A method and system for coordinated regulation of multiple load resources under power grid imbalance scenarios

Abstract

This invention discloses a method and system for coordinated regulation of multiple load resources under power grid imbalance scenarios, relating to the field of power regulation technology. The method includes the following steps: S1, obtaining a future state profile of the power grid and performing balance analysis on the future state grid to determine the balance gap when the grid experiences insufficient balance; S2, aggregating multiple load-side resources connected to the grid to construct an aggregated resource pool; S3, selecting load-side resources that meet regulation requirements from the aggregated resource pool based on resource regulation characteristics and demand response characteristics, and generating a resource coordinated regulation strategy; S4, adjusting the load-side resources based on the regulation strategy to eliminate the future balance gap of the power grid. This solution can proactively predict and control potential future power grid imbalance scenarios, effectively improving the power system's risk perception and handling capabilities when the grid is unbalanced, and ensuring the safe operation of the power grid.

Description

Technical Field

[0001] This invention relates to the field of power regulation technology, specifically to a method and system for coordinated regulation of multiple load resources under power grid imbalance scenarios. Background Technology

[0002] Because clean and renewable energy sources such as wind and solar power are characterized by randomness, intermittency, and volatility, their large-scale and high-proportion integration into the power grid brings a series of new challenges to power system balance regulation. To ensure the safety and stability of the power grid after the integration of new energy sources, it is urgent to tap the load-side resource regulation capacity, and multi-faceted load-side resource coordinated regulation is particularly important for scenarios where grid imbalance may occur.

[0003] Currently, the coordinated regulation of resources on multiple load sides under the scenario of insufficient grid balance is mostly based on the emergency formulation of resource regulation strategies after the scenario of insufficient balance occurs in the real-time operation of the grid. There is relatively little research on the early assessment of the potential risks of insufficient grid balance in the future period and the generation of resource coordinated regulation strategies to eliminate the future balance gap of the grid. There is also a lack of effective proactive prediction and control methods for safety risks such as the occurrence of insufficient grid balance in the future.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to address the lack of effective proactive prediction and control methods for security risks in future power grid imbalance scenarios. It proposes a method and system for coordinated regulation of multiple load resources under power grid imbalance scenarios. Through a data-driven approach, it performs balance analysis on the future power grid. For scenarios of future power grid imbalance, it aggregates multiple load-side resources connected to the grid to construct an aggregated resource pool, generates a resource coordinated regulation strategy, and issues the regulation strategy to adjust load-side resources, eliminating the balance gap in the future power grid. This enables proactive prediction and control of potential future power grid imbalance scenarios, effectively improving the power system's risk perception and handling capabilities in the event of power grid imbalance, and ensuring the safe operation of the power grid.

[0006] In a first aspect, one technical solution provided in this embodiment of the invention is: a method for coordinated regulation of multiple load resources under power grid imbalance scenarios, comprising the following steps:

[0007] S1. Obtain the future state profile of the power grid and perform balance analysis on the future state power grid to determine the balance gap when the power grid is in a state of insufficient balance.

[0008] S2. Aggregate the diverse load-side resources connected to the power grid to construct an aggregated resource pool;

[0009] S3. Based on the resource regulation characteristics and demand response characteristics, select load-side resources that meet the regulation requirements from the aggregated resource pool and generate a resource coordination regulation strategy.

[0010] S4. Adjust load-side resources based on control strategies to eliminate future balance gaps in the power grid.

[0011] Preferably, the step of obtaining the future state profile of the power grid and performing balance analysis on the future state power grid to determine the balance gap when the power grid experiences an imbalance scenario includes the following steps:

[0012] S11. Divide 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 based on the planned unit value, new energy forecast value and load forecast value in each future state section of the power grid.

[0013] S12. Calculate the grid balance margin based on the maximum available power supply capacity and power demand, combined with the grid reserve value. When the balance margin is less than 0, determine the time period corresponding to the current grid future state section where the grid balance is insufficient.

[0014] S13. Determine the balance gap of the power grid in the current future state section based on the absolute value of the balance margin when the power grid experiences an imbalance scenario.

