Power distribution network energy storage control method and system under main distribution micro-regulation framework

Abstract

The invention provides a power distribution network energy storage control method and system under a main distribution micro-regulation framework, and relates to the technical field of power distribution network energy storage control, and the method comprises the steps: constructing an energy storage integrated graph model under the main distribution micro-regulation framework; executing energy storage site selection and constant volume calculation based on the energy storage integrated graph model, and determining site selection nodes and constant volume configuration parameters; determining a to-be-configured energy storage device set based on the site selection node and the constant volume configuration parameters, and constructing an energy storage hierarchical control mechanism of main distribution micro power balance; executing hierarchical response under power disturbance based on an energy storage hierarchical control mechanism to obtain a smooth control scheme; and dynamically correcting the smooth control scheme to obtain a correction feedback result. The technical problem of poor energy storage control quality of the power distribution network in the prior art can be solved, and the technical effect of improving the energy storage control quality of the power distribution network is achieved.

Description

Technical Field

[0001] This application relates to the field of distribution network energy storage control technology, and in particular to distribution network energy storage control methods and systems under the framework of main and distribution micro-control. Background Technology

[0002] With the continuous advancement of new power system construction and the rapid integration of distributed power sources, large-scale photovoltaic power, and various types of microgrids on the distribution side, the distribution network has gradually evolved from a traditional unidirectional power supply structure into a complex system with high coupling between power sources, grids, loads, and storage. Power exchange between the main grid, distribution network, and microgrids is frequent, and their operating states exhibit greater time-varying and uncertainties. Random fluctuations in distributed power output, rapid changes in load-side electricity consumption, and frequent switching between grid-connected and off-grid operation of microgrids place higher demands on the distribution network in terms of voltage stability, power balance, and operational reliability. There is an urgent need to utilize flexible resources such as energy storage for regulation to effectively suppress short-term power fluctuations and dynamically support the grid's operating status.

[0003] Currently, most existing energy storage configuration and control technologies for distribution networks treat energy storage as an independent device for localized and static configuration, lacking the ability to perform unified modeling and system design from the perspective of multi-level coordinated operation from the main grid, distribution network to microgrids. On the one hand, existing technologies typically analyze energy storage site selection and capacity determination based on single electrical indicators or local operating conditions, failing to fully consider the comprehensive impact of distribution network topology, power flow distribution characteristics, and distributed power fluctuations on energy storage regulation effects. This results in energy storage configurations failing to provide stable support in multiple scenarios. On the other hand, in the energy storage operation and control phase, existing methods often employ centralized or simple hierarchical control strategies, failing to clearly distinguish the functional boundaries between main grid coordinated regulation, distribution network regional coordination, and microgrid autonomous control. This easily leads to problems such as unreasonable energy storage scheduling sequences, repeated use of regulation resources, or excessively high regulation costs, thereby exacerbating frequent charging and discharging and lifespan degradation of energy storage devices. Furthermore, existing technologies generally lack dynamic correction mechanisms based on operational feedback, making it difficult to adaptively adjust energy storage regulation strategies when the grid operating state changes, resulting in a gradual deterioration of control effects over time.

[0004] In summary, existing technologies suffer from several problems. These include the lack of a unified modeling method for the coordinated operation of the main power grid, distribution network, and microgrid; the lack of a systematic characterization of the intrinsic relationship between energy storage site selection, capacity determination, and operation control; and the lack of a dynamic regulation mechanism based on hierarchical control and closed-loop feedback. As a result, energy storage configuration and regulation decisions cannot accurately reflect its true contribution to the short-term flexibility of the distribution network, which further affects the power balance capability, operational stability, and power supply quality of the distribution network under conditions of high proportion of distributed power source access. Summary of the Invention

[0005] The purpose of this application is to provide a distribution network energy storage control method and system under the framework of main grid, distribution network and microgrid micro-control, in order to solve the technical problems in the existing technology. These problems include the lack of a unified modeling method for the coordinated operation of the main grid, distribution network and microgrid, the lack of a systematic characterization of the intrinsic relationship between energy storage location and capacity determination and operation control, and the lack of a dynamic control mechanism based on hierarchical control and closed-loop feedback. As a result, the energy storage configuration and control decisions cannot accurately reflect its true contribution to the short-term flexibility of the distribution network, and further affect the power balance capability, operation stability and power supply quality of the distribution network under the condition of high proportion of distributed power source access.

[0006] In view of the above problems, this application provides a method and system for energy storage control of distribution networks under the framework of main and distribution micro-control.

