Micro-grid edge scheduling method, device, equipment, medium and product

Abstract

The invention discloses a micro-grid edge scheduling method, device and equipment, a medium and a product, and relates to the technical field of new energy and intelligent power grids. According to the scheme, an MVC mode is adopted, a typical light storage charging and discharging integrated new energy system is abstracted, an element control model of each project is established in advance, meanwhile, different numbers of different types of devices are generated according to system construction requirements, and then unified scheduling adaptation of different logics is completed. And when there is a power adjustment demand for the system, determining a total power adjustment amount, and decomposing the total power adjustment amount into power adjustment amounts corresponding to the device models in the aggregation model based on the aggregation model, so that the device models release adjustment resources to the system according to the corresponding power adjustment amounts. The project element control model is generated in advance, and the standardized scheduling logic is unified, so that the method has universality; and for customized logic, a plug-in scheme can be adopted to carry out expansion compatibility, so that the development workload is reduced, and the logic development complexity is reduced.

Description

Technical Field

[0001] The present application relates to the field of new energy and smart grid technology, and in particular to a microgrid edge scheduling method, device, equipment, medium and product. Background Art

[0002] With the rapid development of new energy electric vehicles, photovoltaics and energy storage technologies, the integrated photovoltaic storage charging and discharging new energy system is entering a stage of vigorous development. This system integrates multiple elements such as AC side energy storage, photovoltaics, vehicle-to-grid (V2G) piles and DC side energy storage, photovoltaics, V2G piles, and connects to a remote cloud platform to achieve efficient use and management of energy. It not only improves energy utilization efficiency, but also promotes the development and application of renewable energy.

[0003] However, as the types of access equipment and the complexity of equipment characteristics continue to increase, the existing control technology logic for integrated photovoltaic storage and charging and discharging new energy systems has become increasingly cumbersome and lacks universality. For specific projects, the system control logic needs to be independently developed and tested and verified, which not only makes engineering implementation difficult, but also prolongs the development cycle, makes it difficult to conduct sufficient testing, and makes it difficult to ensure the economy and real-time operation of the system. At the same time, in the actual project implementation, due to the uncertainty of the type and number of elements built by the customer, the system control logic must be customized for development and testing according to the specific project, and the logic needs to be constantly adjusted during operation, further exacerbating the complexity of these problems.

[0004] In view of the above problems, how to solve the lack of universality of the current control technology for integrated photovoltaic storage and charging and discharging new energy systems is an urgent problem that needs to be solved by technicians in this field. Summary of the invention

[0005] The purpose of this application is to provide a microgrid edge scheduling method, device, equipment, medium and product to solve the problem of lack of universality in the current control technology of integrated photovoltaic storage charging and discharging new energy systems.

[0006] In order to solve the above technical problems, the present application provides a microgrid edge scheduling method, which is applied to an integrated photovoltaic storage charging and discharging new energy system; the method comprises:

[0007] Monitoring the operating status of the photovoltaic storage charging and discharging integrated new energy system, and judging whether there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system according to the operating status;

[0008] If yes, determining the total amount of power regulation according to the operating state;

[0009] Based on the total allowable power generation and total allowable power consumption corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model; wherein the device model is a model that characterizes the allowable power consumption and allowable power generation of the device; the aggregation model is a model that characterizes the total allowable power consumption and total allowable power generation of all the devices of the same type;

[0010] Based on each of the power regulation amounts, regulation resources are released to the integrated photovoltaic, storage, charging and discharging new energy system through each of the device models.

[0011] On the one hand, monitoring the operating state of the photovoltaic storage charging and discharging integrated new energy system, and judging whether there is a power regulation demand for the photovoltaic storage charging and discharging integrated new energy system according to the operating state, including:

[0012] Monitor the grid connection point power and transformer rated power of the photovoltaic storage charging and discharging integrated new energy system;

[0013] Communicate with each of the devices in real time to determine the system power generation allowable power and system power consumption allowable power of the integrated photovoltaic storage charging and discharging new energy system;

[0014] According to the grid connection point power and the rated power of the transformer, it is judged whether a transformer reverse current event or a transformer overload event occurs in the photovoltaic storage charging and discharging integrated new energy system, and / or a power adjustment instruction is received; wherein the power adjustment instruction is generated based on the system power generation allowable power and / or the system power consumption allowable power;

[0015] If so, it is confirmed that there is a need for power regulation of the integrated photovoltaic, storage, charging and discharging new energy system.

[0016] On the other hand, determining the total amount of power adjustment according to the operating state includes:

[0017] Obtaining the rated active power of the transformer and the real-time power of the transformer of the integrated photovoltaic storage charging and discharging new energy system;

[0018] When receiving the power adjustment instruction, determining the total power adjustment amount according to the power adjustment instruction, the rated active power of the transformer and the real-time power of the transformer;

[0019] When it is confirmed that the transformer overload event occurs, determining the total power adjustment amount according to the rated active power of the transformer and the real-time power of the transformer;

[0020] When the transformer reverse current event is confirmed to occur, the total power regulation amount is determined according to the real-time power of the transformer.

[0021] On the other hand, the device model includes a photovoltaic model, an energy storage model, an electric vehicle model and a load model; correspondingly, the construction process of the device model includes:

[0022] Obtain PV fault status, PV current real-time power, PV rated power and PV power adjustment step;

[0023] Constructing the photovoltaic model according to the photovoltaic fault state, the photovoltaic current real-time power, the photovoltaic rated power and the photovoltaic power adjustment step;

[0024] Obtain energy storage fault status, energy storage battery charging limit power, energy storage battery discharging limit power, energy storage converter rated power and energy storage battery rated power;

[0025] Constructing the energy storage model according to the energy storage fault state, the energy storage battery charging limit power, the energy storage battery discharging limit power, the energy storage converter rated power and the energy storage battery rated power;

[0026] Obtain electric vehicle fault status, vehicle charging power requirement, vehicle discharge power requirement and charging pile rated power;

[0027] Constructing the electric vehicle model according to the electric vehicle fault state, the vehicle charging demand power, the vehicle discharging demand power and the charging pile rated power;

[0028] Obtain load shedding status and load rated power;

[0029] The load model is constructed according to the load shedding state and the load rated power.

