Power balance control method and system based on main distribution micro cooperation
By establishing a topological connection across voltage levels, business systems, and management departments, user resource data is acquired and adjustable capabilities are calculated. Power balance strategies are generated and decomposed, which solves the shortcomings of existing technologies in cross-voltage level power balance control and achieves efficient new energy consumption and grid optimization.
Patent Information
- Application Number
- CN202510653766.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-21
- Publication Date
- 2025-11-25
AI Technical Summary
Existing technologies lack power balance control solutions that span management departments, business systems, and voltage levels, and are particularly inadequate in terms of distributed renewable energy consumption and the power supply needs of large power grids.
By connecting the distribution network and microgrid of the power system, a topological splicing relationship is established across voltage levels, business systems, and management departments. Real-time data on user resources is obtained, the up-adjustment and down-adjustment capabilities are calculated, a main distribution microgrid coordinated regulation strategy is generated, and the strategy is decomposed and executed layer by layer from top to bottom, and the strategy is adjusted in a timely manner to achieve power balance.
It has enabled unified modeling and collaborative control of equipment across voltage levels, improved energy utilization efficiency, promoted the consumption of distributed new energy sources, reduced energy waste, ensured the safe and stable operation of the power grid, and optimized the power grid structure.
Smart Images
Figure CN121011982A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power system automation technology, and in particular to a power balance control method and system based on main-distribution-micro-coordination. Background Technology
[0002] With strong policy support and continuous technological progress, my country's distributed renewable energy has developed rapidly, with newly installed capacity increasing year by year, and the demand for renewable energy consumption and power grid supply has become increasingly severe.
[0003] A power balance control system that integrates primary, secondary, and micro-level distribution systems is an effective solution. Currently, many methods exist for coordinated control of power generation, grid, load, and energy storage, but solutions involving cross-management departments, cross-business systems, and cross-voltage levels are still rare. In particular, the analysis and layer-by-layer aggregation of the characteristics of various distributed resources, and the rational generation and execution of appropriate handling strategies in the event of abnormal events, are urgent problems that need to be solved. Summary of the Invention
[0004] In view of the problems existing in the power balance control and system based on main distribution micro-coordination, this invention is proposed.
[0005] Therefore, the problem that this invention aims to solve is the inability to generate solutions that span management departments, business systems, and voltage levels.
[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, embodiments of the present invention provide a power balance control method based on master-distributor-micro-coordination, which includes the following steps: Connect the power system's distribution network and microgrid, and establish a topology that covers equipment across voltage levels, data across business systems, and management levels; Acquire real-time user resource data and aggregate it from bottom to top to the station area according to the topology splicing relationship to form a basic dataset across management departments. Based on the aggregated basic dataset, calculate the user's up-adjustable capacity (PU) and down-adjustable capacity (PD). Data on users' adjustable and de-adjustable capabilities are aggregated to the distribution areas of the power system to form adjustable capabilities across management departments; Based on the adjustable capabilities of each management department, a primary-secondary-micro collaborative adjustment strategy is generated; Based on the generated primary-secondary-micro collaborative adjustment strategy, the execution is decomposed and implemented layer by layer from top to bottom in the topology splicing relationship; The execution results are fed back and tracked up layer by layer. For cases where execution is not fully completed, the strategy is adjusted in a timely manner and additional execution is carried out.
[0007] As a preferred embodiment of the power balance control method based on main distribution micro-coordination described in this invention, the topology splicing relationship includes resources, users, meter boxes, distribution areas, feeders, substations, county companies, municipal companies, and provincial companies; Among them, resources, users, and data boxes are acquired by the marketing system; The distribution area, feeder, substation, county company, municipal company, and provincial company are obtained from the PMS system; The topology splicing relationship is implemented in the power distribution cloud master station.
[0008] As a preferred embodiment of the power balance control method based on primary-distributor-micro-coordination described in this invention, the step of calculating the user's adjustable capacity and adjustable capacity includes: Based on the aggregated base dataset, the adjustable capacity PU and adjustable capacity PD of a single user are calculated according to the user's adjustable capacity and adjustable capacity functions. The functions representing the user's adjustable and de-adjustable capabilities are as follows: ; ; In the formula, PU represents the adjustable capacity per unit. DG Distributed power sources have an upscalability capability, typically 0; PO ESS P is the maximum power of energy storage discharge. ESS Real-time power for energy storage; PU RS The adjustable capacity of flexible loads is typically the real-time power of the flexible load. PD represents the adjustable capacity of a single household. DG The adjustable capability of distributed power sources is typically the real-time power of the distributed power source; PI ESS For maximum charging power of energy storage, P ESS Real-time power of energy storage; PD RS The adjustable capacity for flexible loads is typically 0.
