A Flexible Resource Regulation Method and System Based on a Regional Edge Network Architecture

Abstract

The present invention provides a flexible resource regulation method and system based on a regional edge network architecture. When a virtual power plant system including a master station and an edge control sub-station connecting an integrated park and flexible resources is started, the edge control sub-station sets the resource regulation modes of the integrated park and the flexible resources to remote resource control. When the obtained regional control mode of the edge control sub-station is set to sub-station remote control, the edge control sub-station obtains the resource adjustable capabilities of each integrated park and flexible resources in real time, summarizes them to obtain the sub-station regional adjustable capabilities, and sends them to the master station. After the master station generates a sub-station regional regulation target based on the sub-station regional adjustable capabilities of the edge control sub-station and issues it, the edge control sub-station decomposes the sub-station regional regulation target to generate resource regulation instructions and issues them to the integrated park and the flexible resources. The present invention can effectively relieve the workload of the master station while also taking into account the automatic power control of resources within the region and the optimization of energy management, thereby continuously ensuring the stability of the power grid frequency and the balance between supply and demand.

Description

Technical Field

[0001] The present invention relates to the technical field of new power system resource regulation and control, and particularly to a flexible resource regulation and control method and system based on a regional edge network architecture. Background Art

[0002] With the access of a large number of "source-load-storage" multi-attribute integrated resources such as massive distributed power sources, electric vehicles, and distributed energy storage to the power grid, more and more loads are changing from traditional rigidity to "flexibility", and the terminal load is changing from single-energy consumption to a two-way active form, forming more and more power "prosumers", resulting in strong uncertainty and volatility on the load side of the power system. The operating control objects have changed profoundly, the control scope has expanded to low voltages, the control scale has increased exponentially, and the control objectives have become increasingly diversified, thus bringing new challenges to the stability of the new power system and the control of supply-demand balance.

[0003] In order to meet the management and control requirements of the new power system, existing demand-side management or virtual power plants usually adopt a networking architecture of "1+N" for the master station and terminals. Under this kind of management and control architecture, the more access terminal measurement and control devices there are, the heavier the communication load borne by the master station, and the higher the requirements for parsing, processing, and network communication, resulting in a relatively high bearing capacity risk. At the same time, most of the demand-side management and virtual power plants based on this management and control architecture mainly rely on invitation-based demand response or peak shaving and valley filling auxiliary services. The existing power control system cannot achieve real-time continuous adaptive interactive response, and it is difficult to continuously and reliably ensure the stability of the power grid frequency and the balance of supply and demand. Summary of the Invention

[0004] The purpose of the present invention is to provide a flexible resource regulation and control method based on a regional edge network architecture. By adding an edge control sub-station between the master station and the resource terminal, while realizing the management of the lower-layer resource terminals, it effectively alleviates the bearing pressure of data transmission and data processing computing power of the upper-layer master station. At the same time, by deploying regional power adaptive control logic in the edge control sub-station, it supports both regional local operation (autonomous control operation) and master station remote control operation, realizes automatic power regulation of the accessed flexible resources and comprehensive parks, can take into account the automatic power control of resources within the region and the optimization of energy management, and continuously and reliably meets the application requirements of power grid frequency stability and supply-demand balance in multiple scenarios.

[0005] In order to achieve the above purpose, it is necessary to provide a flexible resource regulation and control method, system, computer device, and storage medium based on a regional edge network architecture for the above technical problems.

[0006] In the first aspect, an embodiment of the present invention provides a flexible resource regulation and control method based on a regional edge network architecture, and the method includes the following steps:

[0007] Applied to a virtual power plant system, the virtual power plant system includes a master station, at least one edge control sub-station communicatively connected to the master station, and at least one integrated park and a plurality of flexible resources communicatively connected to the edge control sub-station; the method includes the following steps:

[0008] In response to the startup of the virtual power plant system, set the resource regulation modes of the respective integrated parks and flexible resources connected to the corresponding edge control sub-stations to remote resource control, and obtain the regional control modes of the respective edge control sub-stations in real time;

[0009] When the regional control mode is set to sub-station remote control, obtain the resource adjustable capabilities of the respective integrated parks and flexible resources connected to the corresponding edge control sub-stations in real time through the edge control sub-station, and upload the aggregated sub-station regional adjustable capabilities to the master station, so that the master station generates corresponding sub-station regional adjustment targets according to the sub-station regional adjustable capabilities of the respective edge control sub-stations and issues them to the corresponding edge control sub-stations;

[0010] In response to the receipt of the sub-station regional adjustment target, decompose the sub-station regional adjustment target through the edge control sub-station, and generate resource regulation instructions according to the obtained respective resource adjustment targets and issue them to the corresponding integrated parks and flexible resources.

[0011] Further, the step of decomposing the sub-station regional adjustment target through the edge control sub-station includes:

[0012] According to the sub-station regional adjustable capabilities, calculate the resource adjustable ratios of the respective integrated parks and flexible resources connected to the edge control sub-station respectively;

[0013] Multiply each resource adjustable ratio by the sub-station regional adjustment target to obtain the corresponding resource adjustment target.

[0014] Further, the resource regulation mode further includes local resource control; the method further includes:

[0015] Collect the operation status data and expected control signals of the corresponding integrated parks and flexible resources through each edge control sub-station in real time, and update the corresponding resource regulation modes according to the operation status data and the expected control signals; the expected control signals include remote resource control and local resource control.

[0016] Further, the method further includes:

[0017] Construct a corresponding park operation optimization model according to the resource adjustment targets of the respective integrated parks, and obtain the corresponding park resource regulation strategy by solving the park operation optimization model; the park resource regulation strategy includes the regulation powers of the respective energy devices in the integrated park.

[0018] Further, the steps of constructing the corresponding park operation optimization model according to the resource adjustment objectives of each comprehensive park include:

[0019] Taking the minimum park operation cost as the optimization objective, establish the objective function of the park operation optimization model;

[0020] Taking the resource adjustment objective of the comprehensive park as the power flowing into the park from the power grid, construct the constraint conditions of the park operation optimization model; the constraint conditions include power balance constraint, equipment operation constraint and maximum demand constraint.

