Flexible resource regulation and control method and system based on regional edge network architecture

Abstract

The invention provides a flexible resource regulation and control method and system based on a regional edge network architecture, and the method comprises the steps: setting a resource regulation and control mode of an integrated park and flexible resources as resource remote control by an edge control substation when a virtual power plant system comprising a main station and an edge control substation connected with the integrated park and the flexible resources is started; when the obtained area control mode of the edge control substation is set as substation remote control, the resource adjustable capabilities of all the comprehensive parks and flexible resources are obtained in real time and summarized to obtain the substation area adjustable capability, the substation area adjustable capability is sent to the main station, and the main station generates a substation area adjustment target according to the substation area adjustable capability of the edge control substation and sends the substation area adjustment target to the edge control substation; and the edge control substation decomposes the substation region adjustment target to generate a resource regulation and control instruction and issues the resource regulation and control instruction to the comprehensive park and the flexible resources. While the workload of the master station is effectively relieved, automatic power control and energy management optimization of resources in the region can be considered, and then the power grid frequency stability and supply and demand balance are continuously guaranteed.

Description

Technical Field

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

[0002] With the access of massive distributed power sources, electric vehicles, distributed energy storage and other "source, load and storage" multi-attribute integrated resources to the power grid, more and more loads are changing from traditional rigidity to "flexibility", and terminal loads are changing from single energy consumption to bidirectional active forms, forming more and more electricity "producers and consumers", resulting in strong uncertainty and volatility on the load side of the power system, profound changes in operation control objects, expansion of control scope to low voltage, exponential growth in control scale, and increasingly diversified control targets, which brings new challenges to the stability and supply and demand balance control of the new power system.

[0003] In order to adapt to the management and control needs of new power systems, existing demand-side management or virtual power plants usually adopt a "1+N" networking architecture of master stations and terminals. Under this management and control architecture, the more terminal measurement and control equipment is connected, the heavier the communication load borne by the master station and the higher the requirements for analysis, processing and network communication, which poses a high capacity risk. At the same time, demand-side management and virtual power plants based on this management and control architecture are mostly based on invitation-based demand response or peak-shaving and valley-filling auxiliary services. The existing power control system cannot achieve real-time and continuous adaptive interactive response, and it is difficult to continuously and reliably ensure the stability of 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 control method based on a regional edge network architecture. By adding an edge control substation between the main station and the resource terminal to manage the lower-level resource terminals, the data transmission and data processing computing power bearing pressure of the upper-level main station can be effectively alleviated. By deploying regional power adaptive control logic at the edge control substation, both regional local operation (autonomous control operation) and master station remote control operation can be supported, thereby realizing automatic power control of access flexible resources and integrated parks. It can take into account automatic power control of resources in the region and energy management optimization, and continuously and reliably meet the application requirements of power grid frequency stability and supply and demand balance in multiple scenarios.

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

[0006] In a first aspect, an embodiment of the present invention provides a flexible resource control method based on a regional edge network architecture, the method comprising the following steps: 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 capabilities of the corresponding connected integrated parks and flexible resources are obtained in real time through the edge control substation, and the substation regional adjustable capabilities obtained are summarized and sent 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; 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 obtained resource adjustment target and sent to the corresponding integrated park and flexible resources.

[0007] Furthermore, 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.

[0008] Furthermore, the resource regulation mode also includes local resource control; the method also includes: The operating 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 operating status data and the expected control signal; the expected control signal includes remote resource control and local resource control.

[0009] Furthermore, 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.

[0010] Furthermore, 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.

[0011] Furthermore, 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 minimization of 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.

[0012] Furthermore, the transaction cost between the park and the power grid is expressed as: 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.

[0013] Furthermore, the regional control mode also includes substation local control; the method also includes: When the regional control mode is the on-site control of the substation, the corresponding regional resource regulation strategy is generated by the edge control substation based on the preset regional optimization target; the preset regional optimization target includes one of the regional line loss minimization target and the operating cost minimization target; the regional resource regulation strategy includes the regulation power of each integrated park and flexible resources.

