Microgrid equivalent aggregation method and system based on maximized autonomous regulation and control operation

Abstract

The invention belongs to the technical field of micro-grid optimization scheduling, and provides a micro-grid equivalent aggregation method and system based on maximized autonomous regulation and control operation, which considers photovoltaic, energy storage and adjustable load micro-grids to perform maximized autonomous operation. The internal self-sufficiency is realized as much as possible to reduce the dependence on the power purchase of the superior power grid, and the support is provided for the superior power grid to sell the surplus power when the electric quantity is surplus. And meanwhile, performing resource aggregation on the micro-grid by using an aggregation method to obtain an equivalent power unit and an aggregation energy storage unit, and reporting an electricity purchasing and selling plan of the micro-grid and parameter state information and a charging and discharging plan of aggregation energy storage for flexible scheduling of a superior power grid.

Description

Technical Field

[0001] The present invention belongs to the technical field of microgrid optimization and dispatching, and in particular relates to a microgrid equivalent aggregation method and system based on maximizing autonomous control operation. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Against the backdrop of global environmental degradation, the rapid development of distributed power sources represented by wind power and photovoltaics has led to a decrease in the number and proportion of synchronous generators in new power systems, and the flexibility of regulating the power balance of the system has changed from abundant to scarce. This change requires the operation of new power systems to tap into the flexibility and support of various resources on the demand side.

[0004] Microgrids, as an important carrier for demand-side resource aggregation, can also realize the dispatch of various distributed energy sources, and therefore have received widespread attention. The development of microgrid technology, especially in terms of interaction with distribution networks, has become a hot topic in power system research. Microgrids are directly connected to distribution networks. In the grid-connected operation mode, economically coordinated operation and support can be achieved through interaction with distribution networks.

[0005] However, the flexibility and support capacity of resources within the microgrid must first ensure its own needs before it can provide services and support to the external power grid. With the advancement of technology, the application of photovoltaic and storage microgrids is becoming more and more extensive. Photovoltaic and storage microgrids follow the "local generation, local use" model to optimize energy use, optimize resource utilization, maximize power generation efficiency, and clean energy use. This not only reduces the microgrid's dependence on power purchases from the upper power grid, but also sells surplus electricity to the upper power grid to provide support when there is surplus electricity. In the research on microgrid operation optimization technology, most studies consider the operation economy, environmental protection, reliability, etc. of the microgrid itself. Summary of the invention

[0006] In order to solve the above problems, the present invention proposes a microgrid equivalent aggregation method and system based on maximizing autonomous control operation. The present invention considers maximizing autonomous operation of microgrids containing photovoltaics, energy storage and adjustable loads, and strives to achieve internal self-sufficiency to reduce dependence on power purchases from the upper power grid, and sells surplus electricity to the upper power grid to provide support when there is surplus electricity. At the same time, using the aggregation method, the microgrid resources are aggregated into equivalent power units and aggregated energy storage units, and the microgrid's power purchase and sales plan and the parameter status information of the aggregated energy storage and the charging and discharging plan are reported for flexible scheduling by the upper power grid.

[0007] According to some embodiments, the present invention adopts the following technical solutions: A microgrid equivalent aggregation method based on maximizing autonomous control operation includes the following steps: Obtain historical load data, combine influencing factors, predict photovoltaic and load power in the microgrid, and obtain parameter information of key equipment; Obtain the purchase and sale prices of electricity of the upper power grid at the microgrid connection point, and establish an optimization model for maximizing the autonomous operation of the microgrid in combination with the parameter information of key equipment. The optimization model takes minimizing the purchase and sale revenue and expenditure of the microgrid as the objective function and sets constraints; The optimal dispatching strategy is solved, and the resources of the microgrid are aggregated using equivalent power units and aggregated energy storage units. The microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan are reported.

[0008] As an optional implementation, the key equipment includes photovoltaic equipment, energy storage equipment, fixed loads and adjustable loads.