[0021] Further, the comprehensive park includes energy storage, distributed power sources, micro gas turbines and air-conditioning loads; the steps of taking the minimum park operation cost as the optimization objective and establishing the objective function of the park operation optimization model include:

[0022] According to the difference between the electricity purchase cost of the park from the power grid and the electricity sale revenue of the park to the power grid, obtain the park electricity cost, and sum the park electricity cost and the park demand charge cost to obtain the park-grid transaction cost expression;

[0023] According to the power generation power of the micro gas turbine and the fuel cost coefficient, obtain the micro gas turbine cost expression;

[0024] According to the power consumption power of the air-conditioning load and the operation and maintenance cost coefficient, obtain the air-conditioning load operation and maintenance cost expression;

[0025] According to the charging power, discharging power, charging efficiency, discharging efficiency and energy storage operation depreciation cost coefficient of the distributed energy storage, obtain the energy storage device depreciation cost expression;

[0026] According to the wind curtailment power, light curtailment power, wind curtailment cost coefficient and light curtailment cost coefficient of the distributed power source, obtain the distributed power source wind curtailment and light curtailment penalty cost expression;

[0027] According to the park-grid transaction cost expression, the micro gas turbine cost expression, the air-conditioning load operation and maintenance cost expression, the energy storage device depreciation cost expression and the distributed power source wind curtailment and light curtailment penalty cost expression, obtain the park operation cost expression;

[0028] According to the park operation cost expression, establish the objective function of the park operation optimization model based on the minimization of the park operation cost.

[0029] Further, the park-grid transaction cost expression is:

[0030]

[0031] Among them, represents the transaction cost between the park and the power grid; and respectively represent the time-of-use electricity prices for the park to purchase and sell electricity from / to the power grid in the th time period; and respectively represent the power for the park to purchase from the power grid and the power sold by the park to the power grid in the th time period; represents the demand electricity price; and respectively represent the maximum demand load of the park in the current month and the number of days in the current month; represents the total number of time periods per day in the park.

[0032] Furthermore, the area control mode further includes substation local control; the method further includes:

[0033] When the area control mode is the substation local control, the edge control substation generates a corresponding area resource regulation strategy based on a preset area optimization target; the preset area optimization target includes one of the area line loss minimization target and the operation cost minimization target; the area resource regulation strategy includes the regulation power of each comprehensive park and flexible resource.

[0034] In a second aspect, an embodiment of the present invention provides a flexible resource regulation system based on an area edge network architecture, which is applied to a virtual power plant system. The virtual power plant system includes a master station, at least one edge control substation communicatively connected to the master station, and at least one comprehensive park and a plurality of flexible resources communicatively connected to the edge control substation; the system includes:

[0035] A mode initialization module, configured to, in response to the startup of the virtual power plant system, set the resource regulation modes of the corresponding connected comprehensive parks and flexible resources to remote resource control through each edge control substation, and obtain the area control mode of each edge control substation in real time;

[0036] An area target generation module, configured to, when the area control mode is set to substation remote control, obtain the resource adjustable capabilities of the corresponding connected comprehensive parks and flexible resources in real time through the edge control substation and upload the aggregated substation area adjustable capabilities to the master station, so that the master station generates a corresponding substation area adjustment target according to the substation area adjustable capabilities of each edge control substation and issues it to the corresponding edge control substation;

[0037] A resource power regulation module, configured to, in response to the reception of the substation area adjustment target, decompose the substation area adjustment target through the edge control substation, and generate a resource regulation instruction according to the obtained resource adjustment targets and issue it to the corresponding comprehensive park and flexible resource.

[0038] Further, the system further includes:

[0039] A park operation optimization module, configured to construct a corresponding park operation optimization model according to the resource adjustment objectives of each comprehensive park, and obtain a corresponding park resource regulation strategy by solving the park operation optimization model; the park resource regulation strategy includes the regulation power of each energy device in the comprehensive park.

[0040] The present application provides a flexible resource regulation method and system based on a regional edge network architecture. Through the method, a virtual power plant system including a master station, at least one edge control sub-station communicatively connected to the master station, at least one comprehensive park communicatively connected to the edge control sub-station, and multiple flexible resources is realized. When the virtual power plant system is started, the resource regulation modes of each comprehensive park and flexible resource connected correspondingly are set to remote resource control through each edge control sub-station, and the regional control mode of each edge control sub-station is obtained in real time. When the regional control mode is set to sub-station remote control, the resource adjustable capabilities of each comprehensive park and flexible resource connected correspondingly are obtained in real time through the edge control sub-station, and the aggregated sub-station regional adjustable capabilities are sent to the master station, so that the master station generates corresponding sub-station regional adjustment objectives according to the sub-station regional adjustable capabilities of each edge control sub-station and issues them to the corresponding edge control sub-station. In response to receiving the sub-station regional adjustment objectives, the edge control sub-station decomposes the sub-station regional adjustment objectives and generates resource regulation instructions according to the obtained resource adjustment objectives and issues them to the corresponding comprehensive park and flexible resource. Compared with the prior art, the flexible resource regulation method based on the regional edge network architecture can not only manage the lower-layer resource terminals by adding edge control sub-stations between the master station and the resource terminals, effectively relieve the data transmission and data processing computing power bearing pressure of the upper-layer master station, but also support regional automatic control operation and master station remote control operation by deploying regional power adaptive control logic in the edge control sub-station, realize automatic power regulation of the connected flexible resources and comprehensive parks, be able to take into account regional resource automatic power control and energy management optimization, and thus continuously and reliably meet the application requirements of grid frequency stability and supply-demand balance in multiple scenarios. Description of the Drawings

[0041] Figure 1 is a schematic diagram of the network architecture of the virtual power plant system in an embodiment of the present invention;

[0042] Figure 2 is a schematic flowchart of the flexible resource regulation method based on the regional edge network architecture in an embodiment of the present invention;

[0043] Figure 3It is a schematic diagram of the operation process of the area control mode switching and exit mechanism of the edge control substation in the embodiment of the present invention;

[0044] Figure 4 It is a schematic diagram of the structure of a flexible resource regulation system based on a regional edge network architecture in the embodiment of the present invention. Detailed implementation manners

[0045] In order to make the objectives, technical solutions and beneficial effects of the present application clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Obviously, the following described embodiments are part of the embodiments of the present invention and are only used to illustrate the present invention, but not to limit the scope of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0046] The flexible resource regulation method based on a regional edge network architecture provided by the present invention can be understood as a resource regulation method based on Figure 1 the network architecture shown, which is applicable to the automatic control of the power of flexible resources within a virtual power plant or a demand-side management platform. The following embodiments will detail the flexible resource regulation method based on a regional edge network architecture of the present invention.

