Multi-element load resource cooperative regulation and control method and system in power grid imbalance scene

Abstract

The invention discloses a multi-element load resource cooperative regulation and control method and system in a power grid imbalance scene, and relates to the technical field of power regulation and control. The method comprises the following steps: S1, obtaining a future state section of a power grid, and carrying out balance analysis on the future state power grid to determine a balance gap when the power grid has an insufficient balance scene; s2, aggregating the multi-element load side resources accessed to the power grid, and constructing an aggregated resource pool; s3, screening load side resources meeting regulation and control requirements from the aggregation resource pool according to resource regulation characteristics and demand response characteristics, and generating a resource collaborative regulation and control strategy; and S4, adjusting the load side resources based on the regulation and control strategy to eliminate the balance gap of the future state of the power grid. According to the scheme, active pre-judgment and pre-control can be carried out on a possible power grid balance insufficiency scene in the future, the risk perception and disposal capability of a power system during power grid balance insufficiency is effectively improved, and safe operation of a power grid is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of power control technology, and in particular to a method and system for coordinated control of multiple load resources in a power grid imbalance scenario. Background Art

[0002] Since clean and renewable energy sources such as wind and solar energy are characterized by randomness, intermittency, and volatility, large-scale and high-proportion access to the power grid brings a series of new challenges to the balance and regulation of the power system. In order to ensure the safety and stability of the power grid after the access of new energy, it is urgent to tap the load-side resource regulation capabilities, and it is particularly important to coordinate the regulation of multiple load-side resources for possible grid balance insufficiency scenarios.

[0003] At present, the coordinated regulation of multiple load-side resources in the scenario of insufficient grid balance is more about urgently formulating resource regulation strategies after the insufficient grid balance scenario occurs in the real-time operation of the grid. There is relatively little research on pre-assessing the potential risks of insufficient grid balance in future periods and generating coordinated resource regulation strategies to eliminate the future balance gap of the grid. There is also a lack of effective proactive prediction and control measures for safety risks such as insufficient grid balance in the future.

[0004] The above information disclosed in the Background section is only for enhancement of understanding of the background of the present application and therefore it may contain information that does not constitute the prior art that is already known to a person of ordinary skill in the art. Summary of the invention

[0005] The purpose of the present invention is to address the problem that current technologies lack effective proactive prediction and pre-control means for safety risks in scenarios where the future power grid is underbalanced. A method and system for coordinated regulation of multiple load resources in scenarios where the power grid is unbalanced is proposed. Through a data-driven approach, a balance analysis of the future power grid is performed. For scenarios where the power grid is underbalanced in the future, multiple load-side resources connected to the power grid are aggregated to build an aggregated resource pool, a resource collaborative regulation strategy is generated, and the regulation strategy is issued to adjust the load-side resources, eliminating the balance gap of the future power grid, and realizing proactive prediction and pre-control of scenarios where the power grid may be underbalanced in the future, effectively improving the power system's risk perception and handling capabilities when the power grid is underbalanced, and ensuring the safe operation of the power grid.

[0006] In a first aspect, a technical solution provided in an embodiment of the present invention is: a method for coordinated regulation of multiple load resources in a power grid imbalance scenario, comprising the following steps: S1. Obtain the future state section of the power grid, perform a balance analysis on the future state power grid to determine the balance gap when the power grid has an insufficient balance scenario; S2, aggregate multiple load-side resources connected to the power grid to build an aggregated resource pool; S3. According to the resource regulation characteristics and demand response characteristics, select the load-side resources that meet the regulation requirements from the aggregated resource pool and generate a resource collaborative regulation strategy; S4. Based on the control strategy, load-side resources are adjusted to eliminate the balance gap of the future state of the power grid.

[0007] Preferably, the method of obtaining a future state section of a power grid and performing a balance analysis on the future state power grid to determine a balance gap when an insufficient balance scenario occurs in the power grid comprises the following steps: S11. Cut the time domain according to the set time scale to obtain several future state sections of the power grid; calculate the maximum available power supply capacity and power demand of the power grid according to the unit plan value, new energy forecast value and load forecast value in each future state section of the power grid; S12, calculating the balance margin of the power grid according to the maximum available power supply capacity and the power demand combined with the reserve value that the power grid should reserve, and when the balance margin is less than 0, determining that the power grid balance shortage scenario occurs in the time period corresponding to the future state section of the current power grid; S13. Determine the balance gap of the power grid in the future state section of the current power grid according to the absolute value of the balance margin when the power grid has an insufficient balance scenario.