[0015] Preferably, the aggregation of diverse load-side resources connected to the power grid to construct an aggregated resource pool includes the following steps:

[0016] S21. Establish the topological connection relationship between load-side resources and the physical power grid structure by combining the grid connection point information of load-side resources;

[0017] S22. Based on the topological connection relationship, load-side resources are aggregated layer by layer upwards to form load-side resource hierarchical and partitioned aggregated objects;

[0018] S23. Based on the spatial range of the power grid where the imbalance scenario occurs, select the load-side resource aggregation object of the corresponding spatial dimension in the hierarchical and partitioned aggregation object;

[0019] S24. Based on the load-side resource response time and resource type, construct a multi-dimensional coupled aggregated resource pool with spatial, resource type, and response time levels under the load-side resource aggregation object.

[0020] Preferably, the step of establishing the topological connection relationship between load-side resources and the physical power grid structure by combining the grid connection point information of load-side resources includes the following steps:

[0021] By combining the grid connection point information of load-side resources, a topology search is performed starting from the load grid connection feeder based on the breadth-first search method to establish the topological connection relationship between load-side resources and the physical power grid structure.

[0022] Preferably, the step of aggregating load-side resources layer by layer upwards based on topological connectivity to form a hierarchical and partitioned load-side resource aggregation object includes the following steps:

[0023] Based on the topological connection relationship, the aggregation is carried out layer by layer from low voltage level to high voltage level to form load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas of different voltage levels.

[0024] The load-side resource hierarchical and zonal aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation zone resource aggregation objects, and regional resource aggregation objects.

[0025] Preferably, the step of constructing a multi-dimensional coupled aggregated resource pool based on load-side resource response time and resource type under the load-side resource aggregation object includes:

[0026] Aggregate resources according to the response time level of multiple load-side resources step by step, and combine spatial dimension to perform spatial-response time level multi-temporal dimension aggregation to obtain the corresponding response time dimension aggregation object under load-side resource aggregation;

[0027] Load-side resources are categorized and aggregated into four main types: electric vehicles, virtual power plants, energy storage, and second-level interruptible loads, resulting in corresponding resource type dimension aggregation objects under load-side resource aggregation.

[0028] Based on response time-dimensional aggregated objects and resource type-dimensional aggregated objects, a multi-dimensional coupled aggregated resource pool is constructed by performing space-resource type-response time level multi-dimensional aggregation.

[0029] Preferably, the step of selecting load-side resources that meet the control requirements from the aggregated resource pool based on resource regulation characteristics and demand response characteristics, and generating a resource coordinated control strategy, includes the following steps:

[0030] S31. For future scenarios of insufficient grid balance, use a Boolean matrix to determine the time period in which the load-side resources are in a scenario of insufficient grid balance; and select load-side resources that meet the control requirements from each aggregated resource pool based on resource regulation characteristics and demand response characteristics.

[0031] S33. For the period when an imbalance gap occurs, sequentially obtain the load power corresponding to the second-level interruptible loads in the aggregated resource pool and generate a load power sequence from largest to smallest. Based on the power sequence, sequentially cut off the corresponding interruptible loads until the imbalance gap is eliminated, and proceed to S36; if the gap is not eliminated after elimination, proceed to step S34;

[0032] S34. Sequentially obtain the load reduction capacity corresponding to the minimum response time level load in the aggregated resource pool and generate a load reduction capacity sequence from large to small. According to the load reduction capacity sequence, sequentially reduce the corresponding minimum response time level load until the balance gap is eliminated, and execute S36. If the balance gap is still not eliminated, sequentially cut off the corresponding interruptible loads until the gap is eliminated, and execute S36. If the gap is still not eliminated, execute S35.

[0033] S35. Following the steps in S34, execute the load in rounds with the response time level increasing from small to large until the gap is eliminated, then execute S36.

[0034] S36. Using the aggregated resource pool as a unit, record the data and adjustment status of the interruptible load at the second level and the load at the response time level participating in the adjustment of load-side resources and generate a resource coordination and control strategy; if the balance gap is still not eliminated after all load-side resources in the aggregated resource pool have been reduced, output an "Unable to eliminate balance gap" warning signal.

[0035] Secondly, an embodiment of the present invention also provides a technical solution: a multi-load resource collaborative regulation system, which is applicable to the multi-load resource collaborative regulation method under a power grid imbalance scenario.