[0030] On the other hand, the construction process of the aggregation model includes:

[0031] Aggregating the photovoltaic electricity allowable power of each photovoltaic model and aggregating the photovoltaic power generation allowable power of each photovoltaic model to generate a photovoltaic aggregation model;

[0032] Aggregating the energy storage battery power consumption allowable power of each energy storage model, and aggregating the energy storage battery power generation allowable power of each energy storage model, so as to generate an energy storage aggregation model;

[0033] Aggregating the vehicle electricity consumption allowable power of each of the electric vehicle models and aggregating the vehicle power generation allowable power of each of the electric vehicle models to generate an electric vehicle aggregation model;

[0034] The load power consumption allowable of each load model is aggregated to generate a load aggregation model.

[0035] On the other hand, based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model, including:

[0036] Acquire the adjustment priority of each of the aggregation models, and arrange the aggregation models in descending order according to the corresponding adjustment priority to generate a sequence of aggregation models to be selected;

[0037] Selecting the first aggregation model in the aggregation model candidate sequence as the aggregation model to be selected;

[0038] Determining whether a combination of the to-be-selected aggregation models meets a power regulation requirement according to the total power regulation amount;

[0039] If not, selecting the next aggregation model in the aggregation model candidate sequence as the new aggregation model to be selected, and returning to the step of judging whether the combination of the aggregation models to be selected meets the power regulation requirement according to the total power regulation amount;

[0040] If yes, each of the candidate aggregation models is used as a target aggregation model;

[0041] Based on the total allowed power of power generation and the total allowed power of power consumption corresponding to each of the target aggregation models, the total power regulation amount is decomposed into power regulation amounts corresponding to each of the device models in each of the target aggregation models.

[0042] On the other hand, after confirming that there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system, it also includes:

[0043] Determining whether the transformer reverse current event or the transformer overload event occurs in the photovoltaic storage charging and discharging integrated new energy system, and receiving the power adjustment instruction at the same time;

[0044] If so, the transformer reverse current event or the transformer overload event is ignored, and only the power adjustment instruction is processed.

[0045] In order to solve the above technical problems, the present application also provides a microgrid edge dispatching device, which is applied to an integrated photovoltaic storage charging and discharging new energy system; the device comprises:

[0046] A monitoring and judging module, used for monitoring the operating state of the photovoltaic storage charging and discharging integrated new energy system, and judging whether there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system according to the operating state; if so, triggering a determining module;

[0047] The determining module is used to determine the total amount of power adjustment according to the operating state;

[0048] A power decomposition module, for decomposing the total power regulation amount into power regulation amounts corresponding to each device model in the aggregation model based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model; wherein the device model is a model that characterizes the power consumption allowable power and the power generation allowable power of the device; and the aggregation model is a model that characterizes the total power consumption allowable power and the total power generation allowable power of all the devices of the same type;

[0049] A power release module is used to release the regulation resources to the integrated photovoltaic storage and charging / discharging new energy system through each of the equipment models based on each of the power regulation amounts.

[0050] In order to solve the above technical problems, the present application also provides a microgrid edge scheduling device, including:

[0051] Memory for storing computer programs;

[0052] A processor is used to implement the steps of the above-mentioned microgrid edge scheduling method when executing the computer program.

[0053] In order to solve the above technical problems, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned microgrid edge scheduling method are implemented.

[0054] In order to solve the above technical problems, the present application also provides a computer program product, including a computer program or instructions, which implement the steps of the above-mentioned microgrid edge scheduling method when executed by a processor.

[0055] The microgrid edge scheduling method provided in this application is applied to an integrated photovoltaic, storage, charging and discharging new energy system. The method specifically monitors the operating status of the integrated photovoltaic, storage, charging and discharging new energy system, and determines whether there is a power regulation demand for the integrated photovoltaic, storage, charging and discharging new energy system based on the operating status; if so, the total power regulation amount is determined based on the operating status; based on the total power generation allowable power and total power consumption allowable power corresponding to the aggregation model, the total power regulation amount is decomposed into the power regulation amount corresponding to each device model in the aggregation model; wherein the device model is a model that characterizes the power consumption allowable power and power generation allowable power of the device; the aggregation model is a model that characterizes the total power consumption allowable power and total power generation allowable power of all devices of the same type; based on each power regulation amount, the regulation resources are released to the integrated photovoltaic, storage, charging and discharging new energy system through each device model.

[0056] It can be seen that this solution specifically adopts the Model-View-Controller (MVC) mode to abstract the typical integrated photovoltaic storage charging and discharging new energy system, and pre-establish the control model of each project element, that is, the model of each device in the system; at the same time, different quantities of different types of equipment are generated according to the system construction requirements, and then the unified scheduling adaptation of different logics is completed. When there is a demand for power regulation of the system, the total power regulation amount is determined, and the total power regulation amount is decomposed into the power regulation amount corresponding to each device model in the aggregation model based on the aggregation model, so that each device model releases the regulation resources to the integrated photovoltaic storage charging and discharging new energy system according to the corresponding power regulation amount. Since this solution pre-generates the project element control model and unifies the standardized scheduling logic, it is universal; at the same time, a plug-in solution can be used for expansion and compatibility for customized logic, which reduces the development workload and the complexity of development logic.