[0047] In one embodiment, as Figure 2 shown, a flexible resource regulation method based on a regional edge network architecture is provided, which is applied to a virtual power plant system. Among them, the virtual power plant system, as Figure 1 shown, includes a master station located in the first layer (virtual power plant master station layer), at least one edge control substation located in the second layer (edge layer) and communicatively connected to the master station, and at least one integrated park and multiple flexible resources located in the third layer (terminal layer) and communicatively connected to the edge control substation; the master station in the first layer can be connected upward to a dispatching automation system, a new power load management system, a trading center, etc. to realize the information and demand interaction between the virtual power plant and the power system, and can be connected downward to both the edge control substation in the second layer and the flexible resources it contains, and can also directly access other flexibly controllable resources in the third layer to realize the collection of massive information, the calculation of adjustable capacity and the primary aggregation function.

[0048] The comprehensive park managed by the edge control substation can be understood as a comprehensive energy zone and large industrial park with energy equipment such as micro-turbines, distributed power sources, flexible adjustable loads and energy storage, and the corresponding flexible resources include distributed new energy (photovoltaic and wind power), distributed energy storage, charging piles and industrial and commercial loads, etc. It is connected to the edge control substation located on the second layer through the corresponding measurement and control terminal, that is, the real-time operation status data of the flexible resources is collected based on the measurement and control terminal, and sent to the database of the edge control substation through wired (based on TCP / IP, MODBUS protocol transmission) or wireless (4G, 5G) communication methods for analysis and use by the edge control substation, and supports the corresponding development of resource monitoring front-end page to realize information aggregation. At the same time, the edge control substation can also realize functions such as data governance, anomaly monitoring and active collaboration. The data governance function can be understood as screening and reordering the data at the collection terminal layer, and presenting the data that the substation focuses on and monitors on the front-end page; anomaly monitoring can be understood as real-time monitoring and feedback of data anomalies and equipment anomalies; the active collaboration function can be understood as realizing power coordinated regulation of resources in the substation area, which only requires transmitting the real-time measurement, operating status and controllable adjustment capabilities of the substation (regional aggregate) to the upper-level master station.

[0049] It should be noted that the edge control substation in this embodiment is used to share part of the transmission and computing power of the upper virtual power plant, alleviating the load and computing pressure of the main station server; the edge control substation can reduce the development difficulty and development cycle of the main station by developing universal interfaces for various heterogeneous terminal devices and protocols and using a unified interface protocol for two-way communication with the main station layer. In addition, in addition to implementing collaborative operation management of resources in the region by deploying automatic power control strategies, the edge control substation also optimizes the management of the park energy park of the local site, helping to realize multi-scenario reuse of the edge control substation and forming an "economic-interactive-safe" energy flow, information flow, and ecological flow.

[0050] The following embodiment will mainly be based on the active collaborative control function of the resources within the edge control substation, and will explain in detail the flexible resource control method implemented based on the above virtual power plant system; the method includes the following steps:

[0051] S11. In response to the startup of the virtual power plant system, set the resource regulation modes of the respective connected integrated parks and flexible resources to remote resource control through each edge control substation, and obtain the regional control mode of each edge control substation in real time. Here, the resource regulation mode can be understood as the operation mode of the integrated parks and flexible resources managed by the edge control substation. To facilitate management by the edge control substation, when the system starts up, it is default set to remote resource control that receives regulation by the edge control substation, that is, both the integrated parks and flexible resources can operate by receiving power regulation instructions issued by the corresponding edge control substation. At the same time, the regional control mode can be understood as a mode flag indicating whether the corresponding edge control substation receives power regulation instructions from the upper-level master station. In practical applications, the regional control mode of each edge control substation can be adjusted and set at any time according to actual application scenario requirements. To facilitate perceiving the regulation requirements of the master station and based on this timely and adaptively regulating the power of flexible resources within the area of each substation, it is preferably set that each edge control substation supports remote resource control and is initialized to this mode at system startup, and then adjusted according to application requirements, that is, it can receive the regulation target issued by the master station and accordingly reasonably dispatch the flexible resources within its domain.

[0052] S12. When the regional control mode is set to substation remote control, obtain the adjustable capacity of the respective connected integrated parks and flexible resources in real time through the edge control substation, and upload the aggregated substation area adjustable capacity to the master station, so that the master station generates corresponding substation area adjustment targets according to the substation area adjustable capacity of each edge control substation and issues them to the corresponding edge control substations.

[0053] In this embodiment, the adjustable capacity of the flexible resources can be understood as the power adjustable capacity evaluated based on the actual operation conditions of various flexible resources, including the upward adjustable capacity and the downward adjustable capacity. The specific acquisition process is as follows:

[0054] 1) When the flexible resource is a distributed energy storage, the real-time power can be positive or negative, then:

[0055]

[0056] Where and respectively represent the upward adjustable capacity and the downward adjustable capacity of the i-th distributed energy storage; and respectively represent the rated power and the real-time power of the i-th distributed energy storage; and represent the reverse power protection limit and the overload protection limit of the i-th distributed energy storage; represents the grid connection point power of the i-th distributed energy storage.

[0057] 2) When the flexible resource is distributed new energy (photovoltaic or wind power), and the real-time power is only positive, then we have:

[0058]

[0059] Among them, and respectively represent the upward regulation capacity and downward regulation capacity of the m-th distributed new energy; , and respectively represent the real-time power generation, predicted power generation, and minimum power generation limit of the m-th distributed new energy. The minimum power generation limit can be 0 or set according to requirements. It should be noted that when the distributed new energy is not regulated and is at the current maximum power generation (predicted power generation) , , and the distributed new energy that has already participated in regulation has a certain upward regulation space.

[0060] 3) When the flexible resource is a charging pile, the real-time power is only negative, then we have:

[0061]

[0062] Among them, and respectively represent the upward regulation capacity and downward regulation capacity of the n-th charging pile; , and respectively represent the real-time charging power, predicted charging power, and minimum charging power limit of the n-th charging pile, which are negative numbers or 0 and can be set according to requirements. It should be noted that when the charging pile is not regulated and is at the current maximum power charging , , and the charging pile that has already participated in regulation has a certain downward regulation space.