[0009] As a preferred embodiment of the power balance control method based on primary-distribution-micro-coordination described in this invention, the method for generating the primary-distribution-micro-coordination adjustment strategy includes: Based on the adjustable capabilities at each level, collaborative adjustment strategies for main grid, distribution network, and microgrid at different levels are generated for scenarios such as load gaps, equipment overload, and distributed power backfeed.
[0010] As a preferred embodiment of the power balance control method based on main grid-distribution-micro grid coordination described in this invention, the load gap is initiated by the main grid with priority given to main grid resources, and the remaining adjustment data is then distributed to the distribution network according to the target values at the district / county company level. In the scenario of equipment overload or distributed power backfeed, the target values are distributed to the microgrid according to the target values at the distribution area or user level.
[0011] As a preferred embodiment of the power balance control method based on primary-distributor-micro-coordination described in this invention, the step of decomposition execution includes: When dealing with load gaps or equipment overloads, the strategy is decomposed into district and county target values and then sent to the distribution automation system through the main grid's resource adjustment capabilities. The distribution automation system then decomposes the strategy into the flexible resources of the company-level assets through the operator's adjustment method, and then into user-side resources. The target values are then sent to the new load management system at the user level, and the new load management system carries out resource-level decomposition and execution.
[0012] As a preferred embodiment of the power balance control method based on main grid, distribution grid and microgrid coordination described in this invention, the strategy initiated by the main grid or distribution grid is executed on the microgrid side, and the execution result is fed back and tracked layer by layer upwards. If the execution result is not executed or partially executed and the abnormal event cannot be completely handled, the strategy is adjusted, decomposed layer by layer and additional execution is carried out.
[0013] Secondly, embodiments of the present invention provide a power balance control system based on main distribution micro-coordination, which includes an acquisition module, a data processing module, a multi-level adjustable capability aggregation module, and a strategy generation module. The acquisition module is used to connect the power system's distribution network and microgrid, and establish topology splicing relationships covering equipment across voltage levels, data across business systems, and across management department levels; The data processing module is used to acquire real-time user resource data, aggregate the real-time user resource data from bottom to top according to the topology splicing relationship to the station area, form a basic dataset across management departments, and calculate the user's adjustable capacity PU and adjustable capacity PD based on the aggregated basic dataset. The multi-level adjustable capacity aggregation module is used to aggregate user adjustable capacity and adjustable capacity data to the power system's distribution areas, forming adjustable capacity across management departments; The strategy generation module is used to generate primary-secondary-micro-coordinated adjustment strategies based on the adjustable capabilities of each management department; based on the generated primary-secondary-micro-coordinated adjustment strategies, the strategies are decomposed and executed layer by layer from top to bottom in the topology splicing relationship; the execution results are fed back and tracked layer by layer upwards; and for cases where the strategies are not fully executed, the strategies are adjusted and additional executions are performed in a timely manner.
[0014] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any step of the above-described power balance control method based on master-distributor-micro-coordination.
[0015] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the above-described power balance control method based on master-distributor-micro-coordination.
[0016] The beneficial effects of this invention are as follows: By connecting the topology of the main grid (high voltage), distribution network (medium voltage), and microgrid (low voltage), unified modeling and collaborative control of equipment across voltage levels are achieved, eliminating the problem of insufficient resource utilization caused by voltage level fragmentation in traditional methods, and solving the deficiency of existing technologies in lacking cross-voltage level solutions. It is particularly suitable for the absorption needs of distributed renewable energy in different grid levels. Secondly, by calculating the user's up-adjustment and down-adjustment capabilities, user data can be aggregated to the distribution area according to the topology connection, achieving unified management across management departments, business systems, and voltage levels. This enables microgrids to leverage the distribution network for mutual support, maximizing the use of distributed power sources and energy storage resources, promoting the local consumption of new energy sources, reducing energy waste, and improving energy efficiency. By monitoring and controlling user-side resources in real time, it can quickly respond to issues such as load gaps, equipment overloads, and distributed power backfeeding in grid operation, promptly adjusting the power balance and avoiding power outages caused by local grid overloads or voltage instability. This ensures the safe and stable operation of the grid and achieves multi-level and multi-dimensional resource optimization from the main grid to the distribution network and then to the microgrid. It not only efficiently utilizes existing grid resources but also guides the rational layout and orderly access of distributed energy sources, avoiding the negative impacts of disorderly expansion, and contributing to the optimization and upgrading of the grid structure. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a framework diagram of the main-distribution-micro-coordination power balance control method.