[0009] As an optional implementation, the objective function is: ; in, It represents the revenue and expenditure of the microgrid’s electricity purchase and sales; , Respectively t The electricity purchase and sales price of the microgrid to the upper power grid during the period; for The power purchase and sales of the microgrid during the time period is positive when purchasing power and negative when selling power; , Represents microgrid t The state of electricity purchase and sale in the time period is a 0-1 variable. Indicates that the microgrid purchases electricity from the upper grid. Indicates that the microgrid sells electricity to the upper grid; is the total number of time periods, A time interval.

[0010] As an optional implementation, the constraint conditions include microgrid power balance constraints, energy storage operation constraints, power purchase and sales state constraints and adjustable load constraints.

[0011] As a further implementation, the microgrid power balance constraint is: ; in, Photovoltaic exist Active power in the time period; , They represent the discharge and charge power of energy storage i in period t respectively; represents the active power of fixed load i in period t; represents the active power of adjustable load i in period t; is the total number of photovoltaics; is the total amount of energy storage; is the total number of fixed loads; is the total number of adjustable loads.

[0012] As a further implementation method, the energy storage operation constraints include operation constraints under the energy storage charging and discharging state, including charging and discharging power constraints, charging and discharging state constraints, energy storage charge state constraints and upper and lower limit constraints, and initial and final charge state consistency constraints.

[0013] As a further implementation method, the power purchase and sale status constraint is that the microgrid cannot purchase and sell electricity to the upper-level power grid at the same time; the adjustable load constraints include upper and lower limit constraints of the load, climbing constraints, total power unchanged within a scheduling cycle, and transfer number constraints.

[0014] As an optional implementation method, the process of solving the optimal dispatching strategy and aggregating resources of the microgrid using equivalent power units and aggregated energy storage units includes: Solve the mixed integer linear programming problem to obtain the optimal dispatch strategy for the microgrid; Equivalent power units and aggregated energy storage units are used to aggregate resources in microgrids, where the equivalent power unit is an aggregated unit of photovoltaic new energy and loads; According to the microgrid's purchase and sale power at different times in the microgrid's optimal dispatching strategy, the charge status information of each energy storage and the charging and discharging power are used to draw curves, determine the microgrid's purchase and sale plan, and the state parameter information and charging and discharging plan of the aggregated energy storage unit, and report them to the superior power grid.

[0015] A microgrid equivalent aggregation system based on maximum autonomous control operation, comprising: The data acquisition module is configured to acquire historical load data, predict the photovoltaic and load power in the microgrid in combination with influencing factors, and acquire parameter information of key equipment; The optimization module is configured to obtain the purchase and sale prices of electricity of the upper power grid at the microgrid connection point, and establish an optimization model for maximizing the autonomous operation of the microgrid in combination with the parameter information of key equipment. The optimization model takes minimization of the purchase and sale revenue and expenditure of the microgrid as the objective function, and comprehensively considers power balance constraints, energy storage operation constraints, purchase and sale state constraints, and adjustable load constraints; The aggregation scheduling module is configured to solve the optimal scheduling strategy, use equivalent power units and aggregated energy storage units to aggregate the resources of the microgrid, and report the microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan.

[0016] An electronic device comprises a memory and a processor, and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps in the above method are completed.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention can improve the autonomy of the microgrid, achieve maximum self-sufficiency of internal electricity by optimizing the operation strategy of the microgrid, and reduce the dependence on electricity from the upper power grid.

[0018] 2. The present invention can enhance economic benefits. When the microgrid has surplus electricity, the excess electricity can be sold to the upper-level power grid, thereby bringing economic benefits to the microgrid and providing power support for the upper-level power grid.

[0019] 3. The present invention can optimize the information reporting mechanism and adopt a resource aggregation method to report key data such as the microgrid's power purchase and sales plan, as well as the parameter status information and charging and discharging plan of the aggregated energy storage unit to the superior power grid, so as to facilitate the superior power grid to carry out effective scheduling and operation management.