[0057] In addition, the present application also provides a microgrid edge scheduling device, equipment, medium and product with the same effect as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0059] FIG1 is a flow chart of a microgrid edge scheduling method provided in an embodiment of the present application;

[0060] FIG2 is a schematic diagram of edge scheduling layering provided in an embodiment of the present application;

[0061] FIG3 is a schematic diagram of a microgrid edge scheduling device provided in an embodiment of the present application;

[0062] FIG4 is a schematic diagram of a microgrid edge scheduling device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0064] The core of this application is to provide a microgrid edge scheduling method, device, equipment, medium and product to solve the problem of lack of universality in the current control technology of integrated photovoltaic storage charging and discharging new energy systems.

[0065] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0066] The integrated photovoltaic storage and charging and discharging new energy system is an efficient energy utilization model. It integrates elements such as distributed photovoltaic power generation systems, energy storage systems, electric vehicle charging and discharging, electric vehicle battery testing, and energy management systems, and connects to a remote cloud platform to achieve efficient use and management of energy.

[0067] At present, with the increasing complexity of the types of access equipment and equipment characteristics, the existing control technology logic for integrated photovoltaic, storage, charging and discharging new energy systems has become increasingly cumbersome and lacks universality. For specific projects, the system control logic needs to be independently developed and tested and verified, which not only makes engineering implementation difficult, but also prolongs the development cycle, makes it difficult to conduct sufficient testing, and makes it difficult to ensure the economy and real-time operation of the system. At the same time, in the actual project implementation, due to the uncertainty of the type and number of elements built by the customer, the system control logic must be customized according to the specific project. Development and testing, the need to constantly adjust the logic during operation further exacerbates the complexity of these problems. Therefore, in order to solve the above problems, the present application provides a microgrid edge scheduling method, which is applied to integrated photovoltaic, storage, charging and discharging new energy systems.

[0068] FIG1 is a flow chart of a microgrid edge scheduling method provided in an embodiment of the present application. As shown in FIG1 , the method includes:

[0069] S10: Monitor the operating status of the integrated photovoltaic, storage, charging and discharging new energy system, and determine whether there is a need for power regulation of the integrated photovoltaic, storage, charging and discharging new energy system based on the operating status; if so, proceed to step S11.

[0070] S11: Determine the total amount of power adjustment according to the operating status.

[0071] Specifically, firstly, the operating status of the integrated photovoltaic, storage and charging / discharging new energy system is continuously monitored, including but not limited to acquiring the power data of the grid connection point through communication with the electric meter or real-time sampling calculation, as well as real-time communication and interaction with each device to calculate the system power generation and power consumption. According to the operating status, it is determined whether there is a need for power regulation of the integrated photovoltaic, storage and charging / discharging new energy system.

[0072] If there is no need for power regulation of the integrated photovoltaic, storage and charging / discharging new energy system, the operating status of the integrated photovoltaic, storage and charging / discharging new energy system is continuously monitored. If there is a need for power regulation of the integrated photovoltaic, storage and charging / discharging new energy system, the total amount of power regulation is determined according to the operating status.

[0073] It should be noted that the specific method for determining whether there is a power regulation demand for the integrated photovoltaic storage charging and discharging new energy system is not limited in this embodiment. For example, when a power regulation instruction is received, it is considered that there is a power regulation demand; or when the system transformer is in an abnormal working state, it is considered that there is a power regulation demand, etc., depending on the specific implementation situation. In addition, the specific process for determining the total amount of power regulation is not limited in this embodiment.

[0074] S12: Based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model.

[0075] The device model is a model that characterizes the allowable power consumption and the allowable power generation of the device; the aggregation model is a model that characterizes the total allowable power consumption and the total allowable power generation of all devices of the same type.

[0076] Furthermore, based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model.

[0077] FIG2 is a schematic diagram of edge scheduling layering provided by an embodiment of the present application. As shown in FIG2, the present application draws on the MVC mode, abstracts the typical system, establishes each element model (Model), and generates different numbers of different types of elements (View) according to the construction requirements, and completes the unified scheduling adaptation (Controller) of different logics. Among them, the device model is a model that characterizes the power consumption allowable power and power generation allowable power of the device, which can reflect the power regulation capability of the device; each device model constitutes the device model layer. The aggregation model is a model that characterizes the total power consumption allowable power and total power generation allowable power of all devices of the same type, which can reflect the total power regulation capability of all devices of the same type; each aggregation model constitutes the aggregation model layer. The operation scheduling layer has a variety of standard scheduling modes according to the different control requirements of the common system topology forms, namely single grid connection point topology, multi-grid connection point topology, hierarchical transformer topology and multi-transformer mutual assistance topology. The overall control principles of different standard scheduling modes are the same, and power regulation control is performed in the manner of step S10 and step S11.

[0078] S13: Based on each power regulation amount, release the regulation resources to the integrated photovoltaic storage and charging / discharging new energy system through each device model.

[0079] Finally, based on each power regulation amount, each device model releases regulation resources to the integrated photovoltaic storage charging and discharging new energy system until the power regulation demand is met. It can be understood that the device model corresponds to the actual physical equipment on site, abstracts the characteristics of the equipment (including power change rate, response time, and operating status), can accurately evaluate the power consumption / discharge capacity of the equipment, and simplify the upper-level scheduling input.

[0080] In this embodiment, the MVC mode is specifically adopted to abstract the typical integrated photovoltaic, storage, charging and discharging new energy system, and pre-establish the control model of each project element, that is, the model of each device in the system; at the same time, different quantities of different types of equipment are generated according to the system construction requirements, and then the unified scheduling adaptation of different logics is completed. When there is a demand for power regulation of the system, the total power regulation amount is determined, and based on the aggregation model, the total power regulation amount is decomposed into the power regulation amount corresponding to each device model in the aggregation model, so that each device model releases the regulation resources to the integrated photovoltaic, storage, charging and discharging new energy system according to the corresponding power regulation amount. Since this solution pre-generates the project element control model and unifies the standardized scheduling logic, it is universal; at the same time, a plug-in solution can be used for expansion and compatibility for customized logic, which reduces the development workload and the complexity of development logic.