[0063] 4) When the flexible resource is a fast-adjustable industrial and commercial load, the real-time power is only negative, then we have:

[0064]

[0065] Among them, and respectively represent the upward regulation capacity and downward regulation capacity of the l-th adjustable industrial and commercial load; , and respectively represent the real-time load value, minimum load limit, and maximum load limit of the l-th adjustable industrial and commercial load, and both the minimum load limit and the maximum load limit can be set according to actual application requirements.

[0066] In this embodiment, the resource adjustable capacity of the integrated park can be understood as the overall power adjustable capacity of the park evaluated based on the actual operating conditions of energy equipment such as micro gas turbines, distributed power sources, flexible adjustable loads, and energy storage in the integrated park. It can be obtained by directly adding up the power adjustable capacities of all energy equipment in the integrated park, and also includes the corresponding upward adjustable capacity and downward adjustable capacity. It should be noted that the power adjustable capacities corresponding to each energy equipment in the integrated park can be obtained by referring to the adjustable capacity acquisition method of the above-mentioned flexible resources or existing related acquisition technologies, which will not be elaborated here.

[0067] After each edge control substation obtains the resource adjustable capacities of the corresponding connected integrated parks and flexible resources through the above method, it can summarize the corresponding substation area adjustable capacity by adding up the resource adjustable capacities of all flexible resources and all integrated parks and send it to the master station for the master station to allocate power regulation targets according to the substation area adjustable capacities of each edge control substation. It should be noted that in actual applications, the power regulation targets allocated by the master station are determined according to the operating conditions of the actual power system, which can be upward regulation targets or downward regulation targets. The method for the master station to decompose the power regulation targets according to the substation area adjustable capacities of each edge control substation can be selected according to actual application requirements. For example, first, according to the substation area adjustable capacities of each edge control substation, the total adjustable capacity of the substations within the master station range can be obtained, and then the adjustable capacity ratios of the substation area adjustable capacities of each edge control substation corresponding to the total adjustable capacity of the substations within the master station range can be calculated respectively, and each adjustable capacity ratio is multiplied by the total power regulation target of the master station to obtain the corresponding substation area regulation target.

[0068] It should be noted that the basis for the master station to decompose the power regulation targets according to the substation area adjustable capacities of the edge control substations here is that the area control mode of the edge control substations corresponding to all substation area adjustable capacities received by the master station is set to substation remote control, that is, the edge control substations whose area control mode is not substation remote control do not report the corresponding substation area adjustable capacities to the master station or inform the master station that they do not participate in remote regulation by adding area control mode tags when reporting, and there is no need to consider them when decomposing the regulation targets, so as to realize the master station's adaptive perception of the edge control substations participating in remote regulation at the lower layer and the corresponding flexible resources and / or integrated parks, and realize the flexible regulation of the power system energy.

[0069] S13. In response to receiving the sub-station area regulation target, the edge control sub-station decomposes the sub-station area regulation target, and generates a resource regulation command according to each obtained resource regulation target and issues it to the corresponding integrated park and flexible resource; the decomposition of the sub-station area regulation target can be understood as that the edge control sub-station starts the remote control operation automatic power regulation strategy in the deployed automatic power control strategy to decompose the power regulation target allocated by the master station received by it to all integrated parks and / or flexible resources under its remote control of resources below it.

[0070] In this embodiment, when the integrated park and flexible resource are operating normally, it is defaulted that their corresponding resource regulation modes always remain in the resource remote control at the initial start of the system. And in order to ensure that while various resources are utilized in a coordinated manner, the adjustable capacity of various resources is maximally utilized, this embodiment preferably decomposes the sub-station area regulation target according to the proportion of the resource regulation capacity supported by the sub-station control within the area; specifically, the step of decomposing the sub-station area regulation target by the edge control sub-station includes:

[0071] According to the adjustable capacity of the sub-station area, calculate the resource adjustable proportion of each integrated park and flexible resource connected to the edge control sub-station respectively; where the resource adjustable proportion can be understood as the proportion of the resource adjustable capacity of each integrated park or flexible resource that supports the edge control sub-station regulation (operating in the resource remote control) in the adjustable capacity of the sub-station area.

[0072] Multiply each resource adjustable proportion by the sub-station area regulation target to obtain the corresponding resource regulation target; where the resource regulation target is expressed as:

[0073]

[0074] In the formula, represents the hth resource regulation target in the kth edge control sub-station area; and respectively represent the upward adjustment target and downward adjustment target of the sub-station area of the kth edge control sub-station; and respectively represent the upward adjustment capacity and downward adjustment capacity of the sub-station area of the kth edge control sub-station; and respectively represent the upward adjustment capacity and downward adjustment capacity of the hth resource (integrated park or flexible resource) in the kth edge control sub-station area.

[0075] After obtaining the resource regulation targets (up-regulation targets or down-regulation targets) of all the integrated parks and flexible resources participating in remote control in the edge control substation through the above method, resource regulation instructions can be generated accordingly and sent to the corresponding integrated park or flexible resource to regulate its power. Through the coordinated cooperation of the resources within the edge control substation area, the regulation target of the corresponding substation can be achieved, and then all the edge control substations cooperate with each other to meet the power regulation requirements of the entire master station.

[0076] In this embodiment, an edge control substation is added between the master station and the resource terminal to realize the management of the lower-layer resource terminals by the middle-edge control substation layer. This can not only effectively relieve the bearing pressure of data transmission and data processing computing power of the upper-layer master station, but also realize the automatic remote power regulation of the connected flexible resources and integrated parks based on the comprehensive regulation requirements of the master station by deploying the regional power adaptive control logic in the edge control substation, taking into account the automatic power control of the resources within the region and the optimization of integrated park management, and supporting the grid frequency stability and supply-demand balance under multiple scenarios.

