storage system under the target transformer. Then, through the energy storage decomposition and coordination algorithm, combined with the operating status of each energy storage system under the target transformer, the total target power is divided and allocated to each energy storage system to obtain and update the energy storage power setpoint of each energy storage system. The energy storage decomposition and coordination algorithm can be a pre-set control logic used to reasonably decompose the total macroscopic power regulation based on the real-time boundary conditions of each underlying energy storage system (such as rated power, current state of charge, adjustable upper and lower limits, etc.). For example, it can employ logic control strategies such as allocation according to available capacity ratio or weighted allocation according to state of charge to prevent some energy storage systems from operating beyond their physical limits and to achieve smooth collaborative output among multiple energy storage systems. By introducing a pre-defined energy storage decomposition and coordination algorithm, the total target power calculated for the transformer as a whole is reasonably divided in combination with the specific operating status of each energy storage system. This avoids the problem of some energy storage systems being overloaded or unable to respond that may be caused by using simple average distribution, and improves the rationality of multiple energy storage systems participating in dynamic capacity expansion and the compatibility of equipment operation.

[0045] Optionally, when calculating the actual change in power at the threshold, first obtain the updated energy storage power setpoint of the equivalent energy storage system under the target transformer, as well as the real-time power value before the update; then, subtract the updated energy storage power setpoint from the real-time power value before the update to obtain the actual change in power at the threshold. By directly subtracting the updated energy storage power setpoint from the real-time power value before the update, a simple and accurate method for calculating the actual change in power at the threshold is provided. This method truly reflects the net impact of the dynamic capacity expansion command on the interaction power between the microgrid and the external main grid, providing a precise data basis for subsequent detection of whether the threshold triggers anomalies.

[0046] For example, if Then it is determined that after the first... The active power (or apparent power) of the transformer exceeds that of the first transformer. Update the power control value of the transformer. The power value exceeding the transformer's capacity The formula is as follows:

[0047] Next, calculate Time of the first Adjustable upper and lower limits of the equivalent energy storage system for a transformer:

[0048]

[0049]

[0050] in, for Time of the first The lower limit of the adjustable power of the equivalent energy storage system of a transformer. for Time of the first The upper limit of the adjustable power of the equivalent energy storage system of a transformer. for Time of the first The first transformer The lower power limit of an energy storage system for Time of the first The first transformer The power limit of an energy storage system for Time of the first The first transformer The power value of an energy storage system for Time of the first The control power corresponding to each transformer energy storage system.

[0051] Then, the power control is issued. Call the energy storage decomposition coordination algorithm to update Time of the first Energy storage power setting value of each transformer :

[0052] in, for Time of the first The first transformer Energy storage power setting value for an energy storage system.

[0053] Next, calculate Actual change in threshold power at time t_ ... :

[0054] in, for Time of the first The change in energy storage power of each transformer.

[0055] In step S204, if the limit is not exceeded, the information of the target transformer and the corresponding equivalent energy storage system is added to the gate adjustment list, and the adjustable power space of the target transformer is updated.

[0056] Optionally, when updating the adjustable power space of the target transformer, the power control value of the target transformer and the power passing through the target transformer in real time are first obtained; then the difference between the power control value and the power passing through the target transformer is calculated to obtain and update the adjustable power space of the target transformer.

[0057] For example, if Then it is determined that after the first... The active power (or apparent power) of the transformer did not exceed the limit of the first transformer. The power control value of the transformer is recorded. Information on each transformer and its corresponding equivalent energy storage system is added to the gate control list. G In, and update the first Adjustable power range of the transformer:

[0058]

[0059] in, for Time of the first The lower limit of the adjustable power of a transformer. for Time of the first The upper limit of the adjustable power of a transformer.

[0060] Step S205: Update the gate power value based on the actual change value of the gate power.

[0061] For example, update Power value at the critical moment :

[0062] in, Before the update Power value at the critical moment. For the updated The power value at the critical moment.

[0063] Step S206: Detect whether the gate triggers over-demand or anti-backflow phenomena.