[0014] In a second aspect, an embodiment of the present invention provides a flexible resource control system based on a regional edge network architecture, which is applied to a virtual power plant system, wherein 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 multiple flexible resources communicatively connected to the edge control substation; the system includes: 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.

[0015] Furthermore, the system further comprises: The park operation optimization module is used to construct a corresponding park operation optimization model according to the resource regulation objectives 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 the power regulation of each energy equipment in the comprehensive park.

[0016] The present application provides a flexible resource control method and system based on a regional edge network architecture. The method is used to implement a virtual power plant system including a main station, at least one edge control substation connected to the main station, and at least one integrated park and multiple flexible resources connected to the edge control substation. When the virtual power plant system is started, the resource control mode of each corresponding integrated park and flexible resource 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 substation remote control, the resource adjustable capacity of each corresponding integrated park and flexible resource is obtained in real time through the edge control substation, and the substation regional adjustable capacity obtained is aggregated and sent to the main station, so that the main station generates corresponding substation regional adjustment targets according to the substation regional adjustable capacity of each edge control substation and sends it to the corresponding edge control substation, and in response to the reception of the substation regional adjustment target, the substation regional adjustment target is decomposed by the edge control substation, and resource control instructions are generated according to the obtained resource adjustment targets and sent to the corresponding integrated park and flexible resource. Technical solution. Compared with the existing technology, this flexible resource regulation method based on the regional edge network architecture can not only realize the management of the lower-level resource terminals by adding edge control substations between the main station and the resource terminals and effectively alleviate the data transmission and data processing computing power bearing pressure of the upper-level main station, but also support regional automatic control operation and master station remote control operation by deploying regional power adaptive control logic at the edge control substation, thereby realizing automatic power regulation of access flexible resources and integrated parks, and taking into account the automatic power control of resources in the region and the optimization of energy management, thereby continuously and reliably meeting the application requirements of grid frequency stability and supply and demand balance in multiple scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a schematic diagram of a network architecture of a virtual power plant system according to an embodiment of the present invention; Figure 2 It is a flow chart of a flexible resource control method based on a regional edge network architecture in an embodiment of the present invention; Figure 3 It is a schematic diagram of the operation flow of the regional control mode switching and exit mechanism of the edge control substation in an embodiment of the present invention; Figure 4 It is a structural diagram of a flexible resource control system based on a regional edge network architecture in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and beneficial effects of the present application clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the embodiments described below are part of the embodiments of the present invention and are only used to illustrate the present invention, but are not used to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The flexible resource control method based on regional edge network architecture provided by the present invention can be understood as a method based on Figure 1 The network architecture shown is implemented to implement a resource control method for automatic control of flexible resource power within a virtual power plant or a demand side management platform. The following embodiments will describe in detail the flexible resource control method based on the regional edge network architecture of the present invention.

[0020] In one embodiment, Figure 2 As shown, a flexible resource control method based on a regional edge network architecture is provided, which is applied to a virtual power plant system, wherein the virtual power plant system is as follows Figure 1 The shown system includes a master station located at the first layer (virtual power plant master station layer), at least one edge control substation located at the second layer (edge ​​layer) and communicatively connected to the master station, and at least one integrated park and multiple flexible resources located at the third layer (terminal layer) and communicatively connected to the edge control substation; the master station at the first layer can be connected to the dispatching automation system, the new power load management system, the trading center, etc. to realize the information and demand interaction between the virtual power plant and the power system, and can be connected to the edge control substation at the second layer and the flexible resources it contains, and can also directly access other flexible controllable resources at the third layer to realize the collection of massive information, the calculation of adjustable capacity and the one-time aggregation function.

[0021] 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.

[0022] 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.