[0007] Firstly, this application provides a distribution network energy storage control method under a main-distribution micro-control framework, implemented through a distribution network energy storage control system under the main-distribution micro-control framework. The method includes: constructing an integrated energy storage graphical model under the main-distribution micro-control framework; performing energy storage site selection and capacity determination calculations based on the integrated energy storage graphical model to determine site selection nodes and capacity configuration parameters; determining the set of energy storage devices to be configured based on the site selection nodes and capacity configuration parameters, and constructing a hierarchical energy storage control mechanism for main-distribution micro-power balance; executing a hierarchical response under power disturbances based on the hierarchical energy storage control mechanism to obtain a smooth control scheme; and dynamically correcting the smooth control scheme to obtain a correction feedback result.

[0008] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: obtaining the operating status parameters of the grid nodes in the main grid, distribution network, and microgrid within the target distribution network area; based on the operating status parameters, mapping the grid nodes as graph nodes and mapping the electrical connection relationships of the grid nodes as edges to generate an initial integrated energy storage graph model; configuring the energy storage attribute parameters of the grid nodes in the initial integrated energy storage graph model to obtain the integrated energy storage graph model.

[0009] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: the energy storage attribute parameters include power regulation capability, energy capacity constraint and response time characteristics.

[0010] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: constructing a multi-dimensional feature vector set by combining the voltage sensitivity characteristics, power flow distribution characteristics and power fluctuation characteristics of candidate nodes; and constructing an energy storage configuration scheme diagram based on the multi-dimensional feature vector set to determine the site selection nodes and capacity configuration parameters.

[0011] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: performing structural accessibility constraint screening on the grid nodes in the distribution network within the target distribution network area to obtain a first layer of candidate nodes; performing electrical effectiveness constraint screening on the first layer of candidate nodes to obtain a second layer of candidate nodes; and performing regulation value constraint screening on the second layer of candidate nodes to obtain the candidate nodes.

[0012] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: obtaining the configuration cost parameters, power capacity constraint parameters and energy capacity constraint parameters corresponding to the candidate nodes, and combining them with the multi-dimensional constraint conditions of the energy storage configuration characteristics; using the multi-dimensional constraint conditions as the drawing boundary and the multi-dimensional feature vector set as the drawing paper, performing the drawing of the energy storage configuration scheme diagram with the contribution of the distribution network short-term flexibility support as the drawing pen, to obtain the energy storage configuration scheme diagram.

[0013] Preferably, the distribution network energy storage control method under the main-distribution micro-control framework further includes: constructing a hierarchical energy storage control mechanism for coordinated operation of the main grid, distribution network, and microgrid based on the type of electrical access node in which the energy storage devices are aggregated in the distribution network and the controllable range of the energy storage devices within the target distribution network area; wherein, in the hierarchical energy storage control mechanism, the energy storage devices participating in the power exchange regulation between the main grid and the distribution network are configured as the main grid coordination and control layer, the energy storage devices acting on the load power supply guarantee and operation status optimization within the distribution network are configured as the distribution network coordination control layer, and the energy storage devices connected to the common coupling point of the microgrid and used for the power balance and autonomous operation within the microgrid are configured as the microgrid local control layer.

[0014] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: detecting the power balance deviation of the distribution network based on the energy storage hierarchical control mechanism; determining the cross-level energy storage scheduling priority based on the response speed, adjustable power range and unit adjustment cost of the energy storage devices at each control level; and sequentially calling the corresponding level energy storage devices to participate in power regulation according to the scheduling priority, thereby obtaining a smooth control scheme for power fluctuations.

[0015] Preferably, the distribution network energy storage control method under the main distribution micro-control framework further includes: collecting the operating status, remaining energy and regulation effect information of each energy storage device based on the smooth control scheme to obtain regulation feedback information; feeding back the regulation feedback information to the corresponding control level, dynamically correcting the energy storage call order, regulation amplitude and participation level, and obtaining the correction feedback result.

[0016] Secondly, this application also provides a distribution network energy storage control system under the main distribution micro-control framework, used to execute the distribution network energy storage control method under the main distribution micro-control framework as described in the first aspect, including: a graph model construction module, used to construct an integrated energy storage graph model under the main distribution micro-control framework; a node determination module, used to perform energy storage site selection and capacity determination calculation based on the integrated energy storage graph model, and determine the site selection nodes and capacity determination parameters; a mechanism construction module, used to determine the set of energy storage devices to be configured based on the site selection nodes and capacity determination parameters, and construct a hierarchical control mechanism for main distribution micro-power balance; a scheme obtaining module, used to execute a hierarchical response under power disturbance based on the hierarchical control mechanism for energy storage, and obtain a smooth control scheme; and a result obtaining module, used to dynamically correct the smooth control scheme and obtain a correction feedback result.