[0036] The data acquisition module is used to obtain future state profiles of the power grid;

[0037] The analysis module is used to perform balance analysis on the future state of the power grid based on the future state cross-sectional data of the power grid to determine the balance gap when the power grid is in a state of insufficient balance.

[0038] The resource aggregation module aggregates diverse load-side resources connected to the power grid to construct an aggregated resource pool;

[0039] The strategy generation module selects load-side resources that meet the control requirements from the aggregated resource pool based on resource regulation characteristics and demand response characteristics, and generates resource coordination control strategies.

[0040] The strategy execution module adjusts load-side resources based on control strategies to eliminate future balance gaps in the power grid.

[0041] Thirdly, one technical solution provided in the embodiments of the present invention is: an electronic device, comprising:

[0042] Memory, used to store programs;

[0043] A processor is used to load the program to execute the steps of the method for coordinated regulation of multiple load resources under power grid imbalance scenarios.

[0044] Fourthly, one technical solution provided in this embodiment of the invention is: a computer-readable storage medium storing a program, which, when executed by a processor, implements the steps of the method for coordinated regulation of multiple load resources under a power grid imbalance scenario.

[0045] The beneficial effects of this invention are:

[0046] (1) To address the problem that existing technologies lack proactive prediction of future grid imbalances, this application proposes a data-driven approach to perform balance analysis on future grids. By acquiring future grid cross-sections, calculating the grid's maximum available power supply capacity and electricity demand, and combining this with the grid's reserve value, the balance margin is calculated, thereby determining potential balance gaps in the future grid. This approach enables the grid to assess potential risks and generate corresponding resource coordination and control strategies before future imbalance scenarios occur, effectively improving the power system's risk perception and handling capabilities when grid imbalances occur, and ensuring the safe operation of the grid.

[0047] (2) To address the issue of low efficiency in the coordinated scheduling of multiple load resources, this application proposes establishing a topological connection between load-side resources and the physical power grid structure by combining the grid connection point information of load-side resources. Based on this topological connection, resources are aggregated layer by layer upwards to form hierarchical and partitioned load-side resource aggregation objects. Simultaneously, based on the response time and resource type of load-side resources, a multi-dimensional coupled aggregation resource pool is constructed, considering space, resource type, and response time levels. This technical approach enables the system to flexibly select and call load-side resources that meet the specific needs of power grid imbalance scenarios, thereby improving the efficiency of coordinated control of multiple load-side resources.

[0048] (3) Regarding the optimization of the balance gap elimination strategy, this application proposes to determine the available time period of load-side resources in the scenario of insufficient grid balance through a Boolean matrix, and to sequentially cut off interruptible loads or reduce loads at the response time level according to the load power sequence and load reduction capacity sequence, thereby gradually eliminating the grid balance gap. At the same time, the system records the adjustment process data and adjustment status of load-side resources and generates a resource coordinated control strategy. This technical means realizes precise control of the grid balance gap, ensures the stable operation of the grid in the scenario of insufficient balance, and issues early warning signals in a timely manner when the balance gap cannot be eliminated, further improving the safety and reliability of the grid.

[0049] The above description of the invention is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0050] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings.

[0051] Figure 1 This is a flowchart of a method for coordinated regulation of multiple load resources under power grid imbalance scenarios according to the present invention.

[0052] Figure 2 This is a flowchart of the balance analysis of the future power grid according to the present invention.

[0053] Figure 3 This is a flowchart illustrating the construction process of the aggregated resource pool in this invention.

[0054] Figure 4 This is a schematic diagram of the structure of a multi-load resource collaborative control system according to the present invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only one preferred embodiment of this invention and are only used to explain this invention. They do not limit the scope of protection of this invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0056] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations (or steps) can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the figures; the process may correspond to a method, function, procedure, subroutine, subroutine, etc.

[0057] Example 1:

[0058] like Figure 1As shown, a method for coordinated regulation of multiple load resources under power grid imbalance scenarios includes the following steps:

[0059] S1. Obtain the future state profile of the power grid, and perform balance analysis on the future state power grid to determine the balance gap when the power grid is in a state of insufficient balance.

[0060] As an alternative embodiment, such as Figure 2 As shown, S1 includes the following steps:

[0061] S11. Divide 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 based on the planned unit value, new energy forecast value and load forecast value in each future state section of the power grid.