[0023] 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: S11. In response to the startup of the virtual power plant system, the resource control mode of the corresponding connected integrated parks and flexible resources is set to remote resource control through each edge control substation, and the regional control mode of each edge control substation is obtained in real time; wherein, the resource control mode can be understood as the operation mode of the integrated park and flexible resources managed by the edge control substation. In order to facilitate the management by the edge control substation, when the system is started, it is set by default to receive the remote resource control controlled by the edge control substation, that is, the integrated park and flexible resources can receive the power control instructions issued by the corresponding edge control substation for operation. At the same time, the regional control mode can be understood as a mode mark corresponding to whether the edge control substation receives the power control instructions of the upper master station. In actual applications, the regional control mode of each edge control substation can be adjusted at any time according to the actual application scenario requirements. In order to facilitate the perception of the control needs of the master station and timely adaptively control the flexible resource power in each substation area based on this, it is preferred to set each edge control substation to support remote control of resources and initialize it to this mode when the system starts. It will be adjusted later according to application requirements, that is, it can receive the control targets issued by the master station and reasonably schedule the flexible resources in the domain accordingly.

[0024] S12. When the regional control mode is set to substation remote control, the resource adjustable capabilities of the corresponding connected integrated parks and flexible resources are obtained in real time through the edge control substation, and the summarized substation regional adjustable capabilities are sent to the main station, so that the main 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.

[0025] The resource adjustable capability of the flexible resources in this embodiment can be understood as the power adjustable capability obtained based on the evaluation of the actual operation conditions of various flexible resources, including the adjustable capability and the adjustable capability. The specific acquisition process is as follows: 1) When the flexible resource is distributed energy storage, the real-time power can be positive or negative, then: in, and They represent the adjustable capacity and adjustable capacity of the i-th distributed energy storage respectively; and They represent the rated power and real-time power of the i-th distributed energy storage respectively; and represents the reverse power protection limit and overload protection limit of the i-th distributed energy storage; Represents the grid connection point power of the i-th distributed energy storage.

[0026] 2) When the flexible resource is distributed renewable energy (photovoltaic or wind power), the real-time power is only positive, then: in, and They represent the upward and downward adjustment capabilities of the mth distributed renewable energy source respectively; , and They represent the real-time power generation, predicted power generation and minimum power generation limit of the mth distributed renewable energy source, respectively. The minimum power generation limit can be 0 or set according to demand. It should be noted that when the distributed renewable energy source is not adjusted and is at the current maximum power generation (predicted power generation) hour, However, for distributed renewable energy sources that have already participated in the regulation, there is still room for upward regulation.

[0027] 3) When the flexible resource is a charging pile, the real-time power is only negative, then: in, and They represent the upward and downward adjustable capabilities of the nth charging pile respectively; , and Respectively represent the real-time charging power, predicted charging power and minimum charging power limit of the nth charging pile, which are negative numbers or 0 and can be set according to needs; it should be noted that when the charging pile is not adjusted and is at the current maximum power charging hour, However, for the charging piles that have already participated in the regulation, there is still a certain room for downward adjustment.

[0028] 4) When the flexible resource is a fast adjustable industrial and commercial load, the real-time power is only negative, then: in, and They represent the upward and downward adjustable capabilities of the lth adjustable industrial and commercial load respectively; , and They respectively represent the real-time load value, minimum load limit and maximum load limit of the lth adjustable industrial and commercial load, and the minimum load limit and the maximum load limit can be set according to actual application requirements.

[0029] In this embodiment, the resource adjustable capacity of the comprehensive park can be understood as the overall power adjustable capacity of the park obtained by evaluating the actual operating conditions of energy equipment such as micro-turbines, distributed power sources, flexible adjustable loads and energy storage within the comprehensive park. It can be obtained by directly adding up the power adjustable capabilities of all energy equipment in the comprehensive park, and also includes the corresponding upward and downward adjustable capabilities. It should be noted that the power adjustable capacity corresponding to each energy equipment in the comprehensive park can be obtained by referring to the above-mentioned flexible resource adjustable capacity acquisition method or existing related acquisition technology, which will not be repeated here.