[0017] The technical solution provided in this application has at least the following technical effects or advantages: by achieving the technical goal of unified modeling, optimized configuration and hierarchical collaborative control of energy storage resources in the distribution network under the framework of main and distribution micro-control, it can improve the short-term power fluctuation suppression capability of the distribution network, enhance the flexibility of power balance regulation, reduce the cost of energy storage regulation and extend the service life of energy storage, thereby improving the overall operation stability and power supply quality of the distribution network.

[0018] The above description is merely an overview of the technical solution of this application. To enable a clearer understanding of the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the distribution network energy storage control method under the main distribution micro-control framework of this application.

[0021] Figure 2 This is a schematic diagram of the distribution network energy storage control system under the main distribution micro-control framework of this application.

[0022] Attached diagram labels: Graph model construction module 1, node determination module 2, mechanism construction module 3, scheme acquisition module 4, and result acquisition module 5. Detailed Implementation

[0023] This application provides a distribution network energy storage control method and system under a main-distribution micro-control framework. It addresses existing technical problems stemming from a lack of unified modeling methods for the coordinated operation of the main grid, distribution network, and microgrids; a lack of systematic characterization of the intrinsic relationship between energy storage location selection, capacity determination, and operation control; and a lack of dynamic control mechanisms based on hierarchical control and closed-loop feedback. These issues lead to difficulties in accurately reflecting the true contribution of energy storage configuration and control decisions to the short-term flexibility of the distribution network, further impacting the power balance capability, operational stability, and power quality of the distribution network under conditions of high-proportion distributed power generation. The application achieves the technical objectives of unified modeling, optimized configuration, and hierarchical coordinated control of distribution network energy storage resources under a main-distribution micro-control framework. This results in improved short-term power fluctuation suppression capability, enhanced power balance regulation flexibility, reduced energy storage control costs, and extended energy storage lifespan, thereby improving the overall operational stability and power quality of the distribution network.

[0024] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0025] Example 1, please refer to the appendix. Figure 1 This application provides a distribution network energy storage control method under the main distribution micro-control framework, which is applied to the distribution network energy storage control system under the main distribution micro-control framework, and specifically includes the following steps: Construct an integrated energy storage graphical model under the framework of main and distribution micro-control.

[0026] Furthermore, this application also includes: obtaining the operating status parameters of grid nodes in the main power grid, distribution network, and microgrid within the target distribution network area; mapping the grid nodes as graph nodes based on the operating status parameters, and mapping the electrical connection relationships of the grid nodes as edges to generate an initial integrated energy storage graph model; configuring the energy storage attribute parameters of the grid nodes on the initial integrated energy storage graph model to obtain the integrated energy storage graph model.

[0027] Furthermore, this application also includes: the energy storage attribute parameters include power regulation capability, energy capacity constraint and response time characteristics.

[0028] Specifically, obtaining the operating status parameters of grid nodes in the main grid, distribution grid, and microgrid within the target distribution network area refers to collecting operating information of various grid nodes at different control levels within a unified control cycle. The operating status parameters include at least node voltage amplitude, phase angle, power injection status, load level, and power exchange status with adjacent nodes. This is used to accurately reflect the electrical characteristics and operating constraints of each node at the current operating moment, thereby providing basic data support for subsequent modeling.

[0029] Based on operating state parameters, grid nodes are mapped as graph nodes, and the electrical connections of grid nodes are mapped as edges to generate an initial integrated energy storage graph model. This means that in the process of abstract modeling, the main grid nodes, distribution grid nodes, and microgrid nodes with clear electrical characteristics in the physical power grid are uniformly regarded as vertex elements in a graph structure, and the topological edges between nodes are constructed according to line connection relationships, transformer connection relationships, or common coupling point relationships, thereby forming a networked structure model that can characterize the power transmission path, electrical coupling relationship, and operational impact range.

[0030] The process of configuring energy storage attribute parameters for grid nodes in the initial integrated energy storage graph model yields the integrated energy storage graph model. This involves introducing attribute information at the node level to describe the energy storage support capabilities of each node. Energy storage attribute parameters include power regulation capability, energy capacity constraints, and response time characteristics. Power regulation capability describes the maximum charging and discharging power range achievable by the energy storage device per unit time. It characterizes the instantaneous ability of the energy storage device to participate in regulation during power balance adjustment and power fluctuation suppression, thus providing a basis for determining the adjustable range of the energy storage device under different operating scenarios. Energy capacity constraints limit the total amount of electrical energy that the energy storage device can store and release within a given operating cycle. This reflects the rated energy capacity of the energy storage device and the impact of the current state of charge on its continuous regulation capability, preventing the energy storage device from overcharging, over-discharging, or failing to sustain operation during regulation. Response time characteristics refer to the characteristic parameters used to describe the time required for an energy storage device to actually output or absorb power from receiving a control command. They are used to characterize the dynamic response capability of an energy storage device when participating in rapid power regulation and short-term flexibility support, thereby distinguishing the differences in control priority and applicable scenarios of different energy storage devices.