[0081] Based on the above embodiments, in some embodiments, the operating state of the integrated photovoltaic storage charging and discharging new energy system is monitored, and whether there is a need for power regulation of the integrated photovoltaic storage charging and discharging new energy system according to the operating state includes:

[0082] S101: Monitor the grid connection point power and transformer rated power of the integrated photovoltaic storage charging and discharging new energy system;

[0083] S102: Communicate with each device in real time to determine the system power generation allowable power and system power consumption allowable power of the integrated photovoltaic storage charging and discharging new energy system;

[0084] S103: judging whether a transformer reverse current event or transformer overload event occurs in the photovoltaic storage charging and discharging integrated new energy system according to the grid connection point power and the transformer rated power, and / or receiving a power adjustment instruction; wherein the power adjustment instruction is generated based on the system power generation allowable power and / or the system power consumption allowable power; if so, proceeding to step S104;

[0085] S104: Confirm that there is a need for power regulation of the integrated photovoltaic, storage, charging and discharging new energy system.

[0086] In order to determine whether there is a need for power regulation of the system, in specific implementation, it is necessary to monitor the grid connection point power and transformer rated power of the integrated photovoltaic storage charging and discharging new energy system, and communicate with each device in real time to determine the system power generation allowable power and system power consumption allowable power of the integrated photovoltaic storage charging and discharging new energy system. It is understandable that the grid connection point power can be obtained by communicating with the meter or real-time sampling calculation.

[0087] Furthermore, based on the grid connection point power and the rated power of the transformer, it is determined whether a transformer reverse current event or a transformer overload event occurs in the integrated photovoltaic storage and charging / discharging new energy system, and / or a power adjustment instruction is received. It should be noted that the power adjustment instruction is generated based on the system's allowable power generation and / or the system's allowable power consumption. Specifically, after the system's allowable power generation and the system's allowable power consumption are calculated through real-time communication with each device, the system's allowable power generation and the system's allowable power consumption can be uploaded to the cloud platform, which performs a wider range of scheduling capacity calculations and decompositions based on the system's allowable power generation and / or the system's allowable power consumption. At the same time, when the power adjustment demand is triggered, it is convenient to decompose and calculate the power adjustment amount of each model.

[0088] If it is confirmed that no transformer reverse current event or transformer overload event has occurred, and no power adjustment command has been received, it is considered that there is no power adjustment demand at present. If it is confirmed that a transformer reverse current event or transformer overload event has occurred, and / or a power adjustment command has been received, it is confirmed that there is a power adjustment demand for the integrated photovoltaic storage charging and discharging new energy system.

[0089] It should be noted that although the transformer reverse current event or transformer overload event, and / or receiving a power regulation instruction all indicate the existence of a power regulation demand, the total amount of power regulation corresponding to different events is different. In this embodiment, there is no restriction on the method for determining the total amount of power regulation under different events.

[0090] In this embodiment, by monitoring the grid connection point power and transformer rated power of the integrated photovoltaic, storage, charging and discharging new energy system, real-time communication is carried out with each device to determine the system power generation allowable power and system power consumption allowable power of the integrated photovoltaic, storage, charging and discharging new energy system; if it is confirmed according to the grid connection point power and the transformer rated power that a transformer reverse current event or a transformer overload event occurs in the system, and / or a power adjustment instruction is received, it is confirmed that there is a power adjustment demand for the integrated photovoltaic, storage, charging and discharging new energy system, and the power adjustment demand is judged, so as to facilitate the subsequent entry into the system power adjustment process.

[0091] Based on the above embodiments, in some embodiments, determining the total amount of power adjustment according to the operating state includes:

[0092] S110: Obtain the rated active power and real-time power of the transformer of the photovoltaic storage charging and discharging integrated new energy system;

[0093] S111: When it is confirmed that the power adjustment instruction has been received, the total power adjustment amount is determined according to the power adjustment instruction, the rated active power of the transformer and the real-time power of the transformer;

[0094] S112: When it is confirmed that a transformer overload event occurs, determine the total amount of power regulation according to the rated active power of the transformer and the real-time power of the transformer;

[0095] S113: When it is confirmed that a transformer reverse current event occurs, the total amount of power regulation is determined according to the real-time power of the transformer.

[0096] In order to determine the total amount of power regulation, it is first necessary to obtain the rated active power and real-time power of the transformer of the integrated photovoltaic storage charging and discharging new energy system. The following is an explanation of how to determine the total amount of power regulation in different situations:

[0097] (1) When it is confirmed that the power adjustment command has been received, the total power adjustment amount is determined according to the power adjustment command, the rated active power of the transformer and the real-time power of the transformer. The specific formula is as follows:

[0098] ;

[0099] in, is the total amount of power regulation, is the power regulation instruction, is the rated active power of the transformer, is the real-time power of the transformer.

[0100] (2) When a transformer overload event is confirmed, the total power regulation amount is determined based on the transformer rated active power and the transformer real-time power. The specific formula is as follows:

[0101] ;

[0102] in, is the total amount of power regulation, is the rated active power of the transformer, is the real-time power of the transformer.

[0103] (3) When a transformer reverse current event is confirmed, the total power regulation amount is determined based on the transformer real-time power. The specific formula is as follows:

[0104] ;

[0105] in, is the total amount of power regulation, is the real-time power of the transformer.

[0106] In summary, the total amount of power regulation under different system conditions is determined.

[0107] It is understandable that since the integrated photovoltaic storage charging and discharging new energy system integrates elements such as distributed photovoltaic power generation system, energy storage system, electric vehicle charging and discharging, electric vehicle battery detection and energy management system, there are four types of equipment models under the system, namely photovoltaic model, energy storage model, electric vehicle model and load model. The construction process of each equipment model is explained below. It should be noted that in the following model, the power consumption is positive and the power generation is negative.