[0030] After each edge control substation obtains the resource adjustable capacity of each corresponding integrated park and flexible resource connected in the above manner, it can summarize the corresponding substation regional adjustable capacity by accumulating the resource adjustable capacity of all flexible resources and all integrated parks and send it to the master station, so that the master station can allocate power control targets according to the substation regional adjustable capacity of each edge control substation; it should be noted that in actual applications, the power control target allocated by the master station is determined according to the actual operating conditions of the power system, which can be an upward adjustment target or a downward adjustment target. The method for the master station to decompose the power control target according to the substation regional adjustable capacity of each edge control substation can be selected according to the actual application requirements. For example, the total adjustable capacity of the substation in the master range can be obtained according to the substation regional adjustable capacity of each edge control substation, and then the adjustable capacity proportion of the substation regional adjustable capacity of each edge control substation corresponding to the total adjustable capacity of the substation in the master range is calculated respectively, and each adjustable capacity proportion is multiplied by the total power control target of the master station to obtain the corresponding substation regional adjustment target.

[0031] It should be noted that here the basis for the master station to decompose the power control target according to the substation area adjustable capacity of the edge control substation is that the area control mode of the edge control substation corresponding to all substation area adjustable capabilities received by the master station is set to substation remote control, that is, the edge control substation whose area control mode is not substation remote control does not report the corresponding substation area adjustable capacity to the master station, or when reporting, it informs the master station that it does not participate in remote control by adding a regional control mode label, which does not need to be considered when decomposing the control target, thereby enabling the master station to adaptively perceive the lower-level edge control substations and corresponding flexible resources and / or integrated parks participating in remote control, thereby realizing flexible control of the power system energy.

[0032] S13. In response to receiving the substation area adjustment target, the substation area adjustment target is decomposed by the edge control substation, and resource adjustment instructions are generated according to the obtained resource adjustment targets and sent to the corresponding integrated parks and flexible resources; wherein, the substation area adjustment target decomposition can be understood as the edge control substation starting the remote control operation automatic power control strategy in the deployed automatic power control strategy to decompose the power adjustment target allocated by the main station it receives to all the integrated parks and / or flexible resources under its remote resource control.

[0033] In this embodiment, when the integrated park and flexible resources are operating normally, the corresponding resource control mode is defaulted to be the remote resource control at the initial system startup, and in order to ensure that the adjustable capacity of various resources is maximized while the various resources are used in a coordinated manner, this embodiment preferably decomposes the substation area adjustment target according to the proportion of resource control capacity supporting substation control within the region; specifically, the step of decomposing the substation area adjustment target by the edge control substation includes: According to the substation area adjustable capacity, the resource adjustable proportion of each integrated park and flexible resource connected to the edge control substation is calculated respectively; wherein, the resource adjustable proportion can be understood as the proportion of the resource adjustable capacity of each integrated park or flexible resource that supports edge control substation regulation (operating in remote resource control) in the substation area adjustable capacity.

[0034] The adjustable ratio of each resource is multiplied by the substation area adjustment target to obtain the corresponding resource adjustment target; wherein the resource adjustment target is expressed as: In the formula, represents the hth resource adjustment target in the kth edge control substation area; and denote the upward adjustment target and downward adjustment target of the substation area of ​​the kth edge control substation respectively; and They represent the substation area up-regulation capability and down-regulation capability of the kth edge control substation respectively; and They respectively represent the upward adjustment capability and downward adjustment capability of the hth resource (integrated park or flexible resource) in the kth edge control substation area.

[0035] After obtaining the resource adjustment targets (upward or downward targets) of all integrated parks and flexible resources participating in remote control in the edge control substation through the above method, resource control instructions can be generated and sent to the corresponding integrated parks or flexible resources to perform power control on them, and the control targets of the corresponding substations can be achieved through the coordinated cooperation of resources in the edge control substation area, and then all edge control substations can cooperate to meet the power control needs of the entire main station.

[0036] This embodiment implements the management of lower-level resource terminals by the intermediate edge control substation layer by adding an edge control substation between the main station and the resource terminal. This can not only effectively alleviate the pressure on the data transmission and data processing computing power of the upper-level main station, but also realize automatic power remote control of access flexible resources and integrated parks based on the comprehensive control needs of the main station by deploying regional power adaptive control logic at the edge control substation, taking into account automatic power control of resources in the region and optimization of integrated park management, and supporting grid frequency stability and supply and demand balance in multiple scenarios.