[0064] Optionally, when detecting whether the gate triggers over-demand or backflow prevention, the updated gate power value, gate demand power control value, and gate backflow prevention power control value are first obtained. If the updated gate power value is greater than the gate demand power control value, the gate is determined to have triggered over-demand, and the difference between the updated gate power value and the gate demand power maintenance point is calculated as the demand power over-limit value. If the updated gate power value is less than the gate backflow prevention power control value, the gate is determined to have triggered backflow prevention, and the difference between the gate backflow prevention power maintenance point and the updated gate power value is calculated as the backflow prevention power over-limit value.

[0065] For example, if If the gate triggers an over-demand event, calculate and update the over-demand. Power demand exceeding the limit at any time :

[0066] in, It is the required power control value at the gate. It is the critical point for maintaining the required power.

[0067] like Then the gate triggers anti-backflow, calculates and updates. Anti-reverse current power limit at any time :

[0068] in, It is the backflow prevention power control value at the gate. It is the power maintenance point for preventing backflow at the control point.

[0069] like and If the threshold does not trigger excess demand and backflow prevention, the current adjustment ends.

[0070] Step S207: If triggered, based on the adjustable power range corresponding to each transformer in the gate adjustment list, allocate gate adjustment power to the corresponding equivalent energy storage system to update the energy storage power setting value until the gate returns to normal.

[0071] Specifically, step S207 includes: Step S2071: If triggered, then based on the adjustable power range of each transformer in the gate regulation list, allocate gate regulation power to the corresponding equivalent energy storage system.

[0072] Specifically, firstly, the initial charging and discharging power limits of each equivalent energy storage system in the gate adjustment list are obtained; then, the state of charge (SOC) of each energy storage system corresponding to each equivalent energy storage system is detected. If the SOC of any energy storage system is greater than or equal to the preset upper limit of SOC, it indicates that the energy storage system is fully charged and cannot be charged further, so the rated maximum charging power of the equivalent energy storage system to which the energy storage system belongs is updated to zero; if the SOC of any energy storage system is less than the preset upper limit of SOC, it indicates that the energy storage system can still be charged, so the rated maximum charging power of the equivalent energy storage system to which the energy storage system belongs is added to the new rated maximum charging power of the energy storage system. The maximum charging power is used as the updated rated maximum charging power of the equivalent energy storage system. If the state of charge (SBC) of any energy storage system is less than or equal to the preset SBC limit, it indicates that the energy storage system has insufficient power and cannot discharge further. In this case, the rated maximum discharge power of the equivalent energy storage system containing that energy storage system is updated to zero. If the SBC of any energy storage system is greater than the preset SBC limit, it indicates that the energy storage system can still discharge. In this case, the rated maximum discharge power of the equivalent energy storage system containing that energy storage system is added to the new rated maximum discharge power of the energy storage system, which is then used as the updated rated maximum discharge power of the equivalent energy storage system. Next, based on the updated rated maximum charging power and rated maximum discharge power, the upper limit of the actual discharge power and the lower limit of the actual charging power of the equivalent energy storage system are updated. Specifically, based on the adjustable power space of each transformer in the gate adjustment list, boundary constraints are applied to the upper limit of actual discharge power and the lower limit of actual charging power. If the upper limit of actual discharge power is greater than the rated maximum discharge power of the corresponding transformer, the upper limit of actual discharge power is updated to the rated maximum discharge power of the transformer; if the lower limit of actual charging power is less than the rated maximum charging power of the corresponding transformer, the lower limit of actual charging power is updated to the rated maximum charging power of the transformer.

[0073] By introducing State of Charge (SOC) to correct charging and discharging limits in real time, safety accidents such as overcharging or over-discharging of the energy storage system are prevented. Furthermore, while considering dynamic capacity expansion of the transformer, the SOC balancing scheme of the energy storage system is combined to ensure the balance of the energy storage SOC during the dynamic adjustment of the entire station. This further improves the overload protection capability of the transformer and the power stability and system robustness of the park or station. The adjustable power space of the transformer is used for secondary boundary constraints (such as preventing reverse current caused by excessively low discharge and new transformer over-limits caused by excessively high charge). This ensures that when solving global anomalies at the threshold, the safety bottom line of the local transformer is not breached, thereby achieving dual safety constraints for threshold power distribution adjustment.