[0008] Preferably, aggregating the multiple load-side resources connected to the power grid to build an aggregated resource pool comprises the following steps: S21, establishing a topological connection relationship between the load-side resources and the physical power grid structure in combination with the grid connection point information of the load-side resources; S22, based on the topological connection relationship, aggregate the load-side resources layer by layer to form a load-side resource hierarchical partition aggregation object; S23. Selecting a load-side resource aggregation object of a corresponding spatial dimension from the hierarchical partition aggregation object according to the spatial scope of the power grid where the underbalance scenario occurs; S24. Construct an aggregated resource pool with multi-dimensional coupling of space, resource type and response time level under the load-side resource aggregation object according to the load-side resource response time and resource type.

[0009] Preferably, the step of establishing a topological connection relationship between the load-side resources and the physical power grid structure in combination with the grid connection point information of the load-side resources comprises the following steps: Combined with the grid connection point information of the load-side resources, an upward topological search is performed starting from the load grid-connected feeder based on the breadth-first search method to establish the topological connection relationship between the load-side resources and the physical power grid structure.

[0010] Preferably, the step of aggregating the load-side resources layer by layer upward based on the topological connection relationship to form a load-side resource hierarchical partition aggregation object comprises the following steps: Based on the topological connection relationship, the load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas of different voltage levels are formed by upward aggregation from low voltage level to high voltage level. The load-side resource hierarchical and partitioned aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation partition resource aggregation objects, and regional resource aggregation objects.

[0011] Preferably, the construction of a multi-dimensionally coupled aggregated resource pool of space-resource type-response time level under a load-side resource aggregation object according to the load-side resource response time and resource type includes: Aggregate the response time levels of multiple load-side resources step by step, and combine the spatial dimension to perform multi-temporal and spatial dimension aggregation at the space-response time level to obtain the corresponding response time dimension aggregation object under the load-side resource aggregation; Classify and aggregate four types of load-side resources, namely electric vehicles, virtual power plants, energy storage, and second-level interruptible loads, to obtain the corresponding resource type dimension aggregation objects under load-side resource aggregation; Based on the response time dimension aggregation object and the resource type dimension aggregation object, multi-dimensional aggregation at the space-resource type-response time level is performed to build a multi-dimensional coupled aggregation resource pool.

[0012] Preferably, the method of selecting load-side resources that meet the regulation requirements from the aggregated resource pool according to the resource regulation characteristics and the demand response characteristics, and generating a resource collaborative regulation strategy comprises the following steps: S31. For the scenario of insufficient grid balance in the future, use the Boolean matrix to determine the time period when the load-side resources are in the scenario of insufficient grid balance; select the load-side resources that meet the regulation requirements in each aggregated resource pool according to the resource regulation characteristics and demand response characteristics; S33, for the period of time when the balance gap occurs, sequentially obtain the load power corresponding to the second-level interruptible load in the aggregated resource pool and generate a load power sequence from large to small, and cut off the corresponding interruptible load in accordance with the power sequence until the balance gap is eliminated, and execute S36; if the elimination gap is not eliminated, execute step S34; S34, sequentially obtain the load reduction capacity corresponding to the minimum load of the response time level in the aggregated resource pool and generate a load reduction capacity sequence from large to small, and sequentially reduce the corresponding minimum load of the response time level according to the load reduction capacity sequence until the balance gap is eliminated, and execute S36; if the balance gap is still not eliminated, sequentially cut off the corresponding interruptible load until the gap is eliminated, and execute S36; if the gap is still not eliminated, execute S35; S35, executing the response time level load from small to large in turn according to the step of S34 until the gap is eliminated, and executing S36; S36. Taking the aggregated resource pool as a unit, record the data of the load-side resource elimination process and the adjustment status of the above-mentioned second-level interruptible load and response time level load participating in the regulation to generate a resource collaborative regulation strategy; if the balance gap is not eliminated after the load-side resources in all aggregated resource pools have been lowered, output a "balance gap cannot be eliminated" warning signal.

[0013] In a second aspect, a technical solution also provided in an embodiment of the present invention is: a multi-load resource coordinated control system, applicable to the multi-load resource coordinated control method in a power grid imbalance scenario; Data acquisition module, used to obtain the future state section of the power grid; An analysis module is used to perform a balance analysis on the future power grid based on the future power grid section data to determine the balance gap when the power grid has an insufficient balance scenario; Resource aggregation module aggregates multiple load-side resources connected to the power grid to build an aggregated resource pool; The strategy generation module selects load-side resources that meet the regulation requirements from the aggregated resource pool according to the resource regulation characteristics and demand response characteristics, and generates a resource collaborative regulation strategy; The strategy execution module adjusts the load-side resources based on the control strategy to eliminate the balance gap of the future state of the power grid.