[0031] Perform energy storage site selection and capacity determination calculations based on the integrated energy storage diagram model to determine the site selection nodes and capacity configuration parameters.

[0032] Furthermore, this application also includes: constructing a multi-dimensional feature vector set by combining the voltage sensitivity characteristics, power flow distribution characteristics and power fluctuation characteristics of candidate nodes; and constructing an energy storage configuration scheme diagram based on the multi-dimensional feature vector set to determine the site selection nodes and capacity configuration parameters.

[0033] Furthermore, this application also includes: performing structural accessibility constraint screening on power grid nodes in the distribution network within the target distribution network area to obtain a first layer of candidate nodes; performing electrical effectiveness constraint screening on the first layer of candidate nodes to obtain a second layer of candidate nodes; and performing regulation value constraint screening on the second layer of candidate nodes to obtain the candidate nodes.

[0034] Furthermore, this application also includes: obtaining the configuration cost parameters, power capacity constraint parameters, and energy capacity constraint parameters corresponding to the candidate nodes, and combining them with the multi-dimensional constraint conditions for obtaining the energy storage configuration characteristics; using the multi-dimensional constraint conditions as the drawing boundary and the multi-dimensional feature vector set as the drawing paper, performing the drawing of the energy storage configuration scheme diagram with the contribution of the distribution network short-term flexibility support as the drawing pen, to obtain the energy storage configuration scheme diagram.

[0035] Specifically, structural accessibility constraints are used to screen grid nodes within the target distribution network area to obtain the first-level candidate nodes. This involves a preliminary screening based on the existing physical structure and engineering implementation conditions of the distribution network to determine whether each grid node possesses the basic conditions for connecting energy storage devices. Structural accessibility constraints include at least node spatial conditions, wiring methods, equipment interface reservations, and maintenance accessibility. These constraints are used to eliminate nodes that lack the feasibility for energy storage connection, thereby forming a set of nodes that meet the basic engineering access requirements.

[0036] Furthermore, electrical validity constraints are applied to the first-layer candidate nodes to obtain the second-layer candidate nodes. This involves, in addition to meeting the structural access conditions, further assessing the electrical feasibility of nodes for energy storage access under current and planned operating conditions, taking into account their electrical operating characteristics. Electrical validity constraints include node voltage levels, voltage stability margins, short-circuit capacity limits, and the impact on the electrical state of adjacent nodes after access. These constraints ensure that energy storage access will not introduce new electrical risks, thus yielding a set of nodes with electrical feasibility.

[0037] Furthermore, the second-layer candidate nodes are screened using regulatory value constraints to obtain candidate nodes. This involves evaluating the electrical feasibility of nodes from the perspective of system regulation effectiveness, and determining the contribution of energy storage devices to the optimization of distribution network operation after being connected to the node. The regulatory value constraints characterize the potential role of nodes in power regulation, voltage support, and fluctuation suppression, thereby selecting nodes with practical significance at the regulation level as the final candidate nodes.

[0038] Simultaneously, by combining the voltage sensitivity characteristics, power flow distribution characteristics, and power fluctuation characteristics of candidate nodes, a multi-dimensional feature vector set is constructed. This refers to the quantitative characterization of the electrical response characteristics of each candidate node under different operational dimensions. Among them, the voltage sensitivity characteristics describe the degree of response of the node voltage to power changes, the power flow distribution characteristics reflect the location and influence range of the node in network power transmission, and the power fluctuation characteristics characterize the impact of distributed power access on the uncertainty of node power, thus forming a multi-dimensional feature description for comprehensive evaluation.

[0039] Furthermore, obtaining the configuration cost parameters, power capacity constraint parameters, and energy capacity constraint parameters corresponding to the candidate nodes, combined with the multi-dimensional constraints of energy storage configuration characteristics, refers to introducing economic and equipment capability constraints required for energy storage configuration in addition to technical characteristics. Among them, the configuration cost parameters are used to reflect the investment in energy storage construction and operation and maintenance, the power capacity constraint parameters are used to limit the upper limit of the instantaneous regulation capability of energy storage, and the energy capacity constraint parameters are used to limit the range of the continuous regulation capability of energy storage, thus forming a complete set of constraints required for energy storage configuration decisions.