[0062] S12. Calculate the grid balance margin based on the maximum available power supply capacity and power demand, combined with the grid reserve value. When the balance margin is less than 0, determine the time period corresponding to the current grid future state section where the grid balance is insufficient.

[0063] S13. Determine the balance gap of the power grid in the current future state section based on the absolute value of the balance margin when the power grid experiences an imbalance scenario.

[0064] In this embodiment of the application, the time range of the future state profile of the power grid is 24 hours of the next day. Within 24 hours of the next day, the power grid profile is obtained every 15 minutes. It includes the planned value of the generating units at that moment as well as the predicted data of new energy sources and loads. A total of 96 future time periods are obtained for the corresponding future state profile of the power grid.

[0065] In this embodiment of the application, the maximum available power supply capacity of the power grid Indicators and electricity demand The indicators are expressed as follows:

[0066] ;

[0067] ;

[0068] in, It represents the maximum output of thermal power in the power grid, and T represents the T-th future time period. This is the planned nuclear power output value for the power grid in the Tth future time period. This is the predicted wind power output of the power grid in the Tth future time period. This is the predicted value of the grid's photovoltaic output in the T-th future time period. This is the planned output value of the pumped storage power grid in the Tth future time period. It is the predicted power load of the power grid in the Tth future time period.

[0069] In the embodiments of this application, the balance margin of the power grid The indicator is expressed as:

[0070] ;

[0071] in, Let T be the maximum available power supply capacity of the power grid in the T-th future time period. For the electricity demand of the grid in the T-th future time period, Reserves are made for the power grid in the Tth future time period; the reserve value is set by the power grid dispatcher and is generally not less than the maximum single-unit capacity of the power grid at that time. For example, when the maximum single-unit capacity of the power grid planned to operate in the Tth future time period is 1000MW, the reserve value for the Tth future time period is... It can be set to 1500MW.

[0072] Understandably, based on the calculated future power grid balance margin value, a balance analysis can be performed on the future power grid to identify the periods when grid imbalance scenarios occur. For example, if the power grid balance margin in the Tth future period... If the power grid is in a state of balance between power generation and consumption in the T-th future time period, then there is no balance gap. If the power grid balance margin in the T-th future time period... If the power grid is in a state of underbalance in the T-th future time period, there is a balance gap.

[0073] In this embodiment of the application, when the future power grid experiences an imbalance scenario, the balance gap of the power grid in the Tth future time period is... The indicator is expressed as:

[0074] ;

[0075] in, Let T represent the grid balance margin when the grid experiences a future imbalance scenario, where T indicates that the future imbalance scenario occurs in the T-th future time period.

[0076] S2. Aggregate the diverse load-side resources connected to the power grid to construct an aggregated resource pool.

[0077] As an alternative embodiment, such as Figure 3 The S2 shown includes the following steps:

[0078] S21. Establish the topological connection relationship between load-side resources and the physical power grid structure by combining the grid connection point information of load-side resources;

[0079] S22. Based on the topological connection relationship, load-side resources are aggregated layer by layer upwards to form load-side resource hierarchical and partitioned aggregated objects;

[0080] S23. Based on the spatial range of the power grid where the imbalance scenario occurs, select the load-side resource aggregation object of the corresponding spatial dimension in the hierarchical and partitioned aggregation object;

[0081] S24. Based on the load-side resource response time and resource type, construct a multi-dimensional coupled aggregated resource pool with spatial, resource type, and response time levels under the load-side resource aggregation object.

[0082] In this embodiment of the application, the load-side resources and the physical power grid structure are established by combining the grid connection point information of the load-side resources and performing an upward topology search starting from the load grid connection feeder based on the breadth-first search method.

[0083] As an optional embodiment, the aggregation of load-side resources layer by layer upwards based on topological connectivity to form a hierarchical and partitioned aggregated object of load-side resources includes the following steps:

[0084] Based on the topological connection relationship, the aggregation is carried out layer by layer from low voltage level to high voltage level to form load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas of different voltage levels.

[0085] The load-side resource hierarchical and zonal aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation zone resource aggregation objects, and regional resource aggregation objects.