[0020] 4. The present invention can achieve a balance between economy, flexibility and reliability, realize an effective combination of economy, flexibility and reliability in microgrid operation, and provide strong support for efficient management of microgrids and stable operation of superior power grids.

[0021] 5. The present invention minimizes the reliance on the upper power grid and maximizes the support for the upper power grid by improving the autonomous operation capability of the microgrid, optimizing power dispatching, and enhancing information interaction with the upper power grid, while ensuring the organic unity of economy, flexibility and reliability. It solves the problem of scarce flexibility in power balance regulation and insufficient flexibility and support of demand-side resources in the new power system.

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0024] Figure 1 is a schematic diagram of a flow chart in an embodiment; Figure 2 is a schematic diagram of a microgrid connected to a distribution network in an embodiment; Figure 3A microgrid equivalent model aggregation diagram in an embodiment. DETAILED DESCRIPTION

[0025] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0026] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0027] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0028] In the absence of conflict, the embodiments in this application and the features in the embodiments may be combined with each other.

[0029] Embodiment 1 A microgrid equivalent aggregation method based on maximizing autonomous control operation, the process is as follows Figure 1 As shown, the following steps are included: Step 1: Predict the photovoltaic and load power in the microgrid, and collect parameter information of photovoltaic, energy storage and other equipment; Step 2: Obtain the purchase and sale electricity prices of the upper power grid at the microgrid connection point, and establish an optimization model for maximizing the autonomous operation of the microgrid; Step 3: Solve to obtain the optimal dispatching strategy, use equivalent power units and aggregated energy storage units to aggregate the resources of the microgrid, and report the microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan to the upper grid.

[0030] In step 1, by considering multiple factors, including weather, time, historical load data, etc., the photovoltaic and load power in the microgrid are predicted on the day before, and the parameter information of each photovoltaic, energy storage and other equipment in the microgrid is collected.

[0031] In step 2, the purchase and sale prices of electricity of the upper power grid at the microgrid connection point are obtained, and an optimization model for maximizing the autonomous operation of the microgrid is established, including the following processes: Step 2-1: Obtain the price information set by the upper power grid to determine the purchase and sale prices of electricity from the upper power grid at the microgrid connection point; Step 2-2: Establish an optimization model for maximizing autonomous operation of the microgrid, including the following processes: Step 2-2-1: Construct the objective function of maximizing autonomous operation as: (1) Where: It represents the revenue and expenditure of microgrid electricity purchase and sale, Yuan; , Respectively t The electricity purchase and sales price of the microgrid to the upper grid during the period, RMB / MWh; for The power purchased and sold by the microgrid during the time period, positive when purchasing power and negative when selling power, MW; , Represents microgrid t The state of electricity purchase and sale in the time period is a 0-1 variable. Indicates that the microgrid purchases electricity from the upper grid. Indicates that the microgrid sells electricity to the upper grid; is the total number of time periods, A time interval.

[0032] Step 2-2-2: The maximum autonomous operation constraint condition constructed by comprehensively considering power balance constraints, energy storage operation constraints, power purchase and sales state constraints, and adjustable load constraints is: Microgrid power balance constraints (2) Where: Photovoltaic exist Active power in the time period, MW; , Respectively represent energy storage exist Discharging and charging power in the time period, MW; Indicates fixed load exist Active power of the time period, MW; Indicates adjustable load exist Active power of the time period, MW; is the total number of photovoltaics; is the total amount of energy storage; is the total number of fixed loads; is the total number of adjustable loads.

[0033] (2) Energy storage operation constraints The operating constraints under the energy storage charging and discharging state include charging and discharging power constraints, charging and discharging state constraints, energy storage state of charge (SOC) constraints and its upper and lower limit constraints, and initial and final SOC consistency constraints.

[0034] (3) (4) (5) Where: , Respectively represent energy storage Maximum discharge power, maximum charging power, MW; , Indicates energy storage exist The discharge and charge status of the time period is a 0-1 variable, where 1 indicates that the energy storage is in the discharge and charge state.