[0040] Using multidimensional constraints as the boundary of the drawing and a set of multidimensional feature vectors as the drawing paper, the energy storage configuration scheme diagram is drawn by using the contribution of the distribution network's short-term flexibility support as the drawing brush. The resulting energy storage configuration scheme diagram refers to the comprehensive evaluation and feasible domain characterization of energy storage configuration schemes for different candidate nodes under the premise of meeting various technical and economic constraints. The feasible configuration schemes are mapped and expressed based on the degree of contribution of energy storage to the distribution network's short-term power balance and voltage support.

[0041] Finally, by analyzing the energy storage configuration scheme diagram, the site selection nodes and capacity configuration parameters are determined. This means selecting the configuration scheme that contributes the best or second best to the short-term flexibility support of the distribution network within the constraints from the configuration scheme diagram, thereby clarifying the installation node location of the energy storage device and the corresponding power capacity and energy capacity configuration results.

[0042] Based on the selected nodes and capacity configuration parameters, the set of energy storage devices to be configured is determined, and a hierarchical control mechanism for energy storage to balance the main and distribution micro-power is constructed.

[0043] Furthermore, this application also includes: based on the type of electrical access node of the energy storage device collection in the distribution network and the controllable range of the target distribution network area, constructing an energy storage hierarchical control mechanism for the coordinated operation of the main grid, distribution network, and microgrid; wherein, in the energy storage hierarchical control mechanism, the energy storage devices participating in the power exchange regulation between the main grid and the distribution network are configured as the main grid coordination and control layer, the energy storage devices acting on the load power supply guarantee and operation status optimization within the distribution network are configured as the distribution network coordination and control layer, and the energy storage devices connected to the common coupling point of the microgrid and used for the power balance and autonomous operation within the microgrid are configured as the microgrid local control layer.

[0044] Specifically, determining the set of energy storage devices to be configured based on the site selection nodes and the fixed capacity configuration parameters means that after completing the determination of the energy storage site selection nodes and the corresponding power capacity and energy capacity configuration calculations, each selected node is mapped one by one with its corresponding configuration parameters, thereby forming a set of energy storage device objects for subsequent operation control, which is used to clarify the scope of energy storage devices participating in regulation and their basic capacity boundaries.

[0045] Furthermore, based on the type of electrical access node of the energy storage device cluster in the distribution network and the controllable range of the target distribution network area, a hierarchical control mechanism for energy storage oriented towards the coordinated operation of the main power grid, distribution network, and microgrid is constructed. This means that according to the electrical access location of each energy storage device and the spatial range of its influence on the operation status of different levels of the power grid, the functions of the energy storage devices in the control system are distinguished and classified, thereby forming a hierarchical control structure that matches the operation requirements of the main power grid, distribution network, and microgrid.

[0046] Among them, the energy storage hierarchical control mechanism configures energy storage devices that participate in the power exchange regulation between the main grid and the distribution network as the main grid coordination and control layer. This means that energy storage devices that have the ability to directly regulate the power exchange between the main grid and the distribution network and whose regulation effect can affect the main grid operation status across the local range of the distribution network are included in the control layer with global power balance and main grid-distribution coordination as the control objectives, so as to assume the responsibility of responding to the dispatch instructions on the main grid side.

[0047] Furthermore, configuring energy storage devices that function to ensure power supply and optimize the operating status of loads within the distribution network as the distribution network coordination control layer means assigning energy storage devices that primarily serve the power balance, voltage stability, and load power supply reliability within the distribution network to a control level with the goal of regional coordination control. This level focuses on refining and optimizing the operating status of the distribution network under the constraints of the main power grid dispatch.

[0048] Furthermore, configuring energy storage devices connected to the common coupling point of the microgrid and used for power balance and autonomous operation within the microgrid as the local control layer of the microgrid means incorporating energy storage devices that mainly operate within a single microgrid and are used to support power balance and stability control in isolated or grid-connected operation of the microgrid into a local control layer aimed at autonomous operation and rapid response, thereby achieving independent regulation capabilities at the microgrid level.

[0049] A smooth control scheme is obtained by executing a graded response to power disturbances based on the energy storage graded control mechanism.

[0050] Furthermore, this application also includes: detecting the power balance deviation of the distribution network based on the energy storage hierarchical control mechanism, determining the cross-level energy storage scheduling priority based on the response speed, adjustable power range and unit adjustment cost of the energy storage devices at each control level, and sequentially calling the corresponding level energy storage devices to participate in power regulation according to the scheduling priority, thereby obtaining a smooth control scheme for power fluctuations.