[0074] For example, first obtain the list of gate adjustments. G Initial charge and discharge power limits of various equivalent energy storage systems and :

[0075]

[0076]

[0077] in, It is a list of checkpoint adjustments. G middle Time of the first Real-time power value of the equivalent energy storage system of a transformer. It is a list of checkpoint adjustments. G middle Time of the first The first transformer Real-time power values ​​of individual energy storage systems It is a list of checkpoint adjustments. G middle Time of the first The lower limit of the charging and discharging power of the equivalent energy storage system of a transformer. It is a list of checkpoint adjustments. G middle Time of the first The upper limit of the charging and discharging power of the equivalent energy storage system of a transformer.

[0078] Next, check the checkpoint adjustment list. G The state of charge of all energy storage systems corresponding to each equivalent energy storage system is updated, and the rated maximum charge and discharge power of the equivalent energy storage system is updated. , : like ,but ; like ,but .

[0079] in, It is a list of checkpoint adjustments. G middle Time of the first The first transformer The state of charge of an energy storage system It is a list of checkpoint adjustments. G The Middle The first transformer State of charge limit of an energy storage system It is a list of checkpoint adjustments. G The Middle The first transformer The upper limit of the state of charge of an energy storage system This is the checkpoint adjustment list before the update. G The Middle The rated maximum discharge power of the equivalent energy storage system of a transformer. This is the updated checkpoint adjustment list. G The Middle The rated maximum discharge power of the equivalent energy storage system of a transformer. This is the checkpoint adjustment list before the update. G The Middle The rated maximum charging power of the equivalent energy storage system of a transformer. This is the updated checkpoint adjustment list. G The Middle The rated maximum charging power of the equivalent energy storage system of a transformer. It is a list of checkpoint adjustments. G The Middle The first transformer The rated maximum discharge power of each energy storage system It is a list of checkpoint adjustments. G The Middle The first transformer The rated maximum charging power of each energy storage system.

[0080] Then, based on the adjustable power range of the transformer, the gate adjustment list is further updated. G The upper and lower limits of the actual charge and discharge power of the equivalent energy storage system in the figure: like ,but ;otherwise ; like ,but ;otherwise .

[0081] For the list of checkpoint adjustments G middle Time of the first The upper limit of the actual discharge power of the equivalent energy storage system of a transformer; For the list of checkpoint adjustments G middle Time of the first The lower limit of the actual charging power of the equivalent energy storage system of a transformer is negative.

[0082] Step S2072: Update the energy storage power setting value.

[0083] Specifically, based on the upper and lower limits of the actual charging and discharging power after boundary constraints, a preset energy storage decomposition and coordination algorithm is invoked to calculate the target power value of each equivalent energy storage system in the gate regulation list; the energy storage power setpoint of the corresponding energy storage system is updated based on the target power value and then issued for execution. Within the aforementioned dual safety constraints, the preset energy storage decomposition and coordination algorithm reasonably breaks down the macro-level regulation requirements into specific target power values ​​for each energy storage system and issues them for execution, ensuring the rationality of output and equipment compatibility when multiple energy storage systems participate in gate regulation in a coordinated manner.

[0084] For example, the target power value that needs to be adjusted at the gate is issued. (include and According to the checkpoint adjustment list G Upper limit of actual discharge power of equivalent energy storage system Actual charging power lower limit Invoke the energy storage decomposition coordination algorithm and update the gate control list. G middle Time of the first Energy storage power setpoint of the equivalent energy storage system of a transformer .

[0085] Updated checkpoint adjustment list G The Middle The power values ​​of all energy storage systems participating in regulation under each transformer are as follows:

[0086] in, This is the updated checkpoint adjustment list. G middle Time of the first The equivalent energy storage system of each transformer participates in regulation. It should be noted that the power value participating in regulation refers to the actual power value regulated after all energy storage systems have been allocated the power to be regulated and the regulation actions are performed according to the regulation capacity.

[0087] The decomposition and coordination algorithm is invoked to sequentially distribute the power adjustment. To be used by energy storage systems.

[0088] Step S2073: Return to the step of detecting whether the gate has triggered over-demand or anti-backflow phenomenon, until the over-demand or anti-backflow phenomenon of the gate is eliminated, so that the gate returns to normal state.