[0018] Figure 2 This is an interactive data flow diagram of a power balance control method based on master-distributor-micro-coordination. Detailed Implementation
[0019] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.
[0020] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0021] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.
[0022] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.
[0023] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0024] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.
[0025] Example 1 Reference Figure 1 and Figure 2This is the first embodiment of the present invention, which provides a power balance control method based on master-distributor micro-coordination, including the following steps: S1. Connect the power distribution network and microgrid of the power system to establish a bottom-up topology that covers equipment across voltage levels, data across business systems, and management department levels.
[0026] The topology splicing relationship includes resources, users, meter boxes, transformer areas, feeders, substations, county companies, municipal companies, and provincial companies; Among them, resources, users, and data boxes are acquired by the marketing system; The distribution area, feeder, substation, county company, municipal company, and provincial company are obtained from the PMS system; The topology splicing relationship is implemented in the power distribution cloud master station.
[0027] The system acquires information related to meter boxes in the PMS system and performs splicing in the distribution cloud master station, establishing a bottom-up topology splicing relationship, mainly including: resource-user-meter box-transformer area-feeder-substation-county company-municipal company-provincial company. The core of distribution-microgrid collaboration is the connection between users and transformers. The distribution network can thus acquire and control user-side resource information, and microgrids can leverage the distribution network to conduct microgrid mutual assistance, maximizing the consumption of renewable energy.
[0028] S2. Acquire real-time user resource data and aggregate the real-time user resource data from bottom to top to the station area according to the topology splicing relationship to form a basic dataset across management departments. Based on the aggregated basic dataset, calculate the user's adjustable capacity (PU) and adjustable capacity (PD).
[0029] The steps for calculating a user's upside and downside capabilities include: Based on the aggregated base dataset, the adjustable capacity PU and adjustable capacity PD of a single user are calculated according to the user's adjustable capacity and adjustable capacity functions. The functions representing the user's adjustable and de-adjustable capabilities are as follows: ; ; In the formula, PU represents the adjustable capacity per unit. DG Distributed power sources have an upscalability capability, typically 0; PO ESS P is the maximum power of energy storage discharge. ESS Real-time power for energy storage; PU RS The adjustable capacity of flexible loads is typically the real-time power of the flexible load. PD represents the adjustable capacity of a single household. DG The adjustable capability of distributed power sources is typically the real-time power of the distributed power source; PI ESS For maximum charging power of energy storage, P ESSReal-time power of energy storage; PD RS The adjustable capacity for flexible loads is typically 0.
[0030] S3. Aggregate user data on adjustable and de-adjustable capabilities to the distribution areas of the power system to form adjustable capabilities across management departments.
[0031] User adjustable capacity data is aggregated to the distribution area based on the topology splicing results, and resource aggregation calculations are carried out from bottom to top according to the topology relationship. The adjustable capacity of the distribution area is aggregated at the distribution cloud master station and synchronized through the internal distribution network system. Based on the adjustable capacity of the distribution area, the adjustable capacity of the feeder, substation, and district / county company is aggregated in the distribution automation system. Finally, it is aggregated at the dispatch automation system to form the adjustable capacity of the city and province.
[0032] S4. Based on the adjustable capabilities of each management department, generate a primary-secondary-micro collaborative adjustment strategy.
[0033] The method for forming the master-supplier micro-coordinated regulation strategy includes, Based on the adjustable capabilities at each level, collaborative adjustment strategies for main grid, distribution grid, and microgrid at different levels are generated for scenarios such as load gaps, equipment overload, and distributed power backfeed.
[0034] The load gap is initiated by the main grid strategy, which prioritizes main grid resources and then distributes the remaining adjustment data to the distribution network according to the target values of district and county companies. In the scenario of equipment overload or distributed power backfeed, the target values are distributed to the microgrid according to the target values at the distribution area or user level.
[0035] S5. Based on the generated master-slave-micro collaborative adjustment strategy, decompose and execute it layer by layer from top to bottom.