[0051] Specifically, detecting the power balance deviation of the distribution network based on the energy storage hierarchical control mechanism refers to comprehensively analyzing the power generation, load power and energy storage output status at the current moment according to the established hierarchical control structure of the main grid, distribution network and microgrid during the operation of the distribution network, so as to determine the degree of deviation between the actual operating state and the target power balance state, and to identify whether there is a power imbalance that needs to be compensated by energy storage regulation.

[0052] Furthermore, based on the response speed, adjustable power range, and unit adjustment cost of energy storage devices at each control level, the priority of cross-level energy storage scheduling is determined. This means that after detecting a power balance deviation, the dynamic characteristics and control costs of energy storage devices at different control levels are comprehensively evaluated. The response speed is used to characterize the timeliness of energy storage devices participating in regulation, the adjustable power range is used to limit the adjustment range it can bear, and the unit adjustment cost is used to reflect the impact of energy storage participation in regulation on equipment life and operating costs, thereby forming an orderly scheduling sequence across levels.

[0053] Furthermore, sequentially calling energy storage devices at corresponding levels to participate in power regulation according to scheduling priority means issuing control commands to energy storage devices at each level in order of priority, so that they participate in the power compensation process step by step. By first calling energy storage devices with fast response and low regulation cost, and then gradually introducing energy storage devices with stronger regulation capabilities but higher costs, the power regulation process can be carried out in stages.

[0054] Ultimately, the power fluctuation smoothing control scheme refers to the effective mitigation of power instability caused by distributed power source fluctuations or load changes in the distribution network under the action of hierarchical scheduling and step-by-step adjustment, thereby forming a power smoothing control result that meets the power balance requirements while taking into account the economic efficiency and service life of energy storage operation.

[0055] The smoothing control scheme is dynamically corrected to obtain the correction feedback result.

[0056] Furthermore, this application also includes: collecting information on the operating status, remaining energy, and regulation effect of each energy storage device based on the smooth control scheme to obtain regulation feedback information; feeding the regulation feedback information back to the corresponding control level to dynamically correct the energy storage call order, regulation amplitude, and participation level to obtain the correction feedback result.

[0057] Specifically, the smooth control scheme collects information on the operating status, remaining energy, and regulation effect of each energy storage device to obtain regulation feedback information. This means that during the execution of the power smooth control scheme, the energy storage devices involved in the regulation are continuously monitored to obtain state parameters reflecting their current operating conditions. The operating status describes the charging and discharging state and operational stability of the energy storage device, the remaining energy characterizes the energy margin that the energy storage device can still participate in regulation at the current moment, and the regulation effect information is used to characterize the degree of matching between the actual output power of the energy storage device and the regulation target, thereby forming a set of feedback information for subsequent control decisions.

[0058] Furthermore, the adjustment feedback information is fed back to the corresponding control level to dynamically correct the energy storage call sequence, adjustment range, and participation level, thus obtaining the correction feedback result. This means that, according to the control level to which different energy storage devices belong, the feedback information is transmitted to the main grid coordination and control layer, the distribution network coordination and control layer, or the microgrid local control layer, and the subsequent call strategy of the energy storage devices is adjusted in real time. This is done by changing the order in which energy storage participates in regulation, adjusting its power output or absorption range, or, when necessary, adjusting the range of its participation in regulation, in order to adapt to the dynamic changes in the operating status of the distribution network.

[0059] Ultimately, the corrected feedback result refers to the formation of an updated energy storage control strategy under the action of the feedback correction mechanism, so that the energy storage regulation behavior can be consistent with the real-time operation requirements of the distribution network and the energy storage itself, thereby avoiding the energy storage capacity decay or control failure caused by continuous adjustment.

[0060] In summary, the distribution network energy storage control method under the main distribution micro-control framework provided in this application has the following technical effects: by achieving the technical objectives of unified modeling, optimized configuration and hierarchical collaborative control of distribution network energy storage resources under the main distribution micro-control framework, it can improve the short-term power fluctuation suppression capability of the distribution network, enhance the flexibility of power balance regulation, reduce the cost of energy storage regulation and extend the service life of energy storage, thereby improving the overall operation stability and power supply quality of the distribution network.

[0061] Example 2: Based on the same inventive concept as the distribution network energy storage control method under the main-distribution micro-control framework in the foregoing examples, this application also provides a distribution network energy storage control system under the main-distribution micro-control framework. Please refer to the appendix. Figure 2 The system includes: a graph model construction module 1, used to construct an integrated energy storage graph model under the main distribution micro-control framework; a node determination module 2, used to perform energy storage site selection and capacity determination calculations based on the integrated energy storage graph model, and determine the site selection nodes and capacity determination parameters; a mechanism construction module 3, used to determine the set of energy storage devices to be configured based on the site selection nodes and capacity determination parameters, and construct a hierarchical control mechanism for energy storage in the main distribution micro-power balance; a scheme acquisition module 4, used to execute a hierarchical response under power disturbances based on the hierarchical control mechanism of the energy storage, and obtain a smooth control scheme; and a result acquisition module 5, used to dynamically correct the smooth control scheme and obtain correction feedback results.