[0014] In a third aspect, a technical solution provided in an embodiment of the present invention is: an electronic device, comprising: Memory, used to store programs; A processor is used to load the program to execute the steps of the method for coordinated regulation of multiple load resources in a power grid imbalance scenario.

[0015] In a fourth aspect, a technical solution provided in an embodiment of the present invention is: a computer-readable storage medium storing a program, which, when executed by a processor, implements the steps of a method for coordinated regulation of multiple load resources in a power grid imbalance scenario.

[0016] Beneficial effects of the present invention: (1) In response to the problem that the existing technology lacks active prediction of the future state of power grid balance, this application proposes a technical means to conduct a balance analysis of the future state of the power grid in a data-driven manner. By obtaining the future state section of the power grid, calculating the maximum available power supply capacity and power demand of the power grid, and calculating the balance margin in combination with the reserve value that the power grid should retain, the balance gap that may appear in the future state of the power grid can be determined. This technical means enables the power grid to assess potential risks in advance and generate corresponding resource coordination and control strategies before the future state of the power grid is insufficiently balanced, effectively improving the power system's risk perception and handling capabilities when the power grid is insufficiently balanced, and ensuring the safe operation of the power grid.

[0017] (2) In response to the problem of low efficiency in the coordinated dispatch of multiple load resources, this application proposes to establish a topological connection relationship between the load-side resources and the physical grid structure by combining the grid connection point information of the load-side resources, and aggregate them upward layer by layer based on the topological connection relationship to form a hierarchical and partitioned load-side resource aggregation object. At the same time, based on the response time and resource type of the load-side resources, an aggregated resource pool with multi-dimensional coupling at the space-resource type-response time level is constructed. This technical means enables the system to flexibly screen and call load-side resources that meet the regulation requirements according to the specific needs of the grid balance deficiency scenario, thereby improving the coordinated regulation efficiency of multiple load-side resources.

[0018] (3) In order to optimize the strategy for eliminating the balance gap, this application proposes to use a Boolean matrix to determine the available time period of load-side resources in the scenario of insufficient grid balance, and cut off the interruptible load or reduce the response time level load in sequence according to the load power sequence and load reduction capacity sequence, so as to gradually eliminate the grid balance gap. At the same time, the system records the regulation process data and adjustment status of the load-side resources, and generates a resource coordination regulation strategy. This technical means realizes the precise regulation of the grid balance gap, ensures the stable operation of the grid in the scenario of insufficient balance, and promptly issues a warning signal when the balance gap cannot be eliminated, further improving the safety and reliability of the grid.

[0019] The above invention content is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts.

[0021] Figure 1 It is a flow chart of a method for coordinated regulation of multiple load resources in a power grid imbalance scenario of the present invention.

[0022] Figure 2 This is a flow chart of the balance analysis of the future power grid according to the present invention.

[0023] Figure 3 A flow chart is constructed for the aggregated resource pool of the present invention.

[0024] Figure 4 This is a schematic diagram of the structure of a multi-load resource coordinated control system of the present invention. DETAILED DESCRIPTION

[0025] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the drawings; the process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0027] Embodiment 1: like Figure 1 As shown, a method for coordinated regulation of multiple load resources in a power grid imbalance scenario includes the following steps: S1. Obtain the future state section of the power grid, and perform a balance analysis on the future state power grid to determine the balance gap when the power grid has an insufficient balance scenario.

[0028] As an optional embodiment, Figure 2 As shown, S1 includes the following steps: S11. Cut the time domain according to the set time scale to obtain several future state sections of the power grid; calculate the maximum available power supply capacity and power demand of the power grid according to the unit plan value, new energy forecast value and load forecast value in each future state section of the power grid; S12, calculating the balance margin of the power grid according to the maximum available power supply capacity and the power demand combined with the reserve value that the power grid should reserve, and when the balance margin is less than 0, determining that the power grid balance shortage scenario occurs in the time period corresponding to the future state section of the current power grid; S13. Determine the balance gap of the power grid in the future state section of the current power grid according to the absolute value of the balance margin when the power grid has an insufficient balance scenario.

[0029] In the embodiment of the present application, the time range of the future state section of the power grid is 24 hours of the next day. Within the 24 hours of the next day, it is set to obtain the power grid section every 15 minutes, which includes the unit plan value at that moment and new energy, load and other forecast data. In total, the corresponding future state sections of the power grid are obtained for 96 future time periods.