[0035] (6) (7) (8) Where: For energy storage exist SOC of the time period; For energy storage Rated capacity, MWh; and Respectively represent energy storage Charge and discharge efficiency; and Energy storage The minimum and maximum state of charge; and Energy storage SOC at the beginning and end of the scheduling period.

[0036] (3) Constraints on electricity purchase and sales status Considering that the microgrid cannot purchase and sell electricity to the upper grid at the same time, the purchase and sale state constraints are set as follows: (9) (4) Adjustable load constraints The transferable load mainly considers the upper and lower limit constraints of the load, the climbing constraint, the total power unchanged within a scheduling cycle, and the transfer number constraints.

[0037] (10) (11) (12) (13) (14) Where: , Represents transferable load i exist t Baseline load and regulated power for the period, MW; , Represents transferable load i exist t Minimum and maximum transferable loads during the period, MW; , Represents transferable load i exist t The maximum increase and decrease of active power in the time period, MW; Indicates transferable load i exist t The transfer status of the time period is a 0-1 variable, 1 means it is transferred, and 0 means it is not transferred; For transferable load i The maximum number of transfers.

[0038] Step 3 solves the optimal dispatching strategy, uses equivalent power units and aggregated energy storage units to aggregate the resources of the microgrid, and reports the microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan to the upper grid, including the following process: Step 3-1: Solve the mixed integer linear programming problem based on the commercial solver CPLEX and YALMIP toolbox to obtain the optimal dispatch strategy of the microgrid; Step 3-2: Use equivalent power units and aggregated energy storage units to aggregate resources in the microgrid, where the equivalent power unit is an aggregated unit of photovoltaic new energy and load, such as Figure 2 , Figure 3 shown.

[0039] Specifically, they include the following: Step 3-2-1: Based on the Minkowski and calculation, the state model parameters and charging and discharging plan of the aggregated energy storage are: (15) (16) (17) (18) (19) (20) (twenty one) (twenty two) Where: , Respectively represent the maximum charging and discharging power of the aggregated energy storage unit, MW; , Respectively represent the maximum and minimum charge states of the aggregated energy storage unit; represents the rated capacity of the aggregated energy storage unit, MWh; , Respectively represent the aggregated energy storage unit in t The charging and discharging power of the time period, MW; Indicates that the aggregated energy storage unit is t The state of charge during the time period.

[0040] The net power information of the equivalent power unit is: (twenty three) Where: Indicates that the equivalent power unit is t Net output power for the period, MW.

[0041] Step 3-3: The power purchase and sales of the microgrid at different times according to the microgrid optimal dispatching strategy , the state of charge information of each energy storage and charge and discharge power , Draw a curve to determine the microgrid's power purchase and sales plan, as well as the status parameter information and charging and discharging plan of the aggregated energy storage unit, and report it to the upper-level power grid.

[0042] In summary, the present invention transforms the original microgrid's reliance on the power supply of the upper power grid into maximum self-sufficiency through the optimized scheduling of internal resources, thereby reducing the reliance on power purchases from the external power grid; at the same time, when the microgrid has surplus electricity, it can sell the surplus electricity to the upper power grid to provide it with power support. In addition, the present invention adopts an aggregation method to report the microgrid's power purchase and sales plan, as well as the parameter status information and charging and discharging plan of the aggregated energy storage unit to the upper power grid, so that the upper power grid can flexibly schedule and operate. It solves the problem of scarce flexibility in power balance regulation and insufficient flexibility and support of demand-side resources in new power systems, and facilitates the upper power grid to conveniently and flexibly schedule by aggregating resources in the microgrid.