[0108] (1) Photovoltaic model;

[0109] S114: Obtaining the photovoltaic fault status, the current real-time photovoltaic power, the photovoltaic rated power and the photovoltaic power adjustment step.

[0110] S115: Constructing a photovoltaic model according to the photovoltaic fault state, the current real-time photovoltaic power, the photovoltaic rated power and the photovoltaic power adjustment step.

[0111] Specifically, the photovoltaic model refers to the collection and abstraction of photovoltaic panels, photovoltaic inverters, and photovoltaic incoming power meters. In order to build the photovoltaic model, it is necessary to obtain the photovoltaic fault status, photovoltaic current real-time power, photovoltaic rated power, and photovoltaic power adjustment step. The photovoltaic model is further constructed based on the photovoltaic fault status, photovoltaic current real-time power, photovoltaic rated power, and photovoltaic power adjustment step.

[0112] The photovoltaic model is specifically composed of the photovoltaic power consumption allowable power and photovoltaic power generation allowable power. The formula is as follows:

[0113] ;

[0114] ;

[0115] in, is the permissible power of photovoltaic power, is the allowed power of photovoltaic power generation, It is the photovoltaic fault status, 1 means fault, 0 means normal; is the current real-time power of photovoltaic; is the photovoltaic rated power; is the photovoltaic power adjustment step size.

[0116] (2) Energy storage model;

[0117] S116: Obtaining energy storage fault status, energy storage battery charging limit power, energy storage battery discharging limit power, energy storage converter rated power, and energy storage battery rated power.

[0118] S117: Constructing an energy storage model according to the energy storage fault state, the energy storage battery charging limit power, the energy storage battery discharging limit power, the energy storage converter rated power and the energy storage battery rated power.

[0119] Specifically, the energy storage model refers to the collection of energy storage batteries, energy storage converters (PCS) and energy storage incoming meters including the battery management system (BMS). In order to build the energy storage model, it is necessary to obtain the energy storage fault state, energy storage battery charging limit power, energy storage battery discharging limit power, energy storage converter rated power and energy storage battery rated power, and further build the energy storage model based on the energy storage fault state, energy storage battery charging limit power, energy storage battery discharging limit power, energy storage converter rated power and energy storage battery rated power.

[0120] The energy storage model is specifically composed of the allowable power of energy storage battery consumption and the allowable power of energy storage battery generation. The formula is as follows:

[0121] ;

[0122] ;

[0123] in, The allowable power of the energy storage battery. The allowed power for generating electricity for the energy storage battery, is the photovoltaic fault status of the energy storage model, 1 indicates fault, and 0 indicates normal; Limit power for charging energy storage batteries; Limit power for discharging energy storage batteries; is the rated power of the energy storage converter, Rated power of the energy storage battery.

[0124] (3) Electric vehicle model;

[0125] S118: Obtaining the fault status of the electric vehicle, the required charging power of the vehicle, the required discharging power of the vehicle, and the rated power of the charging pile;

[0126] S119: constructing an electric vehicle model according to the fault state of the electric vehicle, the required charging power of the vehicle, the required discharging power of the vehicle, and the rated power of the charging pile;

[0127] Specifically, the electric vehicle model is a collection of vehicles, charging piles, and incoming electricity meters. In order to build an electric vehicle model, it is necessary to obtain the electric vehicle fault state, vehicle charging power requirement, vehicle discharge power requirement, and charging pile rated power; further, the electric vehicle model is built based on the electric vehicle fault state, vehicle charging power requirement, vehicle discharge power requirement, and charging pile rated power.

[0128] The electric vehicle model is specifically composed of the vehicle's permitted power consumption and the vehicle's permitted power generation. The formula is as follows:

[0129] ;

[0130] ;

[0131] in, The permitted power of the vehicle. Generating permitted power for vehicles; It is the fault status of the electric vehicle, 1 means fault, 0 means normal; The power required to charge the vehicle is The power required for vehicle discharge, is the rated power of the charging pile.

[0132] (4) Load model;

[0133] S120: Obtaining load shedding status and load rated power;

[0134] S121: Construct a load model according to the load shedding state and the load rated power.

[0135] Specifically, the power generation allowable power of the load model is always 0. In order to construct the load model, the load shedding state and the load rated power are specifically obtained; and the load model is constructed according to the load shedding state and the load rated power.

[0136] The load model is specifically composed of the load power allowable power. The formula is as follows:

[0137] ;

[0138] in, is the allowable power of load, The load shedding status is 1, indicating that the load can be shelved, and 0, indicating that the load cannot be shelved; is the rated power of the load.

[0139] In summary, the construction of each device model is realized respectively.

[0140] Based on the above embodiments, in some embodiments, the process of building an aggregation model includes:

[0141] S122: Aggregating the photovoltaic electricity allowable power of each photovoltaic model, and aggregating the photovoltaic power generation allowable power of each photovoltaic model to generate a photovoltaic aggregation model;

[0142] S123: Aggregating the energy storage battery power consumption allowable power of each energy storage model, and aggregating the energy storage battery power generation allowable power of each energy storage model, to generate an energy storage aggregation model;

[0143] S124: Aggregating the vehicle electricity consumption allowable power of each electric vehicle model and aggregating the vehicle power generation allowable power of each electric vehicle model to generate an electric vehicle aggregation model;

[0144] S125: Aggregate the load power consumption of each load model to generate a load aggregation model.