[0036] The steps of the decomposition execution include, When dealing with load gaps or equipment overloads, the strategy is decomposed into district and county target values and then sent to the distribution automation system through the main grid's resource adjustment capabilities. The distribution automation system then decomposes the strategy into the flexible resources of the company-level assets through the operator's adjustment method, and then into user-side resources. The target values are then sent to the new load management system at the user level, and the new load management system carries out resource-level decomposition and execution.
[0037] S6. Feed back and track the execution results layer by layer upwards. For cases where execution is not fully completed, adjust the strategy in a timely manner and add more execution.
[0038] The execution of policies initiated by the main network or distribution network is carried out on the microgrid side. The execution results are then fed back and tracked layer by layer upwards. If the execution results are not executed or only partially executed and abnormal events cannot be fully handled, the policy is adjusted, decomposed layer by layer, and additional execution is carried out. In summary, by connecting the topology of the main grid (high voltage), distribution network (medium voltage), and microgrid (low voltage), unified modeling and collaborative control of equipment across voltage levels can be achieved. This eliminates the resource utilization problems caused by voltage level fragmentation in traditional methods and addresses the lack of cross-voltage level solutions in existing technologies. It is particularly suitable for the absorption needs of distributed renewable energy in different grid levels. Secondly, by calculating the user's up-adjustment and down-adjustment capabilities, user data can be aggregated to the distribution area based on the topology connection, enabling unified management across management departments, business systems, and voltage levels. This enables microgrids to leverage the distribution network for mutual support, maximizing the use of distributed power sources and energy storage resources, promoting the local consumption of new energy sources, reducing energy waste, and improving energy efficiency. By monitoring and controlling user-side resources in real time, it can quickly respond to issues such as load gaps, equipment overloads, and distributed power backfeeding in grid operation, promptly adjusting the power balance and avoiding power outages caused by local grid overloads or voltage instability. This ensures the safe and stable operation of the grid and achieves multi-level and multi-dimensional resource optimization from the main grid to the distribution network and then to the microgrid. It not only efficiently utilizes existing grid resources but also guides the rational layout and orderly access of distributed energy sources, avoiding the negative impacts of disorderly expansion, and contributing to the optimization and upgrading of the grid structure.
[0039] Example 2 Based on the first embodiment, this embodiment further provides a power balance control system based on main distribution micro-coordination, including an acquisition module, a data processing module, a multi-level adjustable capability aggregation module, and a strategy generation module; The acquisition module is used to connect the power system's distribution network and microgrid, and establish topology splicing relationships covering equipment across voltage levels, data across business systems, and across management department levels; The data processing module is used to acquire real-time user resource data, aggregate the real-time user resource data from bottom to top according to the topology splicing relationship to the station area, form a basic dataset across management departments, and calculate the user's adjustable capacity PU and adjustable capacity PD based on the aggregated basic dataset. The multi-level adjustable capacity aggregation module is used to aggregate user adjustable capacity and adjustable capacity data to the power system's distribution areas, forming adjustable capacity across management departments; The strategy generation module is used to generate primary-secondary-micro-coordinated adjustment strategies based on the adjustable capabilities of each management department; based on the generated primary-secondary-micro-coordinated adjustment strategies, the strategies are decomposed and executed layer by layer from top to bottom in the topology splicing relationship; the execution results are fed back and tracked layer by layer upwards; and for cases where the strategies are not fully executed, the strategies are adjusted and additional executions are performed in a timely manner.
[0040] This embodiment also provides a computer device applicable to the power balance control method based on master-distributor-micro-coordination, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the power balance control method based on master-distributor-micro-coordination proposed in the above embodiment.
[0041] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.
[0042] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the power balance control method based on master-distributor-micro-coordination as proposed in the above embodiments.
[0043] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.
[0044] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the present invention.
Claims
1. A power balance control method based on master-distributor-micro-coordination, characterized in that: Includes the following steps, Connect the power system's distribution network and microgrid, and establish a topology that covers equipment across voltage levels, data across business systems, and management levels; Acquire real-time user resource data and aggregate it from bottom to top to the station area according to the topology splicing relationship to form a basic dataset across management departments. Based on the aggregated basic dataset, calculate the user's up-adjustable capacity (PU) and down-adjustable capacity (PD). Data on users' adjustable and de-adjustable capabilities are aggregated to the distribution areas of the power system to form adjustable capabilities across management departments; Based on the adjustable capabilities of each management department, a primary-secondary-micro collaborative adjustment strategy is generated; Based on the generated primary-secondary-micro collaborative adjustment strategy, the execution is decomposed and implemented layer by layer from top to bottom in the topology splicing relationship; The execution results are fed back and tracked up layer by layer. For cases where execution is not fully completed, the strategy is adjusted in a timely manner and additional execution is carried out.