[0030] In the embodiment of the present application, the maximum available power supply capacity of the power grid Indicators and electricity demand The indicators are expressed as: ; ; in, is the maximum output value of thermal power in the power grid, T represents the Tth future period, is the planned nuclear power output value of the power grid in the Tth future period, is the predicted value of wind power output of the power grid in the Tth future period, is the predicted value of the photovoltaic power output of the power grid in the Tth future period, is the planned output value of pumped storage power in the Tth future period, It is the predicted value of power grid load power in the Tth future period.

[0031] In the embodiment of the present application, the balance margin of the power grid The indicator is expressed as: ; in, is the maximum available power supply capacity of the power grid in the Tth future period, is the power demand of the power grid in the Tth future period, Reserve the power grid for the Tth future period; the power grid reserved reserve value is set by the power grid dispatcher, and is generally not less than the maximum single-machine capacity of the power grid at that time. For example, when the maximum single-machine capacity planned to be operated in the Tth future period of the power grid is 1000MW, the power grid reserved reserve value for the Tth future period is Can be set to 1500MW.

[0032] It is understandable that, based on the calculated future grid balance margin value, the future grid balance analysis can be performed to find out the time period when the grid balance is insufficient. , then the power grid in the Tth future period is in a state of power generation and consumption balance, and there is no balance gap. If the power grid balance margin in the Tth future period is , then the power grid in the Tth future period is in an underbalanced state and there is a balance gap.

[0033] In the embodiment of the present application, when the future power grid has an insufficient balance scenario, the balance gap of the power grid in the Tth future period is The indicator is expressed as: ; in, is the grid balance margin when the future grid has insufficient balance scenario, and T means that the future grid insufficient balance scenario occurs in the Tth future period.

[0034] S2. Aggregate the multiple load-side resources connected to the power grid to build an aggregated resource pool.

[0035] As an optional embodiment, Figure 3 The shown S2 includes the following steps: S21, establishing a topological connection relationship between the load-side resources and the physical power grid structure in combination with the grid connection point information of the load-side resources; S22, based on the topological connection relationship, aggregate the load-side resources layer by layer to form a load-side resource hierarchical partition aggregation object; S23. Selecting a load-side resource aggregation object of a corresponding spatial dimension from the hierarchical partition aggregation object according to the spatial scope of the power grid where the underbalance scenario occurs; S24. Construct an aggregated resource pool with multi-dimensional coupling of space, resource type and response time level under the load-side resource aggregation object according to the load-side resource response time and resource type.

[0036] In an embodiment of the present application, combined with the grid connection point information of the load-side resources, an upward topological search is performed starting from the load grid-connected feeder based on the breadth-first search method to establish a topological connection relationship between the load-side resources and the physical power grid structure.

[0037] As an optional embodiment, the method of aggregating the load-side resources layer by layer upward based on the topological connection relationship to form a load-side resource hierarchical partition aggregation object includes the following steps: Based on the topological connection relationship, the load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas of different voltage levels are formed by upward aggregation from low voltage level to high voltage level. The load-side resource hierarchical and partitioned aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation partition resource aggregation objects, and regional resource aggregation objects.

[0038] In an embodiment of the present application, with respect to the topological connection relationship between the load-side resources and the physical grid structure, they are aggregated upward layer by layer from low voltage level to high voltage level, to form hierarchical and partitioned aggregation objects of load-side resources of main transformers and supply areas of different voltage levels, such as 10kV-35kV-110kV-220kV-500kV.

[0039] Furthermore, in this embodiment, the load-side resource hierarchical and partitioned aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation partition resource aggregation objects, and regional resource aggregation objects.

[0040] Among them, feeder resource aggregation: according to the topological connection relationship between the load-side resources and the physical power grid structure, the multiple load-side resources under the 10kV feeder are aggregated to form a load-side resource operator aggregation object with the 10kV feeder as the aggregation unit.

[0041] Among them, main transformer resource aggregation: according to the topological connection relationship between load-side resources and physical grid structure, they are aggregated upward layer by layer from low voltage level to high voltage level, and multiple load-side resources under the jurisdiction of 35kV, 110kV, and 220kV voltage level main transformers are aggregated to form a load-side resource aggregation object with the high-voltage side of the main transformer as the aggregation unit.

[0042] Operation partition resource aggregation: Based on the topological connection relationship between the load-side resources and the physical grid structure, they are aggregated upward layer by layer from low voltage level to high voltage level to form a load-side resource aggregation object with 500kV operation partition as the aggregation unit.