[0145] It can be understood that the aggregation model refers to a collection of multiple devices of the same type, which can realize the aggregated evaluation of the regulation capability of the device model, and complete the decomposition calculation and issuance of the aggregate device regulation instructions according to its own operating constraints and superior scheduling instructions. Since the device model includes four models, namely photovoltaic model, energy storage model, electric vehicle model and load model, the aggregation model also includes four corresponding models. The construction of each aggregation model is explained below:

[0146] (1) Photovoltaic aggregation model;

[0147] Specifically, the photovoltaic power consumption allowable power of each photovoltaic model is aggregated, and the photovoltaic power generation allowable power of each photovoltaic model is aggregated to generate a photovoltaic aggregation model. The specific formula is as follows:

[0148] ;

[0149] ;

[0150] in, is the total permitted power of photovoltaic aggregation, is the total allowed power of photovoltaic aggregation, is the number of photovoltaic devices in the aggregated unit.

[0151] (2) Energy storage aggregation model;

[0152] Specifically, the energy storage battery power consumption allowable power of each energy storage model is aggregated, and the energy storage battery power generation allowable power of each energy storage model is aggregated to generate an energy storage aggregation model. The specific formula is as follows:

[0153] ;

[0154] ;

[0155] in, The total power allowed for energy storage aggregation is is the total power generation capacity of energy storage aggregation, is the number of energy storage devices in the aggregation unit.

[0156] (3) Electric vehicle aggregation model;

[0157] Specifically, the vehicle electricity consumption allowable power of each electric vehicle model is aggregated, and the vehicle power generation allowable power of each electric vehicle model is aggregated to generate an electric vehicle aggregation model. The specific formula is as follows:

[0158] ;

[0159] ;

[0160] in, Aggregate the total power allowed for electric vehicles, Aggregate total power generation allowable for electric vehicles, is the number of electric vehicles in the aggregation unit.

[0161] (4) Load aggregation model;

[0162] Specifically aggregate the load power allowable of each load model to generate a load aggregation model. The formula is as follows:

[0163] ;

[0164] in, is the total power consumption allowed by load aggregation, and the total power generation allowed by load aggregation is 0. is the number of aggregate unit loads.

[0165] In summary, the construction of various aggregation models is achieved.

[0166] On the basis of the above embodiments, in some embodiments, based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model, including:

[0167] S131: Obtaining the adjustment priority of each aggregation model, and arranging each aggregation model in descending order according to the corresponding adjustment priority, so as to generate a sequence of aggregation models to be selected;

[0168] S132: Selecting the first aggregation model in the aggregation model candidate sequence as the aggregation model to be selected;

[0169] S133: judging whether the combination of the selected aggregation models meets the power regulation requirement according to the total power regulation amount; if not, proceeding to step S134; if yes, proceeding to step S135;

[0170] S134: Select the next aggregation model in the aggregation model candidate sequence as a new aggregation model to be selected, and return to step S133;

[0171] S135: taking each candidate aggregation model as a target aggregation model;

[0172] S136: Based on the total allowable power of power generation and the total allowable power of power consumption corresponding to each target aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in each target aggregation model.

[0173] Since there are multiple aggregation models in the system, in order to meet the power regulation requirements of the system and select a suitable aggregation model at the same time, in this embodiment, when adjusting the total power separately, it is necessary to obtain the regulation priority of each aggregation model, that is, to determine the regulation priority of the photovoltaic aggregation model, the energy storage aggregation model, the electric vehicle aggregation model and the load aggregation model respectively, and arrange each aggregation model in descending order according to the corresponding regulation priority to generate a sequence of aggregation models to be selected.

[0174] Furthermore, the first aggregation model is selected as the aggregation model to be selected in the aggregation model selection sequence; and whether the combination of the aggregation models to be selected meets the power regulation requirements is judged according to the total power regulation amount. If it is confirmed that the combination of the aggregation models to be selected does not meet the power regulation requirements, the next aggregation model is selected as the new aggregation model to be selected in the aggregation model selection sequence, so that the new aggregation model to be selected and the current aggregation model to be selected constitute a combination of aggregation models to be selected, and the step of judging whether the combination of the aggregation models to be selected meets the power regulation requirements according to the total power regulation amount is returned to perform another judgment. If it is confirmed that the combination of the aggregation models to be selected meets the power regulation requirements, each aggregation model to be selected is used as the target aggregation model; based on the total allowed power generation and total allowed power consumption corresponding to each target aggregation model, the total power regulation amount is decomposed into the power regulation amount corresponding to each equipment model in each target aggregation model. The following is an example:

[0175] Assuming that the aggregation model candidate sequence generated according to each regulation priority is: photovoltaic aggregation model, energy storage aggregation model, electric vehicle aggregation model and load aggregation model, the first aggregation model in the aggregation model candidate sequence is selected as the aggregation model to be selected, specifically, the photovoltaic aggregation model is selected as the aggregation model to be selected. Further, it is judged whether the combination of each aggregation model to be selected meets the power regulation requirement according to the total power regulation amount. Since only the photovoltaic aggregation model is currently selected as the aggregation model to be selected, it is actually judged whether the photovoltaic aggregation model meets the power regulation requirement according to the total power regulation amount. If it is confirmed that the photovoltaic aggregation model does not meet the power regulation requirement, the next aggregation model is selected as the new aggregation model to be selected in the aggregation model candidate sequence, that is, the energy storage aggregation model is selected as the new aggregation model to be selected, so that the energy storage aggregation model and the current photovoltaic aggregation model constitute a combination of the aggregation models to be selected, and return to the step of judging whether the combination of each aggregation model to be selected meets the power regulation requirement according to the total power regulation amount, so as to make another judgment, that is, judging whether the combination of the energy storage aggregation model and the photovoltaic aggregation model meets the power regulation requirement according to the total power regulation amount. Until it is confirmed that the combination of each aggregation model to be selected meets the power regulation requirement. Assuming that the combination of the energy storage aggregation model and the photovoltaic aggregation model meets the power regulation requirements, the energy storage aggregation model and the photovoltaic aggregation model are used as the target aggregation model; based on the total power generation allowable power and total power consumption allowable power corresponding to the energy storage aggregation model and the photovoltaic aggregation model, the total power regulation amount is decomposed into the power regulation amount corresponding to each device model in the energy storage aggregation model and the photovoltaic aggregation model. In this way, the decomposition and distribution of the total power regulation amount is realized.