[0086] In this embodiment, the load-side resources and the physical power grid structure are aggregated layer by layer from low voltage level to high voltage level to form load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas with different voltage levels such as 10kV-35kV-110kV-220kV-500kV.

[0087] Furthermore, in this embodiment, the load-side resource hierarchical and partitioned aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation zone resource aggregation objects, and regional resource aggregation objects.

[0088] Among them, feeder resource aggregation: based on the topological connection relationship between load-side resources and physical power grid structure, the diverse 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.

[0089] Among them, the main transformer resource aggregation: based on the topological connection relationship between load-side resources and the physical power grid structure, aggregation is carried out layer by layer from low voltage level to high voltage level. The diverse load-side resources under the jurisdiction of the main transformers at voltage levels of 35kV, 110kV, and 220kV are aggregated to form a load-side resource aggregation object with the high voltage side of the main transformer as the aggregation unit.

[0090] Operational zone resource aggregation: Based on the topological connection between load-side resources and the physical power grid structure, aggregation is carried out layer by layer from low voltage level to high voltage level to form load-side resource aggregation objects with 500kV operation zones as the aggregation unit.

[0091] Among them, regional resource aggregation: For the region to which the load-side resources belong, the diverse load-side resources within the region's jurisdiction are aggregated to form a load-side resource aggregation object with the region as the aggregation unit.

[0092] It also includes province-wide resource aggregation, which aggregates load-side resources at the provincial level as the aggregation unit for regional resource aggregation data, forming province-wide load-side resource aggregation objects.

[0093] Understandably, if the power grid spatial range where the imbalance scenario occurs belongs to a provincial power grid, then the load-side resource aggregation object of the entire province is selected; if the power grid spatial range where the imbalance scenario occurs belongs to a regional power grid, then the load-side resource aggregation object of that region is selected.

[0094] As an optional embodiment, the step of constructing a multi-dimensional coupled aggregated resource pool based on load-side resource response time and resource type under the load-side resource aggregation object includes:

[0095] Aggregate resources according to the response time level of multiple load-side resources step by step, and combine spatial dimension to perform spatial-response time level multi-temporal dimension aggregation to obtain the corresponding response time dimension aggregation object under load-side resource aggregation;

[0096] Load-side resources are categorized and aggregated into four main types: electric vehicles, virtual power plants, energy storage, and second-level interruptible loads, resulting in corresponding resource type dimension aggregation objects under load-side resource aggregation.

[0097] Based on response time-dimensional aggregated objects and resource type-dimensional aggregated objects, a multi-dimensional coupled aggregated resource pool is constructed by performing space-resource type-response time level multi-dimensional aggregation.

[0098] In one optional embodiment, the resources are aggregated according to response time levels one through seven, including: the response times of the resources are divided into seven levels, as follows:

[0099] Level 1 Response: The response objective is achieved within 1 second.

[0100] Level 2 Response: The response objective is achieved within 1 second (1 minute) of response time.

[0101] Level 3 Response: The response objective is achieved within 1 minute to 15 minutes.

[0102] Level 4 Response: The response objective is achieved within 15 minutes to 30 minutes.

[0103] Level 5 Response: The response objective is achieved within 30 minutes to 2 hours.

[0104] Level 6 Response: The response objective is achieved within 2 hours (2H < response time ≤ 24H).

[0105] Level 7 Response: The response time is more than 24 hours and the response objective is achieved.

[0106] Interruptible loads with a response time of seconds refer to loads that can be disconnected within a few seconds by a rapid response system in the event of a power grid emergency. Based on the correspondence between resource response time levels and response time requirements, interruptible loads with a response time of seconds belong to the second-level response resource category.

[0107] It is understandable that if the power grid spatial range where the imbalance occurs belongs to the regional power grid, for example, 1-“Region-Electric Vehicle-Response Level 3” means that there is an electric vehicle aggregation resource pool with a response time of Level 3 in this region; 2-“Region-Virtual Power Plant-Response Level 4” means that there is a virtual power plant aggregation resource pool with a response time of Level 4 in this region.

[0108] S3. Based on the resource regulation characteristics and demand response characteristics, select load-side resources that meet the regulation requirements from the aggregated resource pool and generate a resource coordination regulation strategy.