[0077] Considering that in the actual operation process of the virtual power plant system, some flexible resources or integrated parks may have working conditions that are not suitable for remote control operation, such as faults, maintenance, shutdowns, etc. To ensure the rationality and reliability of the resources within the areas of each remote control edge control substation, this embodiment preferably sets that the resource regulation mode further includes resource local control. When the edge control substation monitors that a certain or certain resources within the region are operating abnormally, or a certain or certain resources actively withdraw from the resource remote control, the corresponding edge control substation switches the corresponding resource regulation mode from resource remote control to resource local control. Specifically, the method further includes:

[0078] By each edge control substation, the operation status data and expected control signals of the corresponding integrated park and flexible resources are collected in real time, and the corresponding resource regulation mode is updated according to the operation status data and the expected control signals. Among them, the operation status data of the integrated park and flexible resources may include relevant data such as corresponding telemetry, telecontrol, teleindication, and teleadjustment, and may also include data reflecting the response performance of each integrated park and flexible resource, such as the response rate, response error, and response delay after the resource executes remote regulation. Among them, the response rate can be understood as the quotient of the resource response amount divided by the difference between the duration from the issuance of the regulation instruction to the resource response in place and the duration of the timed data acquisition cycle, expressed as: K1 = L / (T - T o ), where L is the resource response amount; T is the time when the flexible resource responds in place after the instruction is issued; T o represents the duration of the timed data acquisition cycle; the response error can be understood as the quotient of the difference between the power value after the resource response and the corresponding regulation target value divided by the adjustable capacity of the substation area, expressed as: K2 = (L1 - L0) / P total, L1 and L0 are the power values and target values after resource response respectively, and P total is the adjustable capacity of the corresponding substation area (the total adjustable capacity of the aggregated resources in the substation); the response delay can be understood as the time difference between the moment when the resource receives the regulation command and the moment when the response starts. It should be noted that after the edge control substation collects the operation status data of the corresponding integrated park and flexible resources in real time, it can comprehensively analyze the operation status data to timely identify the resources that may have faults, and switch the resource regulation mode of the identified faulty resources to local control to ensure the rationality and effectiveness of the subsequent regulation target allocation of the edge control substation; the comprehensive analysis method of the specific operation status data can be set according to the actual application scenario requirements and is not limited here.

[0079] Resource local control can be understood as that the integrated park and flexible resources can operate according to their own power generation or power consumption needs, while the corresponding resource remote control is run by the edge control substation in the edge layer. To ensure the flexible management and control of resources within each edge control substation area, this embodiment preferably sets a corresponding control mode switching and exit mechanism, so that each integrated park and flexible resource within the area has the right to directly send expected control signals such as "remote control" or "local operation" to the corresponding edge control substation by means of control function pressure plates according to the actual operation needs, that is, the expected control signals include resource remote control and resource local control, and support the flexible exit of resource remote control, making the resource operation mode more in line with the actual operation scenario and application requirements; when a certain resource or some resources send resource local control, it means that it will no longer participate in the subsequent remote regulation power target allocation of the corresponding edge control substation, and it can only participate in the remote control operation of the subsequent edge control substation after it sends the resource remote control signal again.

[0080] After obtaining the resource adjustment targets of the integrated parks within each edge control substation area through the above method steps, it is necessary to further reasonably dispatch all relevant energy equipment within the park based on the resource adjustment targets to cooperate with the regulation targets of the corresponding edge control substation. To ensure the rationality of resource regulation in each integrated park, this embodiment preferably optimizes the management of energy equipment throughout the park based on the obtained resource adjustment targets of the integrated park. Specifically, the method further includes:

[0081] According to the resource adjustment targets of each integrated park, construct a corresponding park operation optimization model, and obtain the corresponding park resource regulation strategy by solving the park operation optimization model; the park resource regulation strategy includes the regulation power of each energy equipment within the integrated park.

[0082] Specifically, the step of constructing a corresponding park operation optimization model according to the resource adjustment targets of each integrated park includes:

[0083] Taking the minimum of the park operation cost as the optimization objective, establish the objective function of the park operation optimization model; wherein, the park operation cost can be understood as the total operation and maintenance cost of the park statistically calculated according to the historical curves and real-time states of the sources, storages, and loads in the comprehensive park, combined with the two-part electricity price of "demand charge + electricity charge" in the park.

[0084] In this embodiment, it is preferably set that the comprehensive park includes energy storage, distributed power sources, micro gas turbines, and air-conditioning loads; correspondingly, the steps of establishing the objective function of the park operation optimization model with the minimum of the park operation cost as the optimization objective include:

[0085] Obtain the electricity charge cost of the park by taking the difference between the electricity purchase cost of the park from the power grid and the electricity sale revenue of the park to the power grid, and sum the electricity charge cost of the park and the demand charge cost of the park to obtain the park-grid transaction cost expression; that is, the park-grid transaction cost expression is:

[0086]

[0087] Among them, represents the park-grid transaction cost, which is equal to the total cost of the comprehensive park purchasing electricity from the power grid through the tie line minus the total revenue of selling electricity to the power grid, and then adding the basic electricity charge of the demand charge; and respectively represent the time-of-use electricity prices for the park to purchase and sell electricity from / to the power grid in the th time period; and respectively represent the power for the park to purchase from the power grid and the power for the park to sell to the power grid in the th time period; represents the demand electricity price; and respectively represent the maximum demand load of the park in the current month and the number of days in the current month, that is, the second item in the park-grid transaction cost is the enterprise's basic electricity charge evenly distributed to each day of the current month; represents the total number of time periods per day in the park, which can be set according to the actual application scenario. For example, it can be set to 96 time periods.

[0088] Obtain the micro gas turbine cost expression according to the power generation power and fuel cost coefficient of the micro gas turbine; that is, the micro gas turbine cost expression is:

[0089]

[0090] In the formula, represents the micro gas turbine cost; represents the fuel cost coefficient of the micro gas turbine; represents the power generation power of the gas turbine at the

[0091] Based on the electricity consumption power and operation and maintenance cost coefficient of the air-conditioning load, an expression for the operation and maintenance cost of the air-conditioning load is obtained; that is, the expression for the operation and maintenance cost of the air-conditioning load is:

[0092]

[0093] In the formula, represents the operation and maintenance cost of the air-conditioning load; represents the operation and maintenance cost coefficient of the air-conditioning refrigeration system; represents the electricity consumption power of the air conditioner at the t-th hour of each day.

[0094] Based on the charging power, discharging power, charging efficiency, discharging efficiency and energy storage operation depreciation cost coefficient of the distributed energy storage, an expression for the depreciation cost of the energy storage device is obtained; that is, the expression for the depreciation cost of the energy storage device is:

[0095]

[0096] In the formula, represents the depreciation cost of the energy storage device; is the energy storage operation depreciation cost coefficient; and respectively represent the charging power and discharging power of the energy storage in the t-th time period; respectively represent the charging efficiency and discharging efficiency of the energy storage.