[0043] Among them, regional resource aggregation: for the region to which the load-side resources belong, the multiple load-side resources within the regional jurisdiction are aggregated to form a load-side resource aggregation object with the region as the aggregation unit.

[0044] It also includes province-wide resource aggregation. For regional resource aggregation data, load-side resource aggregation is carried out with the provincial level as the aggregation unit to form a province-wide load-side resource aggregation object.

[0045] It can be understood that if the spatial scope of the power grid where the insufficient balance scenario occurs belongs to the provincial power grid, the load-side resource aggregation object of the entire province will be selected; if the spatial scope of the power grid where the insufficient balance scenario occurs belongs to the regional power grid, the load-side resource aggregation object of the region will be selected.

[0046] As an optional embodiment, the construction of a multi-dimensionally coupled aggregated resource pool of space-resource type-response time level under a load-side resource aggregation object according to the load-side resource response time and resource type includes: Aggregate the response time levels of multiple load-side resources step by step, and combine the spatial dimension to perform multi-temporal and spatial dimension aggregation at the space-response time level to obtain the corresponding response time dimension aggregation object under the load-side resource aggregation; Classify and aggregate four types of load-side resources, namely electric vehicles, virtual power plants, energy storage, and second-level interruptible loads, to obtain the corresponding resource type dimension aggregation objects under load-side resource aggregation; Based on the response time dimension aggregation object and the resource type dimension aggregation object, multi-dimensional aggregation at the space-resource type-response time level is performed to build a multi-dimensional coupled aggregation resource pool.

[0047] In an optional embodiment, the aggregation is performed according to the response time levels of the multiple load side resources from level one to level seven, including: the response time of the multiple load side resources is divided into seven levels, as follows: Level 1 response: The response time is ≤1S to reach the response target; Second level response: 1S<response time≤1MIN to reach the response target; Response level 3: 1MIN<response time≤15MIN to reach the response target; Response level 4: 15MIN<response time≤30MIN to reach the response target; Level 5 response: 30MIN<response time≤2H to reach the response target; Response level 6: 2H<response time≤24H to reach the response target; Response level seven: Response time>24 hours to reach the response target.

[0048] Second-level interruptible load refers to the load that can be cut off in just a few seconds by the rapid response system when an emergency occurs in the power grid. According to the corresponding relationship between the resource response time level and the response time requirement, the second-level interruptible load belongs to the secondary response resource in terms of response time level.

[0049] It can be understood that if the spatial scope of the power grid where the insufficient balance scenario occurs belongs to the regional power grid, for example 1-"Region-Electric Vehicle-Response Level 3", it means the electric vehicle aggregated resource pool with level 3 response time in the region; 2-"Region-Virtual Power Plant-Response Level 4", it means the virtual power plant aggregated resource pool with level 4 response time in the region.

[0050] S3. According to the resource regulation characteristics and demand response characteristics, select the load-side resources that meet the regulation requirements from the aggregated resource pool and generate a resource collaborative regulation strategy; As an optional embodiment, S3 includes the following steps: S31. For the scenario of insufficient grid balance in the future, use the Boolean matrix to determine the time period when the load-side resources are in the scenario of insufficient grid balance; select the load-side resources that meet the regulation requirements in each aggregated resource pool according to the resource regulation characteristics and demand response characteristics; S33, for the period of time when the balance gap occurs, sequentially obtain the load power corresponding to the second-level interruptible load in the aggregated resource pool and generate a load power sequence from large to small, and cut off the corresponding interruptible load in accordance with the power sequence until the balance gap is eliminated, and execute S36; if the elimination gap is not eliminated, execute step S34; S34, sequentially obtain the load reduction capacity corresponding to the minimum load of the response time level in the aggregated resource pool and generate a load reduction capacity sequence from large to small, and sequentially reduce the corresponding minimum load of the response time level according to the load reduction capacity sequence until the balance gap is eliminated, and execute S36; if the balance gap is still not eliminated, sequentially cut off the corresponding interruptible load until the gap is eliminated, and execute S36; if the gap is still not eliminated, execute S35; S35, executing the response time level load from small to large in turn according to the step of S34 until the gap is eliminated, and executing S36; S36. Taking the aggregated resource pool as a unit, record the data of the load-side resource elimination process and the adjustment status of the above-mentioned second-level interruptible load and response time level load participating in the regulation to generate a resource collaborative regulation strategy; if the balance gap is not eliminated after the load-side resources in all aggregated resource pools have been lowered, output a "balance gap cannot be eliminated" warning signal.