[0089] By continuously conducting cycles of testing, adjustment, and retesting, the adjustment is ensured to be truly effective until the threshold power is completely and stably restored to the normal safe range, thereby improving the ability to resist disturbances and the robustness of control.

[0090] As one or more specific application embodiments of the present invention, the optimal implementation scheme or the scheme that the inventors most want to embody is described in combination with the specific application scenario.

[0091] Figure 3 This is a flowchart of a dynamic capacity expansion control method according to an embodiment of the present invention, such as... Figure 3 As shown, firstly, the station topology parameter information is retrieved and a dynamic expansion equipment list S is generated. Based on the dynamic expansion equipment list S, detection... Time of the first Does the power of the transformer exceed the power control value? If so, activate overload protection, update the excessive power value, and calculate... Time of the first The adjustable power limits of the equivalent energy storage system of each transformer are determined, and combined with the energy storage decomposition and coordination algorithm, the energy storage control public information is issued, the energy storage system power target value is updated, and the threshold value after overload protection is calculated; otherwise, the record is made. Information about each transformer is added to the gate adjustment list G, and the adjustable power range of that transformer is updated. Next, it checks if there is an over-demand phenomenon at the gate. If so, the demand power over-limit value is calculated and updated; if not, it checks if there is a reverse current phenomenon at the gate. If not, the current adjustment ends; if so, the anti-reverse current power over-limit value is calculated and updated. Then, combining the energy storage system and the adjustable power range of the transformer, the upper and lower limits of the actual charging and discharging power of the equivalent energy storage system in the gate adjustment list G are updated, and then the [further details are needed for a complete translation]. The power values ​​of all energy storage cabinets under each transformer are regulated. Finally, the energy storage decomposition and coordination algorithm is called to sequentially issue the energy storage regulation power so that the gate returns to normal.

[0092] This embodiment also provides a dynamic capacity expansion control device for implementing the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0093] This embodiment provides a dynamic capacity expansion control device, such as... Figure 4 As shown, the device includes: Add module 401 to retrieve the energy storage data associated with the target transformer in the preset parameters and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list; The detection module 402 is used to detect in real time whether the power passing through the target transformer exceeds the power control value of the target transformer based on the dynamic expansion equipment list. The update module 403 is used to calculate the excess power value of the target transformer if it exceeds the limit, calculate the control power based on the upper and lower limits of the adjustable power of the equivalent energy storage system, update the energy storage power setting value according to the control power, and calculate the actual change value of the gate power; if it does not exceed the limit, add the information of the target transformer and the corresponding equivalent energy storage system to the gate adjustment list, and update the adjustable power space of the target transformer. The gate detection module 404 is used to update the gate power value based on the actual change value of the gate power, and to detect whether the gate triggers over-demand or anti-backflow phenomena. The gate adjustment module 405 is used to, if triggered, allocate gate adjustment power to the corresponding equivalent energy storage system based on the adjustable power range of each transformer in the gate adjustment list, so as to update the energy storage power setting value until the gate returns to normal.

[0094] In an alternative implementation, the update module is further configured to: Obtain the power value exceeding the target transformer, as well as the upper and lower adjustable power limits of the equivalent energy storage system under the target transformer; If the excess power value is greater than the adjustable power limit, then the adjustable power limit is taken as the control power; If the excess power value is less than the adjustable power lower limit, then the adjustable power lower limit shall be used as the control power; If the excess power value is between the upper limit and the lower limit of the adjustable power, then the excess power value is taken as the controlled power.

[0095] In an alternative implementation, the update module is further configured to: The preset energy storage decomposition and coordination algorithm is invoked to take the regulated power as the total target power of the equivalent energy storage system under the target transformer; By using this energy storage decomposition and coordination algorithm, and combining the operating status of each energy storage system under the target transformer, the total target power is divided and allocated to each energy storage system, and the energy storage power setpoint of each energy storage system is obtained and updated.

[0096] In an alternative implementation, the update module is further configured to: Obtain the updated energy storage power setting value of the equivalent energy storage system under the target transformer, as well as the real-time power value before the update; The difference between the updated energy storage power setting and the real-time power value before the update is used to obtain the actual change in power at that threshold.