[0097] Based on the curtailment power of wind, curtailment power of light, curtailment cost coefficient of wind and curtailment cost coefficient of light of the distributed power source, an expression for the curtailment penalty cost of wind and light of the distributed power source is obtained; that is, the expression for the curtailment penalty cost of wind and light of the distributed power source is:

[0098]

[0099] In the formula, represents the curtailment penalty cost of wind and light of the distributed power source; and respectively represent the curtailment power of wind and curtailment power of light at time t; and respectively represent the curtailment cost coefficient of wind and curtailment cost coefficient of light.

[0100] Based on the expression for the transaction cost between the park and the power grid, the expression for the cost of the micro gas turbine, the expression for the operation and maintenance cost of the air-conditioning load, the expression for the depreciation cost of the energy storage device and the expression for the curtailment penalty cost of wind and light of the distributed power source, an expression for the operation cost of the park is obtained; that is, the expression for the operation cost of the park is:

[0101]

[0102] Among them, represents the total operation cost of the park.

[0103] According to the park operation cost expression, the objective function of the park operation optimization model is established based on minimizing the park operation cost; that is, the objective function is expressed as: .

[0104] The resource regulation target of the comprehensive park is used as the power flowing into the park by the power grid to construct the constraint conditions of the park operation optimization model; the constraint conditions include:

[0105] 1) The power balance constraint represents the power balance condition of the comprehensive park, which is expressed as:

[0106]

[0107] in, is the power flowing from the power grid into the integrated park in the tth period, which is the resource regulation target allocated to it by the corresponding edge control substation; It is the power of other rigid loads in the park.

[0108] 2) Equipment operation constraints are expressed as:

[0109]

[0110]

[0111]

[0112]

[0113]

[0114]

[0115]

[0116]

[0117] In the formula, and They represent the minimum wind power abandonment and the maximum wind power abandonment respectively; and They represent the minimum abandoned optical power and the maximum abandoned optical power respectively; and Respectively represent the minimum air conditioning power consumption and the maximum air conditioning power consumption; and They represent the minimum gas turbine power generation and the maximum gas turbine power generation respectively; and Respectively represent the minimum energy storage charging power and the maximum energy storage charging power; and respectively represent the minimum energy storage discharge power and the maximum energy storage discharge power; is the state of charge of the distributed energy storage in the t-th period; and represent the minimum state of charge and the maximum state of charge of the distributed energy storage; represents the demand for external gas supply of the triple micro gas turbine in the t-th period; is the natural gas pipeline loss in the t-th period; and respectively represent the maximum natural gas supply and the minimum natural gas supply.

[0118] 3) The maximum demand constraint can be understood as the maximum demand limit condition of the entire park, expressed as:

[0119]

[0120] In the formula, represents the maximum demand load of the park evaluated in the i-th month, that is, through flexible resources to assist rigid loads, the gateway load of the park in that month is made less than the evaluated maximum demand load value, so as to achieve the effect of reducing the basic electricity charge.

[0121] After obtaining the park operation optimization model of each comprehensive park through the above method steps, the existing algorithms for solving the optimization model can be used to optimize and solve it. Finally, the required park resource regulation strategy can be obtained, and reliable energy optimization regulation of each comprehensive park in the region can be realized through the edge control substation.

[0122] Based on the automatic power control of the resources in the region through the edge control substation to achieve the observability, measurability, adjustability and controllability of the regional resources, this embodiment realizes the flexible and low-cost operation management of the internal energy equipment of the park by constructing a park operation optimization model based on the principle of minimizing the operation cost of the comprehensive park, and can more effectively support the stability of the power system and the balance of power supply and demand.

[0123] In addition, in order to ensure that the adjustable capacity of the resources in the entire virtual power plant system can be fully exerted, this embodiment preferably sets that the regional control mode of each edge control substation also includes substation local control, and correspondingly designs the corresponding regional control mode switching logic and the automatic power control logic in the corresponding region; correspondingly, the method further includes:

[0124] When the area control mode is substation local control, the edge control substation generates a corresponding regional resource regulation strategy based on a preset area optimization target; wherein, the preset area optimization target includes one of the area line loss minimization target and the operation cost minimization target, and the construction of the corresponding optimization model can be implemented with reference to relevant existing technologies, as long as it meets the requirement of the edge control substation for reasonable optimization and scheduling of resources within the area, and no specific limitation is made here; that is, when the edge control substation is in substation local control, the local control automatic power regulation strategy in the deployed automatic power control strategy will be activated, and the resources within the area will be regulated by generating a corresponding regional resource regulation strategy based on the preset area optimization target; correspondingly, the regional resource regulation strategy includes the regulation power of each comprehensive park and flexible resource.

[0125] In this embodiment, the designed edge control substation, comprehensive park and flexible resources all have two operation modes: remote control and local control. As Figure 3 shown, there is a flexible and reliable mode switching and execution exit mechanism; that is, the edge control substation can not only support local autonomous operation, but also support remote control operation of the upper-level master station, and each flexible resource can operate locally as required or receive instructions from the upper-level substation for collaborative optimization, making the operation modes of each flexible resource and substation more flexible, effectively ensuring the full play of the adjustable capacity of each flexible resource, and better supporting the safe and stable operation and supply-demand balance of the new power system.

[0126] In the embodiment of the present application, by deploying an edge control sub-station between the master station of the virtual power plant system and the energy terminal, when the virtual power plant system is started, the edge control sub-station sets the resource regulation mode of the integrated park and flexible resources to remote resource control. When the regional control mode is set to sub-station remote control, the edge control sub-station obtains the aggregated adjustable capabilities of each integrated park and flexible resources in real time, and then sends the sub-station regional adjustable capabilities to the master station. The master station generates a sub-station regional adjustment target based on the sub-station regional adjustable capabilities of the edge control sub-station and sends it down. Then, the edge control sub-station decomposes the sub-station regional adjustment target to generate a resource regulation instruction and sends it to the integrated park and flexible resources. When the regional control mode is sub-station local control, the edge control sub-station generates a corresponding regional resource regulation strategy based on a preset regional optimization target. Each edge control sub-station collects the operation status data and desired control signals of the corresponding integrated park and flexible resources in real time to realize the timely switching of the resource regulation mode, and constructs a park operation optimization model according to the resource adjustment target of each integrated park to solve and obtain the corresponding park resource regulation strategy. The technical solution can not only manage the lower-layer resource terminals by adding an edge control sub-station between the master station and the resource terminals, and effectively relieve the data transmission and data processing computing power bearing pressure of the upper-layer master station, but also support local regional autonomous operation and master station remote control operation by deploying regional power adaptive control logic in the edge control sub-station. While making the operation modes of each flexible resource and sub-station more flexible, it can also realize the automatic power regulation of the connected flexible resources and integrated parks, effectively taking into account the automatic power control of resources in the region and energy management optimization, ensuring the full utilization of the adjustable capabilities of each flexible resource, and then continuously and reliably supporting the safe and stable operation and supply-demand balance of the new power system in multiple scenarios.