[0051] In the embodiment of the present application, for the grid balance deficiency scenario that occurs in the future state in S31, a Boolean matrix is ​​used to determine whether the adjustable period of the load-side resources is in the period when the grid balance deficiency scenario occurs, wherein the Boolean matrix Y for determining whether the adjustable period of the load-side resources is in the period when the grid balance deficiency scenario occurs is expressed as: ; in, is a variable of 0 or 1, Indicates that the load-side resources in the i-th future period cannot participate in power grid regulation. Indicates that the load-side resources in the i-th future period can participate in power grid regulation. is a variable of 0 or 1, Indicates that there is no grid balance deficiency scenario in the i-th future period, Indicates that the grid balance is insufficient in the i-th future period.

[0052] For the future power grid underbalance scenario, find the Boolean matrix according to the i-th future period in which the scenario occurs If a load-side resource appears in the same row , then the load-side resources are inappropriate resources that cannot participate in grid regulation when the grid is underbalanced.

[0053] In the embodiment of the present application, the remaining balance gap after cutting off the interruptible load in seconds is calculated in S33. And the remaining balance gap after calculating the load reduction in S34 , where the remaining balance gap after cutting off the i-th second-level interruptible load or reducing the i-th load-side resource is The indicator is expressed as: ; ; Where T represents the Tth future period when the power grid balance deficiency scenario occurs, is the remaining balance gap before cutting off the i-th second-level interruptible load or reducing the i-th load-side resource. It is the power value cut off by the i-th second-level interruptible load in this period or the load reduction amount of the i-th load-side resource in this period; It is the remaining balance gap before cutting off the first second-level interruptible load; It refers to the balance gap of the power grid during the period when the power grid is underbalanced.

[0054] S4. Based on the control strategy, load-side resources are adjusted to eliminate the balance gap of the future state of the power grid.

[0055] In an embodiment of the present application, a security check is performed on the generated control strategy to analyze whether adjusting the multiple load-side resources according to the control strategy will cause new grid operation problems; if it is confirmed that adjusting the multiple load-side resources according to the control strategy will not cause new grid operation problems, the control strategy is sent to the load-side resource operator; after receiving the control instruction, the load-side resource operator adjusts the load-side resources to eliminate the balance gap of the future state of the grid and ensure the balance of supply and demand of the grid.

[0056] Referring to Table 1, in order to verify its beneficial effects, a specific example of coordinated regulation of multiple load-side resources in a scenario of insufficient grid balance is provided. The specific embodiments are as follows: In this embodiment, a provincial power grid obtains the future state section of the power grid for 24 hours on the next day on July 12, 2023, and performs a balance analysis on the future state power grid on July 13, 2023. Based on the planned value and forecast data every 15 minutes, the balance margin of the power grid is calculated for 96 future time periods on July 13, 2023. According to the balance margin value, the time period when the power grid balance shortage scenario occurs is found to be 2023-07-13 10:00. According to the balance margin when the power grid has an insufficient balance scenario, it is calculated that the balance gap of the power grid in this period is 2100MW.

[0057] Aggregate the multiple load-side resources connected to the power grid, combine the grid connection point information of the load-side resources, establish the topological connection relationship between the load-side resources and the physical power grid structure, and aggregate the load-side resources layer by layer based on the topological relationship to form a load-side resource aggregation object with the provincial level as the aggregation unit. Consider dimensions such as load-side resource response time and resource type, and construct an aggregated resource pool with multi-dimensional coupling of different load types and different response times under the provincial-dimensional aggregation object.

[0058] According to the resource regulation characteristics and demand response characteristics, select the load-side resources that meet the regulation requirements, cut off the interruptible loads in seconds in order, and reduce the load-side resources other than the interruptible loads in seconds to balance the remaining gap. Reduce to 0, summarize the resource adjustment of all load-side resources involved in the regulation starting from the second-level interruptible load, and generate a resource collaborative regulation strategy, as shown in Table 1: Table 1. Summary of resource coordination and control strategies ; The generated control strategy is safety-checked. After confirming that adjusting the multiple load-side resources according to the control strategy will not cause new grid operation problems, the control strategy is sent to the load-side resource operator. After receiving the control instruction, the load-side resource operator adjusts the load-side resources to eliminate the balance gap of the future state of the grid and ensure the balance of supply and demand of the grid.