[0176] It should be noted that the adjustment order of the aggregation model layers in this application is determined by their respective priorities. The priority of each aggregation model is generated according to customer needs during implementation, which can easily cope with scenarios with different adjustment needs. For example, for key users of charging operations, the electric vehicle aggregation model can be adjusted to the lowest priority, so as to ensure the user's charging experience as much as possible.

[0177] Based on the above embodiments, in some embodiments, after confirming that there is a demand for power regulation of the integrated photovoltaic storage charging and discharging new energy system, the method further includes:

[0178] S14: Determine whether a transformer reverse current event or transformer overload event occurs in the photovoltaic storage charging and discharging integrated new energy system, and receive a power adjustment instruction at the same time; if so, proceed to step S15;

[0179] S15: Ignore the transformer reverse current event or transformer overload event and only process the power adjustment instruction.

[0180] Specifically, after confirming that there is a need for power regulation of the integrated photovoltaic, storage, charging and discharging new energy system, in order to ensure the accurate execution of the power regulation instruction, it is determined whether a transformer reverse current event or a transformer overload event occurs in the integrated photovoltaic, storage, charging and discharging new energy system, and at the same time, the power regulation instruction is received.

[0181] If a transformer reverse current event or a transformer overload event occurs in the system, but no power adjustment instruction is received, the total amount of power adjustment under the transformer reverse current event or the transformer overload event can be directly determined. If a transformer reverse current event or a transformer overload event occurs in the system, and a power adjustment instruction is received at the same time, the transformer reverse current event or the transformer overload event should be ignored at this time, and only the power adjustment instruction should be processed, that is, the total amount of power adjustment under the power adjustment instruction is determined, so as to ensure the complete execution of the power adjustment instruction.

[0182] In the above embodiments, microgrid edge scheduling is described in detail, and the present application also provides corresponding embodiments of a microgrid edge scheduling device.

[0183] FIG3 is a schematic diagram of a microgrid edge dispatching device provided in an embodiment of the present application. The device is applied to an integrated photovoltaic storage charging and discharging new energy system; as shown in FIG3 , the device includes:

[0184] The monitoring and judging module 10 is used to monitor the operating status of the integrated photovoltaic, storage, charging and discharging new energy system, and judge whether there is a power regulation demand for the integrated photovoltaic, storage, charging and discharging new energy system according to the operating status; if so, trigger the determining module 11.

[0185] The determination module 11 is used to determine the total amount of power adjustment according to the operating state.

[0186] The power decomposition module 12 is used to decompose the total power regulation amount into power regulation amounts corresponding to each device model in the aggregation model based on the total allowable power generation and total allowable power consumption corresponding to the aggregation model; wherein the device model is a model that characterizes the allowable power consumption and allowable power generation of the equipment; the aggregation model is a model that characterizes the total allowable power consumption and total allowable power generation of all devices of the same type.

[0187] The power release module 13 is used to release the regulation resources to the integrated photovoltaic storage and charging / discharging new energy system through various equipment models based on various power regulation quantities.

[0188] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, which will not be repeated here.

[0189] FIG4 is a schematic diagram of a microgrid edge dispatching device provided in an embodiment of the present application. As shown in FIG4 , the microgrid edge dispatching device includes:

[0190] A memory 20, for storing computer programs;

[0191] The processor 21 is used to implement the steps of the microgrid edge scheduling method mentioned in the above embodiment when executing the computer program.

[0192] The microgrid edge dispatching device provided in this embodiment may include but is not limited to edge embedded devices, servers, smart phones, tablet computers, laptops or desktop computers, etc.

[0193] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one hardware form of a digital signal processor (DSP), a field programmable gate array (FPGA), and a programmable logic array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in an awake state, also known as a central processing unit (CPU); the coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a graphics processing unit (GPU), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an artificial intelligence (AI) processor, which is used to process computing operations related to machine learning.

[0194] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201, wherein, after the computer program is loaded and executed by the processor 21, it can implement the relevant steps of the microgrid edge scheduling method disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc. Data 203 may include but is not limited to data related to the microgrid edge scheduling method.

[0195] In some embodiments, the microgrid edge dispatching device may also include a display screen 22 , an input / output interface 23 , a communication interface 24 , a power supply 25 , and a communication bus 26 .

[0196] Those skilled in the art will appreciate that the structure shown in FIG. 4 does not constitute a limitation on the microgrid edge dispatching device and may include more or fewer components than shown in the figure.

[0197] The present application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps recorded in the above method embodiment are implemented.

[0198] It is understandable that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0199] Finally, the present application also provides a computer program product, including a computer program or instructions, which, when executed by a processor, implement the steps of the above-mentioned microgrid edge scheduling method.

[0200] The above is a detailed introduction to a microgrid edge scheduling method, device, equipment, medium and product provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can refer to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the present application.

[0201] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A microgrid edge scheduling method, characterized in that: Applied to a new energy system integrating photovoltaic storage, charging and discharging; the method comprises: Monitoring the operating status of the photovoltaic storage charging and discharging integrated new energy system, and judging whether there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system according to the operating status; If yes, determining the total amount of power regulation according to the operating state; Based on the total allowable power generation and total allowable power consumption corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model; wherein the device model is a model that characterizes the allowable power consumption and allowable power generation of the device; the aggregation model is a model that characterizes the total allowable power consumption and total allowable power generation of all the devices of the same type; Based on each of the power regulation amounts, regulation resources are released to the integrated photovoltaic, storage, charging and discharging new energy system through each of the device models.