[0037] Taking into account that during the operation of the actual virtual power plant system, some flexible resources or integrated parks may experience failures, maintenance, shutdowns, and other operating conditions that are not suitable for remote control operations, in order to ensure the rationality and reliability of remote control of resources in each edge control substation area, this implementation preferably sets the resource control mode to also include local resource control. When the edge control substation detects that one or some resources in the area are operating abnormally, or one or some resources actively exit remote resource control, the corresponding edge control substation switches its corresponding resource control mode from remote resource control to local resource control. Specifically, the method also includes: The operation status data and expected control signals of the corresponding integrated parks and flexible resources are collected in real time through each edge control substation, and the corresponding resource control mode is updated according to the operation status data and the expected control signal; wherein, the operation status data of the integrated parks and flexible resources may include corresponding telemetry, remote control, remote communication and remote adjustment and other related data, and may also include the response rate, response error and response delay after the resource performs remote control, etc., which reflects the response performance of each integrated park and flexible resource. Among them, the response rate can be understood as the quotient of the resource response amount divided by the difference between the time from the issuance of the control instruction to the arrival of the resource response and the time period of the regular data collection cycle, expressed as: K1=L / (TT o ), L is the resource response amount; T is the time it takes for the flexible resource to respond after the command is issued; T o Indicates the duration of the periodic data collection cycle; the response error can be understood as the difference between the power value after the resource response and the corresponding control target value divided by the quotient of the substation area adjustable capacity, expressed as: K2=(L1-L0) / P total , L1 and L0 are the power value and target value after resource response, Ptotal is the corresponding substation regional adjustable capacity (the total adjustable capacity of the substation aggregated resources); the response delay can be understood as the time difference between the time when the resource receives the control instruction and the time when the response is initiated. It should be noted that after the edge control substation collects the operating status data of the corresponding integrated park and flexible resources in real time, it can conduct a comprehensive analysis of the operating status data to timely identify resources that may have faults, and switch the resource control mode of the identified faulty resources to local control to ensure the rationality and effectiveness of the subsequent edge control substation control target allocation; the specific comprehensive analysis method of the operating status data can be set according to the actual application scenario requirements, and is not limited here.

[0038] Resource local control can be understood as the integrated park and flexible resources can be operated according to their own power generation or power consumption needs, while the corresponding resource remote control is operated by the edge control substation of the edge layer. In order to ensure the flexible management and control of resources in 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 in the area has the right to directly send "remote control" or "local operation" and other desired control signals to the corresponding edge control substation by means of a control function pressure plate according to actual operation needs, that is, the desired control signal includes resource remote control and resource local control, supports flexible exit of resource remote control, and makes the resource operation mode more in line with the actual operation scenario and application requirements; when one or some resources send resource local control, it indicates that it will no longer participate in the subsequent remote control power target allocation of the corresponding edge control substation, and only when it sends the resource remote control signal again can it participate in the subsequent remote control operation of the edge control substation.

[0039] After obtaining the resource adjustment target of the integrated park in each edge control substation area through the above method steps, it is necessary to further reasonably dispatch all relevant energy equipment in the park based on the resource adjustment target to cooperate with the realization of the adjustment target of the corresponding edge control substation. In order to ensure the rationality of resource adjustment of each integrated park, this embodiment preferably optimizes the management of energy equipment in the entire park based on the obtained integrated park resource adjustment target. Specifically, the method also includes: 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.

[0040] Specifically, 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, the objective function of the park operation optimization model is established; wherein, the park operation cost can be understood as the total park operation and maintenance cost calculated based on the historical curve and real-time status of the source, storage, and load of the comprehensive park, combined with the two-part electricity price of "demand electricity charge + electricity charge" of the park.