2. The power balance control method based on main-distributor-micro-coordination as described in claim 1, characterized in that: The topology splicing relationship includes resources, users, meter boxes, transformer areas, feeders, substations, county companies, municipal companies, and provincial companies; Among them, resources, users, and data boxes are acquired by the marketing system; The distribution area, feeder, substation, county company, municipal company, and provincial company are obtained from the PMS system; The topology splicing relationship is implemented in the power distribution cloud master station.
3. The power balance control method based on main-distribution-micro-coordination as described in claim 2, characterized in that: The steps for calculating a user's upside and downside capabilities include: Based on the aggregated base dataset, the adjustable capacity PU and adjustable capacity PD of a single user are calculated according to the user's adjustable capacity and adjustable capacity functions. The functions representing the user's adjustable and de-adjustable capabilities are as follows: ； ； In the formula, PU represents the adjustable capacity per unit. DG Distributed power sources have an upscalability capability, typically 0; PO ESS P is the maximum power of energy storage discharge. ESS Real-time power for energy storage; PU RS PD represents the adjustable capacity of flexible loads, PD represents the real-time power of flexible loads, and PD represents the adjustable capacity of a single household. DG Distributed power sources can be downgraded to provide real-time power output; PI ESS For maximum charging power of energy storage, P ESS Real-time power of energy storage; PD RS The adjustable capacity for flexible loads is 0.
4. The power balance control method based on main-distributor-micro-coordination as described in claim 3, characterized in that: The method for generating the master-supplier micro-cooperative regulation strategy includes, Based on the adjustable capabilities at each level, a coordinated adjustment strategy for the main grid, distribution network, and microgrid is generated for different levels of main grid, distribution network, and microgrid in scenarios such as load gaps, equipment overload, and distributed power backfeed.
5. The power balance control method based on main-distributor-micro-coordination as described in claim 4, characterized in that: The load gap is initiated by the main grid strategy, which prioritizes main grid resources and then distributes the remaining adjustment data to the distribution network according to the target values of district and county companies. In the scenario of equipment overload or distributed power backfeed, the target values are distributed to the microgrid according to the target values at the distribution area or user level.
6. The power balance control method based on master-distributor micro-coordination as described in claim 5, characterized in that: The steps of the decomposition execution include, When dealing with load gaps or equipment overloads, the strategy is decomposed into district and county target values and then sent to the distribution automation system through the main grid's resource adjustment capabilities. The distribution automation system then decomposes the strategy into the flexible resources of the company-level assets through the operator's adjustment method, and then into user-side resources. The target values are then sent to the new load management system at the user level, and the new load management system carries out resource-level decomposition and execution.
7. The power balance control method based on main-distributor-micro-coordination as described in claim 6, characterized in that: The execution of policies initiated by the main network or distribution network is carried out on the microgrid side. The execution results are fed back and tracked up layer by layer. If the execution results are not executed or partially executed and abnormal events cannot be completely handled, the policy is adjusted, decomposed layer by layer and additional execution is carried out.
8. A power balance control system based on master-distributor micro-coordination, used to implement the power balance control method based on master-distributor micro-coordination as described in any one of claims 1 to 7, characterized in that: It includes an acquisition module, a data processing module, a multi-level adjustable capability aggregation module, and a strategy generation module; The acquisition module is used to connect the power system's distribution network and microgrid, and establish topology splicing relationships covering equipment across voltage levels, data across business systems, and across management department levels; The data processing module is used to acquire real-time user resource data, aggregate the real-time user resource data from bottom to top according to the topology splicing relationship to the station area, form a basic dataset across management departments, and calculate the user's adjustable capacity PU and adjustable capacity PD based on the aggregated basic dataset. The multi-level adjustable capacity aggregation module is used to aggregate user adjustable capacity and adjustable capacity data to the power system's distribution areas, forming adjustable capacity across management departments; The strategy generation module is used to generate primary-secondary-micro-coordinated adjustment strategies based on the adjustable capabilities of each management department; and to decompose and execute these strategies layer by layer from top to bottom in the topology splicing relationship. The execution results are fed back and tracked up layer by layer. For cases where execution is not fully completed, the strategy is adjusted in a timely manner and additional execution is carried out.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the power balance control method based on master-distributor micro-coordination as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the power balance control method based on primary-secondary-micro cooperative operation as described in any one of claims 1 to 7.