[0109] As an optional embodiment, S3 includes the following steps:

[0110] S31. For future scenarios of insufficient grid balance, use a Boolean matrix to determine the time period in which the load-side resources are in a scenario of insufficient grid balance; and select load-side resources that meet the control requirements from each aggregated resource pool based on resource regulation characteristics and demand response characteristics.

[0111] S33. For the period when an imbalance gap occurs, sequentially obtain the load power corresponding to the second-level interruptible loads in the aggregated resource pool and generate a load power sequence from largest to smallest. Based on the power sequence, sequentially cut off the corresponding interruptible loads until the imbalance gap is eliminated, and proceed to S36; if the gap is not eliminated after elimination, proceed to step S34;

[0112] S34. Sequentially obtain the load reduction capacity corresponding to the minimum response time level load in the aggregated resource pool and generate a load reduction capacity sequence from large to small. According to the load reduction capacity sequence, sequentially reduce the corresponding minimum response time level load until the balance gap is eliminated, and execute S36. If the balance gap is still not eliminated, sequentially cut off the corresponding interruptible loads until the gap is eliminated, and execute S36. If the gap is still not eliminated, execute S35.

[0113] S35. Following the steps in S34, execute the load in rounds with the response time level increasing from small to large until the gap is eliminated, then execute S36.

[0114] S36. Using the aggregated resource pool as a unit, record the data and adjustment status of the interruptible load at the second level and the load at the response time level participating in the adjustment of load-side resources and generate a resource coordination and control strategy; if the balance gap is still not eliminated after all load-side resources in the aggregated resource pool have been reduced, output an "Unable to eliminate balance gap" warning signal.

[0115] In this embodiment of the application, in S31, for a future scenario of insufficient grid balance, a Boolean matrix is ​​used to determine whether the adjustable period of the load-side resources falls within the period of the insufficient grid balance scenario. The Boolean matrix Y used to determine whether the adjustable period of the load-side resources falls within the period of the insufficient grid balance scenario is represented as follows:

[0116] ;

[0117] in, Variables are 0 and 1. This indicates that load-side resources cannot participate in grid regulation during the i-th future time period. This indicates that load-side resources can participate in grid regulation during the i-th future time period. (The matrix on the right is shown.) Variables are 0 and 1. This indicates that there is no power grid imbalance scenario in the i-th future time period. This indicates a scenario where the power grid is unbalanced in the i-th future time period.

[0118] For scenarios of power grid imbalance in the future, a Boolean matrix is ​​found based on the i-th future time period in which the scenario occurs. If a certain load-side resource appears in the same row, If so, then the load-side resource is an unsuitable resource that cannot participate in grid regulation when there is a grid imbalance scenario.

[0119] In this embodiment of the application, S33 calculates the remaining balance gap after cutting off interruptible loads at the second level. And the remaining balance gap after load reduction is calculated in S34. The remaining balance gap after cutting off the i-th second-level interruptible load or reducing the i-th load-side resources. The indicator is expressed as:

[0120] ;

[0121] ;

[0122] Where T represents the T-th future time period in the scenario of insufficient power grid balance. It refers to the remaining balance gap before cutting off the i-th interruptible load or reducing the i-th load-side resources. It is the power value of the interruptible load at the i-th second level that is cut off during this period, or the load reduction amount of the i-th load-side resource during this period; It is the remaining balance gap before the first interruptible load on the second level is cut off; It refers to the power grid's imbalance gap during a given period when the power grid experiences an imbalance.

[0123] S4. Adjust load-side resources based on control strategies to eliminate future balance gaps in the power grid.

[0124] In this embodiment of the application, the generated control strategy is subjected to security verification to analyze whether adjusting the multi-load-side resources according to the control strategy will cause new power grid operation problems; if it is confirmed that adjusting the multi-load-side resources according to the control strategy will not cause new power 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 in the future state of the power grid and ensure the balance of power grid supply and demand.