[0127] It should be noted that although the steps in the above flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise clearly stated in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders.

[0128] In one embodiment, as Figure 4 shown, a flexible resource regulation system based on a regional edge network architecture is provided, which is applied to a virtual power plant system. The virtual power plant system includes a master station, at least one edge control sub-station communicatively connected to the master station, and at least one integrated park and multiple flexible resources communicatively connected to the edge control sub-station. The system includes:

[0129] A mode initialization module 1, configured to, in response to the start of the virtual power plant system, set the resource regulation modes of the corresponding connected integrated parks and flexible resources to remote resource control through each edge control sub-station, and obtain the regional control mode of each edge control sub-station in real time;

[0130] The regional target generation module 2 is configured to, when the regional control mode is set to substation remote control, obtain in real time through the edge control substation the resource adjustable capabilities of each corresponding integrated park and flexible resource, and upload the summarized substation regional adjustable capability to the master station, so that the master station generates corresponding substation regional adjustment targets according to the substation regional adjustable capabilities of each edge control substation and sends them to the corresponding edge control substation;

[0131] The resource power regulation module 3 is configured to, in response to receiving the substation regional adjustment target, decompose the substation regional adjustment target through the edge control substation, and generate resource regulation instructions according to the obtained individual resource adjustment targets and send them to the corresponding integrated park and flexible resource.

[0132] In one embodiment, the resource regulation mode further includes resource local control; the system further includes:

[0133] The resource regulation mode management module is configured to collect in real time through each edge control substation the operation status data and expected control signals of the corresponding integrated park and flexible resource, and update the corresponding resource regulation mode according to the operation status data and the expected control signals; the expected control signals include resource remote control and resource local control.

[0134] In one embodiment, the system further includes:

[0135] The park operation optimization module is configured to construct a corresponding park operation optimization model according to the resource adjustment targets of each integrated park, and obtain a corresponding park resource regulation strategy by solving the park operation optimization model; the park resource regulation strategy includes the regulated power of each energy device in the integrated park.

[0136] In one embodiment, the regional control mode further includes substation local control; the system further includes:

[0137] The substation regional self-control module is configured to, when the regional control mode is the substation local control, generate a corresponding regional resource regulation strategy through the edge control substation based on a preset regional optimization target; the preset regional optimization target includes one of a regional line loss minimization target and an operation cost minimization target; the regional resource regulation strategy includes the regulated power of each integrated park and flexible resource.

[0138] For the specific limitations of the flexible resource regulation system based on the regional edge network architecture, reference can be made to the limitations of the flexible resource regulation method based on the regional edge network architecture in the foregoing text, and the corresponding technical effects can also be equivalently obtained, which will not be elaborated here. Each module in the above flexible resource regulation system based on the regional edge network architecture can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0139] In summary, the flexible resource regulation method and system based on the regional edge network architecture provided by the embodiments of the present invention implement a virtual power plant system applied to include a master station, at least one edge control sub-station communicatively connected to the master station, and at least one integrated park and multiple flexible resources communicatively connected to the edge control sub-station. When the virtual power plant system is started, the resource regulation modes of the respective integrated parks and flexible resources connected correspondingly are set to remote resource control through each edge control sub-station, and the regional control mode of each edge control sub-station is obtained in real time. When the regional control mode is set to sub-station remote control, the resource adjustable capabilities of the respective integrated parks and flexible resources connected correspondingly are obtained in real time through the edge control sub-station, and the sub-station regional adjustable capabilities obtained by summarization are sent to the master station, so that the master station generates corresponding sub-station regional adjustment targets according to the sub-station regional adjustable capabilities of each edge control sub-station and sends them to the corresponding edge control sub-station, and in response to the receipt of the sub-station regional adjustment target, the edge control sub-station decomposes the sub-station regional adjustment target and generates resource regulation instructions according to the obtained respective resource adjustment targets and sends them to the corresponding integrated parks and flexible resources. The technical solution of this method can not only manage the lower-layer resource terminals by adding edge control sub-stations between the master station and the resource terminals and effectively relieve the data transmission and data processing computing power bearing pressure of the upper-layer master station, but also support regional autonomous operation and master station remote control operation by deploying regional power adaptive control logic in the edge control sub-station, realize automatic power regulation of the connected flexible resources and integrated parks, and be able to balance regional resource automatic power control and energy management optimization, so as to continuously and reliably meet the application requirements of grid frequency stability and supply-demand balance in multiple scenarios.

[0140] Each embodiment in this specification is described in a progressive manner. For the parts that are the same or similar in each embodiment, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiment. It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as within the scope described in this specification.

[0141] The above embodiments only represent several preferred embodiments of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and substitutions can be made, and these improvements and substitutions should also be regarded as within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the protection scope of the claimed rights.