[0059] In summary, the method for coordinated regulation of multiple load resources in a power grid imbalance scenario of the present invention can obtain a coordinated regulation strategy for multiple load-side resources that eliminates the future balance gap of the power grid. Compared with the current resource coordinated regulation method in the scenario of insufficient balance, the potential risk impact of insufficient power grid balance in the future period is evaluated in advance in a data-driven manner, and a more forward-looking active prediction and control of safety risks such as insufficient balance scenarios in the future power grid is achieved, ensuring the safe operation of the power grid.

[0060] Embodiment 2: A technical solution also provided in the embodiment of the present invention is: a multi-load resource coordinated control system; Figure 4 As shown, including: 101 data acquisition module, used to obtain the future state section of the power grid; 102 analysis module, used for performing a balance analysis on the future power grid according to the future power grid section data to determine the balance gap when the power grid has an insufficient balance scenario; 103 resource aggregation module, which aggregates multiple load-side resources connected to the power grid to build an aggregated resource pool; 104 strategy generation module, based on resource regulation characteristics and demand response characteristics, selects load-side resources that meet regulation requirements from the aggregated resource pool and generates a resource collaborative regulation strategy; 105 strategy execution module, which adjusts the load-side resources based on the control strategy to eliminate the balance gap of the future state of the power grid.

[0061] Embodiment 3: A technical solution provided in an embodiment of the present invention is: an electronic device, comprising: Memory, used to store programs; A processor is used to load the program to execute the steps of the method for coordinated regulation of multiple load resources in a power grid imbalance scenario.

[0062] Embodiment 4: A technical solution provided in an embodiment of the present invention is: a computer-readable storage medium storing a program, which, when executed by a processor, implements the steps of a method for coordinated regulation of multiple load resources in a power grid imbalance scenario.

[0063] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0064] In the embodiments provided in the present application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the embodiments of the structure described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another structure, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, structures or units, which can be electrical, mechanical or other forms.

[0065] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0066] In addition, each functional unit in the embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0067] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0068] The specific implementation described above is a preferred implementation of a method and system for coordinated control of multiple load resources in a power grid imbalance scenario of the present invention, and is not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to this specific implementation. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. A method for coordinated control of multiple load resources in a power grid imbalance scenario, characterized in that: The following steps are involved: S1. Obtain the future state section of the power grid, perform a balance analysis on the future state power grid to determine the balance gap when the power grid has an insufficient balance scenario; S2, aggregate multiple load-side resources connected to the power grid to build an aggregated resource pool; S3. According to the resource regulation characteristics and demand response characteristics, select the load-side resources that meet the regulation requirements from the aggregated resource pool and generate a resource collaborative regulation strategy; S4. Based on the control strategy, load-side resources are adjusted to eliminate the balance gap of the future state of the power grid.

2. A method for coordinated control of multiple load resources in a power grid imbalance scenario according to claim 1, characterized in that: The method of obtaining a future state section of the power grid and performing a balance analysis on the future state power grid to determine a balance gap when the power grid has an insufficient balance scenario comprises the following steps: S11. Cut the time domain according to the set time scale to obtain several future state sections of the power grid; calculate the maximum available power supply capacity and power demand of the power grid according to the unit plan value, new energy forecast value and load forecast value in each future state section of the power grid; S12, calculating the balance margin of the power grid according to the maximum available power supply capacity and the power demand combined with the reserve value that the power grid should reserve, and when the balance margin is less than 0, determining that the power grid balance shortage scenario occurs in the time period corresponding to the future state section of the current power grid; S13. Determine the balance gap of the power grid in the future state section of the current power grid according to the absolute value of the balance margin when the power grid has an insufficient balance scenario.

3. The method for coordinated control of multiple load resources in a power grid imbalance scenario according to claim 1, characterized in that: The method of aggregating the multiple load-side resources connected to the power grid to build an aggregated resource pool includes the following steps: S21, establishing a topological connection relationship between the load-side resources and the physical power grid structure in combination with the grid connection point information of the load-side resources; S22, based on the topological connection relationship, aggregate the load-side resources layer by layer to form a load-side resource hierarchical partition aggregation object; S23. Selecting a load-side resource aggregation object of a corresponding spatial dimension from the hierarchical partition aggregation object according to the spatial scope of the power grid where the underbalance scenario occurs; S24. Construct an aggregated resource pool with multi-dimensional coupling of space, resource type and response time level under the load-side resource aggregation object according to the load-side resource response time and resource type.

4. A method for coordinated control of multiple load resources in a power grid imbalance scenario according to claim 3, characterized in that: The method of establishing a topological connection relationship between the load-side resources and the physical power grid structure in combination with the grid connection point information of the load-side resources includes the following steps: Combined with the grid connection point information of the load-side resources, an upward topological search is performed starting from the load grid-connected feeder based on the breadth-first search method to establish the topological connection relationship between the load-side resources and the physical power grid structure.