2. The microgrid edge scheduling method according to claim 1, characterized in that: Monitoring the operating state of the photovoltaic storage charging and discharging integrated new energy system, and judging whether there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system according to the operating state, including: Monitor the grid connection point power and transformer rated power of the photovoltaic storage charging and discharging integrated new energy system; Communicate with each of the devices in real time to determine the system power generation allowable power and system power consumption allowable power of the integrated photovoltaic storage charging and discharging new energy system; According to the grid connection point power and the rated power of the transformer, it is judged whether a transformer reverse current event or a transformer overload event occurs in the photovoltaic storage charging and discharging integrated new energy system, and / or a power adjustment instruction is received; wherein the power adjustment instruction is generated based on the system power generation allowable power and / or the system power consumption allowable power; If so, it is confirmed that there is a need for power regulation of the integrated photovoltaic, storage, charging and discharging new energy system.

3. The microgrid edge scheduling method according to claim 2, characterized in that: Determining the total amount of power regulation according to the operating state includes: Obtaining the rated active power of the transformer and the real-time power of the transformer of the integrated photovoltaic storage charging and discharging new energy system; When receiving the power adjustment instruction, determining the total power adjustment amount according to the power adjustment instruction, the rated active power of the transformer and the real-time power of the transformer; When it is confirmed that the transformer overload event occurs, determining the total power adjustment amount according to the rated active power of the transformer and the real-time power of the transformer; When the transformer reverse current event is confirmed to occur, the total power regulation amount is determined according to the real-time power of the transformer.

4. The microgrid edge scheduling method according to claim 1, characterized in that: The device model includes a photovoltaic model, an energy storage model, an electric vehicle model and a load model; correspondingly, the construction process of the device model includes: Obtain PV fault status, PV current real-time power, PV rated power and PV power adjustment step; Constructing the photovoltaic model according to the photovoltaic fault state, the photovoltaic current real-time power, the photovoltaic rated power and the photovoltaic power adjustment step; Obtain energy storage fault status, energy storage battery charging limit power, energy storage battery discharging limit power, energy storage converter rated power and energy storage battery rated power; Constructing the energy storage model according to the energy storage fault state, the energy storage battery charging limit power, the energy storage battery discharging limit power, the energy storage converter rated power and the energy storage battery rated power; Obtain electric vehicle fault status, vehicle charging power requirement, vehicle discharge power requirement and charging pile rated power; Constructing the electric vehicle model according to the electric vehicle fault state, the vehicle charging demand power, the vehicle discharging demand power and the charging pile rated power; Obtain load shedding status and load rated power; The load model is constructed according to the load shedding state and the load rated power.

5. The microgrid edge scheduling method according to claim 4, characterized in that: The construction process of the aggregation model includes: Aggregating the photovoltaic electricity allowable power of each photovoltaic model and aggregating the photovoltaic power generation allowable power of each photovoltaic model to generate a photovoltaic aggregation model; Aggregating the energy storage battery power consumption allowable power of each energy storage model, and aggregating the energy storage battery power generation allowable power of each energy storage model, so as to generate an energy storage aggregation model; Aggregating the vehicle electricity consumption allowable power of each of the electric vehicle models and aggregating the vehicle power generation allowable power of each of the electric vehicle models to generate an electric vehicle aggregation model; The load power consumption allowable of each load model is aggregated to generate a load aggregation model.

6. The microgrid edge scheduling method according to claim 5, characterized in that: Based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model, the total power regulation amount is decomposed into power regulation amounts corresponding to each device model in the aggregation model, including: Acquire the adjustment priority of each of the aggregation models, and arrange the aggregation models in descending order according to the corresponding adjustment priority to generate a sequence of aggregation models to be selected; Selecting the first aggregation model in the aggregation model candidate sequence as the aggregation model to be selected; Determining whether a combination of the to-be-selected aggregation models meets a power regulation requirement according to the total power regulation amount; If not, selecting the next aggregation model in the aggregation model candidate sequence as the new aggregation model to be selected, and returning to the step of judging whether the combination of the aggregation models to be selected meets the power regulation requirement according to the total power regulation amount; If yes, each of the candidate aggregation models is used as a target aggregation model; Based on the total allowed power of power generation and the total allowed power of power consumption corresponding to each of the target aggregation models, the total power regulation amount is decomposed into power regulation amounts corresponding to each of the device models in each of the target aggregation models.

7. The microgrid edge scheduling method according to any one of claims 2 to 6, characterized in that: After confirming that there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system, it also includes: Determining whether the transformer reverse current event or the transformer overload event occurs in the photovoltaic storage charging and discharging integrated new energy system, and receiving the power adjustment instruction at the same time; If so, the transformer reverse current event or the transformer overload event is ignored, and only the power adjustment instruction is processed.

8. A microgrid edge dispatching device, characterized in that: Applied to the integrated photovoltaic storage charging and discharging new energy system; the device comprises: A monitoring and judging module, used for monitoring the operating state of the photovoltaic storage charging and discharging integrated new energy system, and judging whether there is a demand for power regulation of the photovoltaic storage charging and discharging integrated new energy system according to the operating state; if so, triggering a determining module; The determining module is used to determine the total amount of power adjustment according to the operating state; A power decomposition module, for decomposing the total power regulation amount into power regulation amounts corresponding to each device model in the aggregation model based on the total power generation allowable power and the total power consumption allowable power corresponding to the aggregation model; wherein the device model is a model that characterizes the power consumption allowable power and the power generation allowable power of the device; and the aggregation model is a model that characterizes the total power consumption allowable power and the total power generation allowable power of all the devices of the same type; A power release module is used to release the regulation resources to the integrated photovoltaic storage and charging / discharging new energy system through each of the equipment models based on each of the power regulation amounts.

9. A microgrid edge dispatching device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the microgrid edge scheduling method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the microgrid edge scheduling method according to any one of claims 1 to 7 are implemented.

11. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the steps of the microgrid edge scheduling method described in any one of claims 1 to 7 are implemented.

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