[0097] In one alternative implementation, the gate adjustment module is further configured to: Obtain the initial charging and discharging power limits of each equivalent energy storage system in the control list at this threshold. The state of charge (SOC) of each energy storage system corresponding to each equivalent energy storage system is detected. If the SOC of any energy storage system is greater than or equal to the preset upper limit of SOC, the rated maximum charging power of the equivalent energy storage system is updated to zero; if it is less than or equal to the preset upper limit of SOC, the rated maximum discharging power of the equivalent energy storage system is updated to zero. Based on the updated rated maximum charging power and rated maximum discharging power, the upper limit and lower limit of the actual charging and discharging power of the equivalent energy storage system are updated. Specifically, the upper limit of the actual discharging power and the lower limit of the actual charging power are subject to boundary constraints by taking into account the adjustable power space of each transformer in the gate adjustment list. If the upper limit of the actual discharging power is greater than the rated maximum discharging power of the corresponding transformer, the upper limit of the actual discharging power is updated to the rated maximum discharging power of the transformer. If the lower limit of the actual charging power is less than the rated maximum charging power of the corresponding transformer, the lower limit of the actual charging power is updated to the rated maximum charging power of the transformer.

[0098] In one alternative implementation, the gate adjustment module is further configured to: Based on the upper limit and lower limit of the actual charging and discharging power after boundary constraints, the preset energy storage decomposition and coordination algorithm is invoked to calculate the target power value of each equivalent energy storage system in the gate adjustment list. The energy storage power setting value of the corresponding energy storage system is updated based on the target power value and then issued for execution until the over-demand or backflow prevention phenomenon at the threshold is eliminated, so that the threshold returns to normal.

[0099] The dynamic capacity expansion control device provided in this embodiment of the invention can execute the dynamic capacity expansion control method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the various modules and units described above are the same as in the corresponding embodiments described above, and will not be repeated here.

[0100] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0101] The following is a detailed reference. Figure 5 This diagram illustrates a suitable structural schematic for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 501, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 502 or a program loaded from memory 508 into random access memory (RAM) 503. The RAM 503 also stores various programs and data required for the operation of the electronic device. The processor 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0102] Typically, the following devices can be connected to I / O interface 505: input devices 506 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 507 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 508 including, for example, magnetic tapes, hard disks, etc.; and communication devices 509. Communication device 509 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 5 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0103] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 509, or installed from a memory 508, or installed from a ROM 502. When the computer program is executed by the processor 501, it performs the functions defined in the dynamic capacity expansion control method of the embodiments of the present invention.

[0104] Figure 5 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0105] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the dynamic capacity expansion control method shown in the above embodiments is implemented.

[0106] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0107] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the invention.

Claims

1. A dynamic capacity expansion control method, characterized in that, The method includes: Retrieve energy storage data associated with the target transformer from the preset parameters, and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list; Based on the dynamic capacity expansion device list, it is detected in real time whether the power passing through the target transformer exceeds the power control value of the target transformer; If the power exceeds the limit, the excess power value of the target transformer is calculated, and the control power is calculated based on the upper and lower limits of the adjustable power of the equivalent energy storage system. The energy storage power setting value is updated according to the control power, and the actual change value of the threshold power is calculated. If the power does not exceed the limit, the information of the target transformer and the corresponding equivalent energy storage system is added to the threshold adjustment list, and the adjustable power space of the target transformer is updated. The gate power value is updated based on the actual change value of the gate power, and the gate is checked to see if it triggers over-demand or anti-backflow phenomena. If triggered, the gate regulation power is allocated to the corresponding equivalent energy storage system based on the adjustable power range of each transformer in the gate regulation list, so as to update the energy storage power setting value until the gate returns to normal.

2. The method according to claim 1, characterized in that, The calculation of the adjustable power based on the upper and lower limits of the adjustable power of the equivalent energy storage system includes: Obtain the power value exceeding the target transformer, as well as the adjustable power upper limit and adjustable power lower limit of the equivalent energy storage system under the target transformer; If the excess power value is greater than the adjustable power limit, then the adjustable power limit is taken as the control power; If the excess power value is less than the adjustable power lower limit, then the adjustable power lower limit is taken as the control power; If the excess power value is between the upper limit of the adjustable power and the lower limit of the adjustable power, then the excess power value is taken as the control power.