Claims

1. A flexible resource control method based on regional edge network architecture, characterized in that: Applied to a virtual power plant system, the virtual power plant system includes a master station, at least one edge control substation communicatively connected to the master station, and at least one integrated park and a plurality of flexible resources communicatively connected to the edge control substation; the method includes the following steps: In response to the startup of the virtual power plant system, the resource control mode of each corresponding integrated park and flexible resource connected is set to resource remote control through each edge control substation, and the regional control mode of each edge control substation is obtained in real time; When the regional control mode is set to remote control of the substation, the resource adjustable capacity of each correspondingly connected integrated park and flexible resource is obtained in real time through the edge control substation, and the substation regional adjustable capacity obtained by aggregation is sent to the main station, so that the main station generates the corresponding substation regional adjustment target according to the substation regional adjustable capacity of each edge control substation and the adjustable capacity proportion of the total adjustable capacity of the substation in the corresponding main station range, and sends it to the corresponding edge control substation; the resource adjustable capacity of the flexible resource is the power adjustable capacity obtained by evaluating the actual operation of the flexible resource; the resource adjustable capacity of the integrated park is the cumulative value of the power adjustable capacity of all energy equipment in the integrated park; In response to receiving the substation area adjustment target, the substation area adjustment target is decomposed by the edge control substation, and resource control instructions are generated according to each resource adjustment target obtained and sent to the corresponding integrated park and flexible resources; The resource regulation mode also includes local resource control; the regional control mode also includes local substation control; the method also includes: The operation status data and expected control signals of the corresponding integrated park and flexible resources are collected in real time through each edge control substation, and the corresponding resource regulation mode is updated according to the operation status data and the expected control signals; the expected control signals include remote resource control and local resource control; When the regional control mode is local control of the substation, the edge control substation generates a corresponding regional resource regulation strategy based on the preset regional optimization target, and the edge control substation does not report the substation regional adjustable capability to the main station or reports it by adding a regional control mode label, so that the main station adaptively perceives that the edge control substation does not participate in remote control.

2. The flexible resource control method based on regional edge network architecture according to claim 1, characterized in that: The step of decomposing the substation area adjustment target by the edge control substation includes: According to the adjustable capacity of the substation area, the adjustable resource proportions of each integrated park and flexible resource connected to the edge control substation are calculated respectively; The adjustable proportion of each resource is multiplied by the substation area adjustment target to obtain the corresponding resource adjustment target.

3. The flexible resource control method based on regional edge network architecture according to claim 1, characterized in that: The method further comprises: According to the resource regulation objectives of each comprehensive park, a corresponding park operation optimization model is constructed, and by solving the park operation optimization model, a corresponding park resource regulation strategy is obtained; the park resource regulation strategy includes regulating the power of each energy equipment in the comprehensive park.

4. The flexible resource control method based on regional edge network architecture according to claim 3, characterized in that: The step of constructing a corresponding park operation optimization model according to the resource adjustment target of each comprehensive park includes: Taking minimizing the park operation cost as the optimization goal, establishing the objective function of the park operation optimization model; The resource regulation target of the comprehensive park is used as the power flowing into the park from the power grid, and the constraint conditions of the park operation optimization model are constructed; the constraint conditions include power balance constraints, equipment operation constraints and maximum demand constraints.

5. The flexible resource control method based on regional edge network architecture according to claim 4, characterized in that: The integrated park includes energy storage, distributed power supply, micro gas turbine and air conditioning load; the steps of establishing the objective function of the park operation optimization model with minimizing the park operation cost as the optimization goal include: The difference between the cost of electricity purchased from the power grid and the income from electricity sold to the power grid is used to obtain the power cost of the power grid, and the power cost of the power grid is added to the power cost of the power grid demand to obtain the transaction cost expression between the power grid and the power grid. According to the power generation capacity and fuel cost coefficient of the micro gas turbine, the cost expression of the micro gas turbine is obtained; According to the power consumption of air conditioning load and the operation and maintenance cost coefficient, the expression of air conditioning load operation and maintenance cost is obtained; According to the charging power, discharging power, charging efficiency, discharging efficiency and the depreciation cost coefficient of the distributed energy storage, the depreciation cost expression of the energy storage equipment is obtained; According to the abandoned wind power, abandoned solar power, abandoned wind cost coefficient and abandoned solar cost coefficient of distributed power sources, the penalty cost expression of abandoned wind and abandoned solar power of distributed power sources is obtained; According to the transaction cost expression between the park and the power grid, the cost expression of the micro gas turbine, the operation and maintenance cost expression of the air conditioning load, the depreciation cost expression of the energy storage device and the penalty cost expression of the wind and solar power abandonment of the distributed power supply, the park operation cost expression is obtained; According to the park operation cost expression, the objective function of the park operation optimization model is established based on minimizing the park operation cost.

6. The flexible resource control method based on regional edge network architecture according to claim 5, characterized in that: The transaction cost expression between the park and the power grid is: in, represents the transaction cost between the industrial park and the power grid; and Respectively represent The time-of-use electricity price for purchasing and selling electricity between the park and the power grid in each period; and Respectively represent The power purchased from the power grid and sold to the power grid by the park in each period; represents the demand electricity price; and They represent the maximum demand load of the park in that month and the number of days in that month respectively; Indicates the total number of time periods in the park every day.

7. The flexible resource control method based on regional edge network architecture according to claim 1, characterized in that: The preset regional optimization target includes one of a regional line loss minimization target and an operation cost minimization target; The regional resource regulation strategy includes the regulation power of each integrated park and flexible resources.

8. A flexible resource control system based on regional edge network architecture, characterized in that: Applied to a virtual power plant system, the virtual power plant system comprises a master station, at least one edge control substation communicatively connected to the master station, and at least one integrated park and a plurality of flexible resources communicatively connected to the edge control substation; Applied to the flexible resource control method based on regional edge network architecture as claimed in claim 1, the system comprises: A mode initialization module, which is used to respond to the startup of the virtual power plant system, set the resource control mode of each corresponding integrated park and flexible resource connected to the resource remote control through each edge control substation, and obtain the regional control mode of each edge control substation in real time; A regional target generation module is used for, when the regional control mode is set to remote control of a substation, obtaining the resource adjustable capabilities of the corresponding connected integrated parks and flexible resources in real time through the edge control substation, and sending the aggregated substation regional adjustable capabilities to the master station, so that the master station generates corresponding substation regional adjustment targets according to the substation regional adjustable capabilities of each edge control substation and sends them to the corresponding edge control substation; The resource power regulation module is used to respond to the reception of the substation area regulation target, decompose the substation area regulation target through the edge control substation, and generate resource regulation instructions according to the obtained resource regulation targets and send them to the corresponding integrated park and flexible resources.

9. The flexible resource control system based on regional edge network architecture according to claim 8, wherein the system further comprises: The park operation optimization module is used to construct a corresponding park operation optimization model according to the resource adjustment target of each comprehensive park, and obtain the corresponding park resource regulation strategy by solving the park operation optimization model; The park resource regulation strategy includes regulating the power of each energy device within the integrated park.

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