[0043] Embodiment 2 A microgrid equivalent aggregation system based on maximum autonomous control operation, comprising: The data acquisition module is configured to acquire historical load data, predict the photovoltaic and load power in the microgrid in combination with influencing factors, and acquire parameter information of key equipment; The optimization module is configured to obtain the purchase and sale prices of electricity of the upper power grid at the microgrid connection point, and establish an optimization model for maximizing the autonomous operation of the microgrid in combination with the parameter information of key equipment. The optimization model takes minimization of the purchase and sale revenue and expenditure of the microgrid as the objective function, and comprehensively considers power balance constraints, energy storage operation constraints, purchase and sale state constraints, and adjustable load constraints; The aggregation scheduling module is configured to solve the optimal scheduling strategy, use equivalent power units and aggregated energy storage units to aggregate the resources of the microgrid, and report the microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan.

[0044] It can be understood that the above-mentioned units / modules can be separately or completely combined into one or several other units / modules, or one (some) of the units can be further divided into multiple functionally smaller units, which can achieve the same operation without affecting the realization of the technical effects of the embodiments of the present application.

[0045] The above modules of the system are divided based on logical functions. In practical applications, the function of one module can also be implemented by multiple modules, or the functions of multiple modules can be implemented by one module.

[0046] Similarly, in other embodiments of the present application, the system may also include other units / modules. In actual applications, these functions may also be implemented with the assistance of other units, and may be implemented by collaboration of multiple units.

[0047] According to another embodiment of the present application, the system described in this embodiment can be constructed and the method of Embodiment 1 can be implemented by running a computer program (including program code) capable of executing the steps involved in the corresponding method described in Embodiment 1 on a general-purpose computing device such as a computer, which includes processing elements and storage elements such as a central processing unit (CPU), random access memory (RAM), and read-only memory (ROM). The computer program can be recorded on, for example, a computer-readable recording medium, and loaded into the above-mentioned computing device through the computer-readable recording medium and run therein.

[0048] Embodiment 3 This implementation provides an electronic device, which includes a processor, a communication interface, and a computer-readable storage medium, wherein the processor, the communication interface, and the computer-readable storage medium may be connected via a bus or other means.

[0049] Among them, the communication interface is used to receive and send data, the computer-readable storage medium can be stored in the memory of the electronic device, the computer-readable storage medium is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer-readable storage medium.

[0050] A processor (or CPU (Central Processing Unit)) is the computing core and control core of an electronic device, which is suitable for implementing one or more instructions, and specifically suitable for loading and executing one or more instructions to implement corresponding method flows or corresponding functions.

[0051] The processor is configured to execute the steps of the first embodiment.

[0052] Or, the processor is configured to perform the following process: Obtain historical load data, combine influencing factors, predict photovoltaic and load power in the microgrid, and obtain parameter information of key equipment; Obtain the purchase and sale prices of electricity at the microgrid connection point of the upper power grid, and establish an optimization model for maximizing the autonomous operation of the microgrid in combination with the parameter information of key equipment. The optimization model takes minimization of the purchase and sale revenue and expenditure of the microgrid as the objective function, and comprehensively considers power balance constraints, energy storage operation constraints, purchase and sale status constraints, and adjustable load constraints; The optimal dispatching strategy is solved, and the resources of the microgrid are aggregated using equivalent power units and aggregated energy storage units. The microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan are reported.

[0053] It should be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of one or more computer-usable storage media (including but not limited to disk storage, CD - ROM , optical storage, etc.).

[0054] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0055] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0056] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principle of the present invention without creative labor shall be included in the protection scope of the present invention.

Claims

1. A microgrid equivalent aggregation method based on maximizing autonomous control operation, characterized in that: The following steps are involved: Obtain historical load data, combine influencing factors, predict photovoltaic and load power in the microgrid, and obtain parameter information of key equipment; Obtain the purchase and sale prices of electricity of the upper power grid at the microgrid connection point, and establish an optimization model for maximizing the autonomous operation of the microgrid in combination with the parameter information of key equipment. The optimization model takes minimizing the purchase and sale revenue and expenditure of the microgrid as the objective function and sets constraints; The optimal dispatching strategy is solved, and the resources of the microgrid are aggregated using equivalent power units and aggregated energy storage units. The microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan are reported.

2. A microgrid equivalent aggregation method based on maximizing autonomous control operation as claimed in claim 1, characterized in that: The key equipment includes photovoltaic equipment, energy storage equipment, fixed loads and adjustable loads.