[0041] In this embodiment, it is preferred to configure the integrated park to include energy storage, distributed power supply, micro gas turbine and air conditioning load; correspondingly, 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 from the power grid is used to obtain the power cost of the power grid. The power cost of the power grid is then added to the power cost of the power grid demand to obtain the transaction cost expression between the power grid and the park. That is, the transaction cost expression between the power grid and the park is: in, It represents the transaction cost between the park and the power grid, which is equal to the total cost of the integrated park purchasing electricity from the power grid through the interconnection line minus the total income from selling electricity to the power grid, plus the basic electricity fee of the demand charge; 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, that is, the second item in the transaction cost between the park and the power grid is the basic electricity fee of the enterprise amortized to each day of that month; Indicates the total number of time periods in the park every day, which can be set according to the actual application scenario, for example, it can be set to 96 time periods.

[0042] 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; that is, the cost expression of the micro gas turbine is: In the formula, represents the microturbine cost; represents the fuel cost factor of the microturbine; It represents the power generation of the gas turbine in the tth period of each day.

[0043] According to the power consumption and operation and maintenance cost coefficient of the air conditioning load, the operation and maintenance cost expression of the air conditioning load is obtained; that is, the operation and maintenance cost expression of the air conditioning load is: In the formula, represents the operation and maintenance cost of air conditioning load; Indicates the operation and maintenance cost coefficient of the air conditioning and refrigeration system; Indicates the power consumption of the air conditioner at hour t every day.

[0044] 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; that is, the depreciation cost expression of the energy storage equipment is: In the formula, represents the depreciation cost of energy storage equipment; is the depreciation cost coefficient for energy storage operation; and They represent the charging power and discharging power of the energy storage in the tth period respectively; They represent the energy storage charging efficiency and discharging efficiency respectively.

[0045] 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; that is, the penalty cost expression of abandoned wind and abandoned solar power of distributed power sources is: In the formula, It represents the penalty cost of wind and solar power abandonment of distributed generation; and They represent the abandoned wind power and abandoned solar power at time t respectively; and They represent the wind power abandonment cost coefficient and the solar power abandonment cost coefficient respectively.

[0046] According to the transaction cost expression between the park and the power grid, the micro gas turbine cost expression, the air conditioning load operation and maintenance cost expression, the energy storage equipment depreciation cost expression and the distributed power supply wind and solar abandonment penalty cost expression, the park operation cost expression is obtained; that is, the park operation cost expression is: in, Represents the total operating cost of the park.

[0047] 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: .

[0048] 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: 1) The power balance constraint represents the power balance condition of the comprehensive park, which is expressed as: 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.

[0049] 2) Equipment operation constraints are expressed as: 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 tth period; and Indicates the minimum state of charge and maximum state of charge of distributed energy storage; It represents the demand for external gas supply of the triple micro gas turbine in the t period; is the natural gas pipeline network loss in period t; and They represent the maximum natural gas supply and the minimum natural gas supply respectively.

[0050] 3) The maximum demand constraint can be understood as the maximum demand restriction condition of the entire park, expressed as: In the formula, It represents the maximum demand load of the park evaluated in the i-th month, that is, by assisting the rigid load with flexible resources, the threshold load of the park in that month is less than the evaluated maximum demand load value, thereby achieving the effect of reducing the basic electricity charge.

[0051] After obtaining the park operation optimization model of each integrated park through the above method steps, the relevant algorithms for solving the existing optimization model can be used to optimize and solve it, and finally the required park resource regulation strategy can be obtained to achieve reliable energy optimization regulation of each integrated park in the region through the edge control substation.

[0052] This embodiment realizes the observability, measurability, adjustability and controllability of regional resources by automatically controlling the power of resources in the area through the edge control substation. It also realizes flexible and low-cost operation management of energy equipment within the park by constructing a park operation optimization model based on the principle of minimizing the comprehensive park operation cost, which can more effectively support the stability of the power system and the balance of supply and demand.