3. The method according to claim 2, characterized in that, The step of updating the energy storage power setpoint according to the controlled power includes: The preset energy storage decomposition and coordination algorithm is invoked to use the regulated power as the total target power of the equivalent energy storage system under the target transformer; By using the energy storage decomposition and coordination algorithm, and combining the operating status of each energy storage system under the target transformer, the total target power is divided and allocated to each energy storage system, and the energy storage power setting value of each energy storage system is obtained and updated.

4. The method according to claim 3, characterized in that, The calculation of the actual change in power at the checkpoint includes: Obtain the updated energy storage power setting value of the equivalent energy storage system under the target transformer, as well as the real-time power value before the update; The difference between the updated energy storage power setting and the real-time power value before the update is used to obtain the actual change value of the threshold power.

5. The method according to any one of claims 1 to 4, characterized in that, The allocation of gate regulation power to the corresponding equivalent energy storage system includes: Obtain the initial charging and discharging power upper and lower limits of each equivalent energy storage system in the gate regulation list; The state of charge (SOC) of each energy storage system corresponding to each equivalent energy storage system is detected. If the SOC of any energy storage system is greater than or equal to the preset upper limit of SOC, the rated maximum charging power of the equivalent energy storage system is updated to zero; if it is less than or equal to the preset upper limit of SOC, the rated maximum discharging power of the equivalent energy storage system is updated to zero. Based on the updated rated maximum charging power and rated maximum discharging power, the upper limit of the actual discharge power and the lower limit of the actual charging power of the equivalent energy storage system are updated. Specifically, boundary constraints are applied to the upper limit of the actual discharge power and the lower limit of the actual charging power, taking into account the adjustable power space of each transformer in the gate control list. If the upper limit of the actual discharge power is greater than the rated maximum discharge power of the corresponding transformer, the upper limit of the actual discharge power is updated to the rated maximum discharge power of the transformer. If the lower limit of the actual charging power is less than the rated maximum charging power of the corresponding transformer, the lower limit of the actual charging power is updated to the rated maximum charging power of the transformer.

6. The method according to claim 5, characterized in that, The step of updating the energy storage power setting value until the threshold returns to normal includes: Based on the upper limit and lower limit of the actual charging and discharging power after boundary constraints, the preset energy storage decomposition and coordination algorithm is invoked to calculate the target power value of each equivalent energy storage system in the gate adjustment list. The energy storage power setting value of the corresponding energy storage system is updated based on the target power value and then issued for execution until the over-demand or backflow prevention phenomenon at the threshold is eliminated, so that the threshold returns to normal.

7. A dynamic capacity expansion control device, characterized in that, The device includes: The module is used to retrieve the energy storage data associated with the target transformer in the preset parameters and add all energy storage systems corresponding to the target transformer to the dynamic expansion device list. The detection module is used to detect in real time whether the power passing through the target transformer exceeds the power control value of the target transformer based on the dynamic expansion device list; The update module is used to calculate the excess power value of the target transformer if the limit is exceeded, calculate the control power based on the upper and lower limits of the adjustable power of the equivalent energy storage system, update the energy storage power setting value according to the control power, and calculate the actual change value of the threshold power; if the limit is not exceeded, add the information of the target transformer and the corresponding equivalent energy storage system to the threshold adjustment list, and update the adjustable power space of the target transformer. The gate detection module is used to update the gate power value based on the actual change value of the gate power, and to detect whether the gate triggers over-demand or anti-backflow phenomena. The gate regulation module is used to, if triggered, allocate gate regulation power to the corresponding equivalent energy storage system based on the adjustable power range of each transformer in the gate regulation list, so as to update the energy storage power setting value until the gate returns to normal state.

8. An electronic device, characterized in that, include: A memory and a processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the dynamic capacity expansion control method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the dynamic capacity expansion control method according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes computer instructions for causing a computer to execute the dynamic capacity expansion control method according to any one of claims 1 to 6.

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