[0062] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: acquire the operating status parameters of the grid nodes in the main grid, distribution network, and microgrid within the target distribution network area; based on the operating status parameters, map the grid nodes as graph nodes and map the electrical connection relationships of the grid nodes as edges to generate an initial integrated energy storage graph model; configure the energy storage attribute parameters of the grid nodes in the initial integrated energy storage graph model to obtain the integrated energy storage graph model.

[0063] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used for: the energy storage attribute parameters include power regulation capability, energy capacity constraint and response time characteristics.

[0064] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: construct a multi-dimensional feature vector set by combining the voltage sensitivity characteristics, power flow distribution characteristics and power fluctuation characteristics of candidate nodes; and construct an energy storage configuration scheme diagram based on the multi-dimensional feature vector set to determine the site selection nodes and capacity configuration parameters.

[0065] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: perform structural accessibility constraint screening on the grid nodes in the distribution network within the target distribution network area to obtain a first layer of candidate nodes; perform electrical effectiveness constraint screening on the first layer of candidate nodes to obtain a second layer of candidate nodes; and perform regulation value constraint screening on the second layer of candidate nodes to obtain the candidate nodes.

[0066] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: obtain the configuration cost parameters, power capacity constraint parameters and energy capacity constraint parameters corresponding to the candidate nodes, and combine them to obtain multi-dimensional constraint conditions of energy storage configuration characteristics; using the multi-dimensional constraint conditions as the drawing boundary and the multi-dimensional feature vector set as the drawing paper, execute the drawing of the energy storage configuration scheme diagram with the contribution of the distribution network short-term flexibility support as the drawing pen, and obtain the energy storage configuration scheme diagram.

[0067] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: construct a hierarchical energy storage control mechanism for the coordinated operation of the main grid, distribution network, and microgrid based on the type of electrical access node in which the energy storage devices are aggregated in the distribution network and the controllable range of the target distribution network area; wherein, in the hierarchical energy storage control mechanism, the energy storage devices participating in the power exchange regulation between the main grid and the distribution network are configured as the main grid coordination and control layer, the energy storage devices acting on the load power supply guarantee and operation status optimization within the distribution network are configured as the distribution network coordination control layer, and the energy storage devices connected to the common coupling point of the microgrid and used for the power balance and autonomous operation within the microgrid are configured as the microgrid local control layer.

[0068] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: detect the power balance deviation of the distribution network based on the energy storage hierarchical control mechanism, determine the cross-level energy storage scheduling priority based on the response speed, adjustable power range and unit adjustment cost of the energy storage devices at each control level, and sequentially call the corresponding level energy storage devices to participate in power regulation according to the scheduling priority, so as to obtain a smooth control scheme for power fluctuation.

[0069] Furthermore, the distribution network energy storage control system under the main distribution micro-control framework is also used to: collect the operating status, remaining energy and regulation effect information of each energy storage device based on the smooth control scheme to obtain regulation feedback information; feed the regulation feedback information back to the corresponding control level, dynamically correct the energy storage call order, regulation amplitude and participation level, and obtain the correction feedback result.

[0070] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The distribution network energy storage control method and specific examples under the main distribution micro-control framework in the aforementioned embodiment one are also applicable to the distribution network energy storage control system under the main distribution micro-control framework in this embodiment. Through the foregoing detailed description of the distribution network energy storage control method under the main distribution micro-control framework, those skilled in the art can clearly understand the distribution network energy storage control system under the main distribution micro-control framework in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0071] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0072] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A distribution network energy storage control method under the framework of main and distribution micro-control, characterized in that, include: Construct an integrated energy storage graphical model under the framework of primary and secondary micro-control; Perform energy storage site selection and capacity determination calculations based on the integrated energy storage diagram model to determine the site selection nodes and capacity configuration parameters; Based on the selected nodes and capacity configuration parameters, the set of energy storage devices to be configured is determined, and a hierarchical control mechanism for energy storage to balance the main and distribution micro-power is constructed. A smooth control scheme is obtained by executing a graded response to power disturbances based on the energy storage graded control mechanism. The smoothing control scheme is dynamically corrected to obtain the correction feedback result.

2. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 1, characterized in that, Constructing an integrated energy storage graphical model under the framework of primary and secondary micro-control, including: Obtain the operating status parameters of the power grid nodes in the main power grid, distribution network, and microgrid within the target distribution network area; Based on the operating status parameters, the power grid nodes are mapped as graph nodes, and the electrical connection relationships of the power grid nodes are mapped as edges to generate an initial integrated energy storage graph model. Configure the energy storage attribute parameters of the grid nodes in the initial integrated energy storage diagram model to obtain the integrated energy storage diagram model.

3. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 2, characterized in that, The energy storage attribute parameters include power regulation capability, energy capacity constraint, and response time characteristics.

4. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 1, characterized in that, Perform energy storage site selection and capacity determination calculations based on the integrated energy storage diagram model to determine the site selection nodes and capacity configuration parameters, including: A multi-dimensional feature vector set is constructed by combining the voltage sensitivity characteristics, power flow distribution characteristics, and power fluctuation characteristics of candidate nodes; Based on the multidimensional feature vector set, an energy storage configuration scheme diagram is constructed to determine the site selection nodes and capacity configuration parameters.

5. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 4, characterized in that, Construct candidate nodes, including: Structural accessibility constraints are used to screen the power grid nodes in the target power grid area to obtain the first layer of candidate nodes. Electrical validity constraints are applied to the first layer of candidate nodes to obtain the second layer of candidate nodes. The candidate nodes in the second layer are selected by adjusting the value constraint.

6. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 4, characterized in that, Based on the aforementioned multidimensional feature vector set, an energy storage configuration scheme diagram is constructed, including: Obtain the configuration cost parameters, power capacity constraint parameters, and energy capacity constraint parameters corresponding to the candidate nodes, and combine them to obtain multi-dimensional constraint conditions for energy storage configuration characteristics. Using the multidimensional constraints as the drawing boundary and the multidimensional feature vector set as the drawing paper, the energy storage configuration scheme diagram is drawn by using the contribution of the distribution network's short-term flexibility as the drawing pen, thus obtaining the energy storage configuration scheme diagram.

7. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 1, characterized in that, Constructing a hierarchical control mechanism for energy storage to balance primary, secondary, and micro-level power supply, including: Based on the type of electrical access node of the energy storage device in the distribution network and the controllable range of the target distribution network area, a hierarchical control mechanism for energy storage is constructed for the coordinated operation of the main power grid, distribution network and microgrid. In the energy storage hierarchical control mechanism, the energy storage devices participating in the power exchange regulation between the main grid and the distribution network are configured as the main grid coordination and control layer, the energy storage devices acting on the load power supply guarantee and operation status optimization within the distribution network are configured as the distribution network coordination and control layer, and the energy storage devices connected to the common coupling point of the microgrid and used for the power balance and autonomous operation within the microgrid are configured as the microgrid local control layer.

8. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 7, characterized in that, Execute a graded response to power disturbances based on the aforementioned energy storage graded control mechanism to obtain a smooth control scheme, including: The power balance deviation of the distribution network based on the energy storage hierarchical control mechanism is detected. Based on the response speed, adjustable power range and unit adjustment cost of the energy storage devices at each control level, the priority of cross-level energy storage scheduling is determined. The corresponding level of energy storage devices are called in sequence according to the scheduling priority to participate in power regulation, so as to obtain a smooth control scheme for power fluctuation.

9. The distribution network energy storage control method under the main and distribution micro-control framework as described in claim 1, characterized in that, The smoothing control scheme is dynamically corrected to obtain corrected feedback results, including: Based on the smooth control scheme, the operating status, remaining energy and regulation effect information of each energy storage device are collected to obtain regulation feedback information; The adjustment feedback information is fed back to the corresponding control level to dynamically correct the energy storage call order, adjustment range and participation level, and obtain the correction feedback result.

10. A distribution network energy storage control system under the framework of main and distribution micro-control, characterized in that, The steps for implementing the distribution network energy storage control method under the main distribution micro-control framework according to any one of claims 1 to 9 include: The graph model construction module is used to construct an integrated energy storage graph model under the main and distribution micro-control framework. The node determination module is used to perform energy storage site selection and capacity determination calculations based on the integrated energy storage graph model, and to determine the site selection nodes and capacity configuration parameters. The mechanism construction module is used to determine the set of energy storage devices to be configured based on the site selection nodes and capacity configuration parameters, and to construct a hierarchical control mechanism for energy storage to balance the main and distribution micro-power. The scheme obtains a module for executing a graded response under power disturbances based on the energy storage graded control mechanism, thereby obtaining a smooth control scheme; The result acquisition module is used to dynamically correct the smooth control scheme and obtain correction feedback results.

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