3. A microgrid equivalent aggregation method based on maximizing autonomous control operation as claimed in claim 1, characterized in that: The objective function is: ； in, It represents the revenue and expenditure of the microgrid’s electricity purchase and sales; , Respectively t The electricity purchase and sales price of the microgrid to the upper power grid during the period; for The power purchase and sales of the microgrid during the time period is positive when purchasing power and negative when selling power; , Represents microgrid t The state of electricity purchase and sale in the time period is a 0-1 variable. Indicates that the microgrid purchases electricity from the upper grid. Indicates that the microgrid sells electricity to the upper grid; is the total number of time periods, A time interval.

4. A microgrid equivalent aggregation method based on maximizing autonomous control operation as claimed in claim 1, characterized in that: The constraints include microgrid power balance constraints, energy storage operation constraints, power purchase and sales state constraints and adjustable load constraints.

5. A microgrid equivalent aggregation method based on maximizing autonomous control operation as claimed in claim 4, characterized in that: The microgrid power balance constraint is: ； in, Photovoltaic exist Active power in the time period; , They represent the discharge and charge power of energy storage i in period t respectively; represents the active power of fixed load i in period t; represents the active power of adjustable load i in period t; is the total number of photovoltaics; is the total amount of energy storage; is the total number of fixed loads; is the total number of adjustable loads.

6. A microgrid equivalent aggregation method based on maximum autonomous control operation as claimed in claim 4, characterized in that: The energy storage operation constraints include the operation constraints under the energy storage charging and discharging state, including the charging and discharging power constraints, the charging and discharging state constraints, the energy storage charge state constraints and its upper and lower limit constraints, and the consistency constraints of the initial and final charge state.

7. A microgrid equivalent aggregation method based on maximum autonomous control operation as claimed in claim 4, characterized in that: The power purchase and sale state constraint is that the microgrid cannot purchase and sell power to the upper grid at the same time; Adjustable load constraints include upper and lower limit constraints of load, ramp constraints, total power unchanged within a scheduling cycle, and transfer number constraints.

8. A microgrid equivalent aggregation method based on maximum autonomous control operation as claimed in claim 1, characterized in that: The optimal dispatching strategy is solved and the process of aggregating resources of microgrids using equivalent power units and aggregated energy storage units includes: Solve the mixed integer linear programming problem to obtain the optimal dispatch strategy for the microgrid; Equivalent power units and aggregated energy storage units are used to aggregate resources in microgrids, where the equivalent power unit is an aggregated unit of photovoltaic new energy and loads; According to the microgrid's purchase and sale power at different times in the microgrid's optimal dispatching strategy, the charge status information of each energy storage and the charging and discharging power are used to draw curves, determine the microgrid's purchase and sale plan, and the state parameter information and charging and discharging plan of the aggregated energy storage unit, and report them to the superior power grid.

9. A microgrid equivalent aggregation system based on maximum autonomous control operation, characterized in that: include: The data acquisition module is configured to acquire historical load data, predict the photovoltaic and load power in the microgrid in combination with influencing factors, and acquire parameter information of key equipment; The optimization module is configured to obtain the purchase and sale prices of electricity of the upper power grid at the microgrid connection point, and establish an optimization model for maximizing the autonomous operation of the microgrid in combination with the parameter information of key equipment. The optimization model takes minimization of the purchase and sale revenue and expenditure of the microgrid as the objective function, and comprehensively considers power balance constraints, energy storage operation constraints, purchase and sale state constraints, and adjustable load constraints; The aggregation scheduling module is configured to solve the optimal scheduling strategy, use equivalent power units and aggregated energy storage units to aggregate the resources of the microgrid, and report the microgrid's power purchase and sales plan, the state parameter information of the aggregated energy storage unit, and the charging and discharging plan.

10. An electronic device, characterized in that: The method comprises a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the steps in the method according to any one of claims 1 to 8 are completed.

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