[0053] In addition, in order to ensure that the adjustable capacity of resources in the entire virtual power plant system can be fully utilized, the present embodiment preferably sets the regional control mode of each edge control substation to also include substation local control, and corresponding regional control mode switching logic and matching regional automatic power control logic are designed accordingly; correspondingly, the method also includes: When the regional control mode is the on-site control of the substation, the corresponding regional resource regulation strategy is generated by the edge control substation based on the preset regional optimization target; wherein, the preset regional optimization target includes one of the regional line loss minimization target and the operating cost minimization target, and the corresponding optimization model construction can be implemented by referring to the relevant existing technology, and it is only necessary to meet the edge control substation's reasonable optimization and scheduling requirements for regional resources, and no specific limitation is made here; that is, when the edge control substation is in the substation on-site control, the on-site control automatic power regulation strategy in the deployed automatic power control strategy will be started, and the resources in the region will be regulated by generating the corresponding regional resource regulation strategy based on the preset regional optimization target; correspondingly, the regional resource regulation strategy includes the regulation power of each integrated park and flexible resources.

[0054] The edge control substation, integrated park and flexible resources designed in this embodiment all have two operation modes: remote control and local control. Figure 3As shown, a flexible and reliable mode switching and execution exit mechanism is provided; that is, the edge control substation can support both local autonomous operation and remote control operation of the upper master station, and each flexible resource can operate locally as needed or receive instructions from the upper substation for collaborative optimization, making the operation mode of each flexible resource and substation more flexible, which can effectively ensure that the adjustable capacity of each flexible resource is fully utilized, and can better support the safe and stable operation and supply and demand balance of the new power system.

[0055] The embodiment of the present application deploys an edge control substation between the main station and the energy terminal of the virtual power plant system. When the virtual power plant system is started, the edge control substation sets the resource regulation mode of the integrated park and flexible resources to remote resource control. When the regional control mode is set to remote substation control, the resource adjustable capabilities of each integrated park and flexible resource are obtained in real time, and the substation regional adjustable capabilities are summarized and sent to the main station. The main station generates substation regional regulation targets based on the substation regional adjustable capabilities of the edge control substation and sends them down. The edge control substation then decomposes the substation regional regulation targets to generate resource regulation instructions and sends them to the integrated park and flexible resources. When the regional control mode is on-site substation control, the edge control substation generates a corresponding regional resource regulation strategy based on the preset regional optimization target, and each edge control substation collects the operating status data and expected control signals of the corresponding integrated park and flexible resources in real time. The technical solution used to achieve timely switching of resource control modes and to build a park operation optimization model according to the resource regulation targets of each integrated park to solve the corresponding park resource control strategy can not only achieve the management of lower-level resource terminals by adding edge control substations between the main station and the resource terminals and effectively alleviate the data transmission and data processing computing power carrying pressure of the upper-level main station, but also support local regional autonomous operation and master station remote control operation by deploying regional power adaptive control logic at the edge control substation, making the operation mode of each flexible resource and substation more flexible, and realizing automatic power control of connected flexible resources and integrated parks, effectively taking into account the automatic power control of resources in the region and energy management optimization, ensuring that the adjustable capacity of each flexible resource is fully utilized, and then continuously and reliably supporting the safe, stable operation and supply and demand balance of new power systems in multiple scenarios.

[0056] 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 specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders.

[0057] In one embodiment, Figure 4As shown, a flexible resource control system based on a regional edge network architecture is provided, which is applied to a virtual power plant system, wherein 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 system includes: Mode initialization module 1, used for responding to the startup of the virtual power plant system, setting the resource control mode of each corresponding integrated park and flexible resource connected to the resource remote control through each edge control substation, and obtaining the regional control mode of each edge control substation in real time; The regional target generation module 2 is used for, when the regional control mode is set to remote control of the 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 the corresponding substation regional adjustment target according to the substation regional adjustable capabilities of each edge control substation and sends it to the corresponding edge control substation; The resource power regulation module 3 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.

[0058] In one embodiment, the resource control mode further includes local resource control; the system further includes: The resource regulation mode management module is used to collect the operating status data and expected control signals of the corresponding integrated park and flexible resources in real time through each edge control substation, and update the corresponding resource regulation mode according to the operating status data and the expected control signal; the expected control signal includes remote resource control and local resource control.