5. The method for coordinated control of multiple load resources in a power grid imbalance scenario according to claim 3, characterized in that: The method of aggregating the load-side resources layer by layer upward based on the topological connection relationship to form a load-side resource hierarchical partition aggregation object includes the following steps: Based on the topological connection relationship, the load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas of different voltage levels are formed by upward aggregation from low voltage level to high voltage level. The load-side resource hierarchical and partitioned aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation partition resource aggregation objects, and regional resource aggregation objects.

6. A method for coordinated control of multiple load resources in a power grid imbalance scenario according to claim 5, characterized in that: The method of constructing a multi-dimensionally coupled aggregated resource pool of space-resource type-response time level under a load-side resource aggregation object according to the load-side resource response time and resource type includes: Aggregate the response time levels of multiple load-side resources step by step, and combine the spatial dimension to perform multi-temporal and spatial dimension aggregation at the space-response time level to obtain the corresponding response time dimension aggregation object under the load-side resource aggregation; Classify and aggregate four types of load-side resources, namely electric vehicles, virtual power plants, energy storage, and second-level interruptible loads, to obtain the corresponding resource type dimension aggregation objects under load-side resource aggregation; Based on the response time dimension aggregation object and the resource type dimension aggregation object, multi-dimensional aggregation at the space-resource type-response time level is performed to build a multi-dimensional coupled aggregation resource pool.

7. The method for coordinated control of multiple load resources in a power grid imbalance scenario according to claim 1, characterized in that: The method of selecting load-side resources that meet the regulation requirements from the aggregated resource pool according to the resource regulation characteristics and the demand response characteristics, and generating a resource collaborative regulation strategy, comprises the following steps: S31. For the scenario of insufficient grid balance in the future, use the Boolean matrix to determine the time period when the load-side resources are in the scenario of insufficient grid balance; select the load-side resources that meet the regulation requirements in each aggregated resource pool according to the resource regulation characteristics and demand response characteristics; S33, for the period of time when the balance gap occurs, sequentially obtain the load power corresponding to the second-level interruptible load in the aggregated resource pool and generate a load power sequence from large to small, and cut off the corresponding interruptible load in accordance with the power sequence until the balance gap is eliminated, and execute S36; if the elimination gap is not eliminated, execute step S34; S34, sequentially obtain the load reduction capacity corresponding to the minimum load of the response time level in the aggregated resource pool and generate a load reduction capacity sequence from large to small, and sequentially reduce the corresponding minimum load of the response time level according to the load reduction capacity sequence until the balance gap is eliminated, and execute S36; if the balance gap is still not eliminated, sequentially cut off the corresponding interruptible load until the gap is eliminated, and execute S36; if the gap is still not eliminated, execute S35; S35, executing the response time level load from small to large in turn according to the step of S34 until the gap is eliminated, and executing S36; S36. Taking the aggregated resource pool as a unit, record the data of the load-side resource elimination process and the adjustment status of the above-mentioned second-level interruptible load and response time level load participating in the regulation to generate a resource collaborative regulation strategy; if the balance gap is not eliminated after the load-side resources in all aggregated resource pools have been lowered, output a "balance gap cannot be eliminated" warning signal.

8. A multi-load resource coordinated control system, applicable to a multi-load resource coordinated control method in a power grid imbalance scenario as claimed in any one of claims 1 to 7, characterized in that: Data acquisition module, used to obtain the future state section of the power grid; An analysis module is used to perform a balance analysis on the future power grid based on the future power grid section data to determine the balance gap when the power grid has an insufficient balance scenario; Resource aggregation module aggregates multiple load-side resources connected to the power grid to build an aggregated resource pool; The strategy generation module selects load-side resources that meet the regulation requirements from the aggregated resource pool according to the resource regulation characteristics and demand response characteristics, and generates a resource collaborative regulation strategy; The strategy execution module adjusts the load-side resources based on the control strategy to eliminate the balance gap of the future state of the power grid.

9. An electronic device, characterized in that: include: Memory, used to store programs; A processor is used to load the program to execute the steps of a method for coordinated regulation of multiple load resources in a power grid imbalance scenario as described in any one of claims 1-7.

10. A computer-readable storage medium storing a program, characterized in that: When the program is executed by the processor, the steps of a method for coordinated regulation of multiple load resources in a power grid imbalance scenario as described in any one of claims 1 to 7 are implemented.

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