[0059] In one embodiment, the system further comprises: The park operation optimization module is used to construct a corresponding park operation optimization model according to the resource regulation objectives 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 the power regulation of each energy equipment in the comprehensive park.

[0060] In one embodiment, the regional control mode further includes substation local control; the system further includes: The substation area self-control module is used to generate a corresponding regional resource regulation strategy based on a preset regional optimization target through the edge control substation when the regional control mode is the local control of the substation; the preset regional optimization target includes one of the regional line loss minimization target and the operating cost minimization target; the regional resource regulation strategy includes the regulation power of each integrated park and flexible resources.

[0061] For the specific limitations of the flexible resource control system based on the regional edge network architecture, please refer to the limitations of the flexible resource control method based on the regional edge network architecture mentioned above. The corresponding technical effects can also be obtained equivalently, which will not be repeated here. Each module in the above-mentioned flexible resource control system based on the regional edge network architecture can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0062] In summary, an embodiment of the present invention provides a flexible resource control method and system based on a regional edge network architecture. The flexible resource control method based on the regional edge network architecture is implemented in a virtual power plant system including a main station, at least one edge control substation communicatively connected to the main station, and at least one integrated park and multiple flexible resources communicatively connected to the edge control substation. When the virtual power plant system is started, 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 substation remote control, the resource adjustable capacity of each corresponding integrated park and flexible resource connected is obtained in real time through the edge control substation, and the substation regional adjustable capacity obtained is summarized and sent to the main station, so that the main station can adjust the resource according to the substation regional control mode of each edge control substation. The domain adjustable capability generates the corresponding substation regional adjustment target and sends it to the corresponding edge control substation, and in response to the reception of the substation regional adjustment target, the substation regional adjustment target is decomposed by the edge control substation, and resource control instructions are generated according to the obtained resource adjustment targets and sent to the corresponding integrated park and flexible resources. The technical solution, this method can not only achieve the management of the lower-level resource terminals by adding edge control substations between the main station and the resource terminals and effectively alleviate the data transmission and data processing computing power carrying pressure of the upper-level main station, but also support regional autonomous operation and master station remote control operation by deploying regional power adaptive control logic at the edge control substation, realize automatic power control of access flexible resources and integrated parks, and can take into account the automatic power control of resources in the region and energy management optimization, so as to continuously and reliably meet the application requirements of grid frequency stability and supply and demand balance in multiple scenarios.

[0063] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and 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, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0064] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.

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 capabilities of the corresponding connected integrated parks and flexible resources are obtained in real time through the edge control substation, and the substation regional adjustable capabilities obtained are summarized and sent 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; 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 obtained resource adjustment target and sent to the corresponding integrated park and flexible resources.

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 resource control mode also includes local resource control; the method also includes: The operating 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 operating status data and the expected control signal; the expected control signal includes remote resource control and local resource control.

4. The flexible resource control method based on regional edge network architecture according to claim 1 or 3, 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.

5. The flexible resource control method based on regional edge network architecture according to claim 4, 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.

6. The flexible resource control method based on regional edge network architecture according to claim 5, 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.

7. The flexible resource control method based on regional edge network architecture according to claim 6, 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.

8. The flexible resource control method based on regional edge network architecture according to claim 1, characterized in that: The regional control mode also includes substation local control; the method also includes: When the regional control mode is the on-site control of the substation, the corresponding regional resource regulation strategy is generated by the edge control substation based on the preset regional optimization target; the preset regional optimization target includes one of the regional line loss minimization target and the operating cost minimization target; the regional resource regulation strategy includes the regulation power of each integrated park and flexible resources.

9. 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 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 system includes: 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, which is used to obtain the resource adjustable capabilities of each corresponding integrated park and flexible resource connected in real time through the edge control substation when the regional control mode is set to substation remote control, and to aggregate the obtained substation regional adjustable capabilities and send them 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.

10. The flexible resource control system based on regional edge network architecture according to claim 9, 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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