[0125] Referring to Table 1, to verify its beneficial effects, a specific example of coordinated regulation of resources on multiple load sides under a scenario of insufficient power grid balance is provided. The specific implementation is as follows:

[0126] In this embodiment, a provincial power grid acquired the future state profile of the power grid for the next 24 hours on July 12, 2023, and performed a balance analysis on the future state of the power grid on July 13, 2023. Based on the planned values ​​and forecast data every 15 minutes, the balance margin of the power grid was calculated for 96 future time periods within the day on July 13, 2023. According to the balance margin value, the time period when the power grid balance deficiency scenario occurred was identified as 10:00 on July 13, 2023. Based on the balance margin when the power grid balance deficiency scenario occurred, the balance gap of the power grid during this time period was calculated to be 2100MW.

[0127] The diverse load-side resources connected to the power grid are aggregated. Based on the grid connection point information of the load-side resources, the topological connection relationship between the load-side resources and the physical power grid structure is established. Based on the topological relationship, the load-side resources are aggregated layer by layer upward to form a load-side resource aggregation object with the province as the aggregation unit. Considering the response time and resource type of the load-side resources, a multi-dimensional coupled aggregation resource pool with different load types and different response times is constructed under the provincial-level aggregation object.

[0128] Based on resource regulation and demand response characteristics, load-side resources that meet the regulation requirements are selected. Interruptible loads with a duration of seconds are cut off in sequence, and load-side resources other than those with such durations are reduced, thus addressing the remaining balance gap. Reduced to 0, summarizing the resource adjustment status of all load-side components involved in the adjustment, starting from the second-level interruptible load, and generating a resource coordination and control strategy, as shown in Table 1:

[0129] Table 1. Summary of Resource Coordination and Regulation Strategies

[0130] ;

[0131] The generated control strategy is subjected to safety verification. After confirming that adjusting the multi-load-side resources according to the control strategy will not cause new power grid operation problems, the control strategy is sent to the load-side resource operators. After receiving the control instructions, the load-side resource operators adjust the load-side resources to eliminate the balance gap in the future state of the power grid and ensure the balance between power grid supply and demand.

[0132] In summary, the multi-load resource coordinated regulation method of the present invention under power grid imbalance scenarios can obtain a multi-load resource coordinated regulation strategy to eliminate future power grid balance gaps. Compared with the current resource coordinated regulation method under unbalanced scenarios, this method uses a data-driven approach to assess the potential risk impact of future power grid imbalances in advance, achieving more forward-looking proactive prediction and control of security risks such as future power grid imbalance scenarios, thus ensuring the safe operation of the power grid.

[0133] Example 2:

[0134] One technical solution also provided in this embodiment of the invention is: a multi-source load resource coordinated control system; such as... Figure 4 As shown, it includes:

[0135] The 101 data acquisition module is used to acquire future state profiles of the power grid.

[0136] The 102 analysis module is used to perform balance analysis on the future state of the power grid based on the future state cross-sectional data of the power grid to determine the balance gap when the power grid is in a state of insufficient balance.

[0137] The 103 resource aggregation module aggregates diverse load-side resources connected to the power grid to construct an aggregated resource pool;

[0138] The 104 strategy generation module selects load-side resources that meet the control requirements from the aggregated resource pool based on resource regulation characteristics and demand response characteristics, and generates resource coordination control strategies.

[0139] The 105 strategy execution module adjusts load-side resources based on control strategies to eliminate future balance gaps in the power grid.

[0140] Example 3:

[0141] One technical solution provided in this embodiment of the invention is: an electronic device, comprising:

[0142] Memory, used to store programs;

[0143] A processor is used to load the program to execute the steps of the method for coordinated regulation of multiple load resources under power grid imbalance scenarios.

[0144] Example 4:

[0145] One technical solution provided in this embodiment of the 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 under a power grid imbalance scenario.

[0146] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above 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.

[0147] In the embodiments provided in this application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the structural embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another structure, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between structures or units, and may be electrical, mechanical, or other forms.

[0148] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0149] Furthermore, in the embodiments of this application, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0150] If the integrated unit is implemented as 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 solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0151] The specific embodiments described above are preferred embodiments of the method and system for coordinated regulation of multiple load resources under power grid imbalance scenarios of the present invention, and are not intended to limit the specific scope of the present invention. The scope of the present invention includes but is not limited to the specific embodiments described above. 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 regulation of multiple load resources under power grid imbalance scenarios, characterized in that, Includes the following steps: S1. Obtain the future state profile of the power grid and perform balance analysis on the future state power grid to determine the balance gap when the power grid is in a state of insufficient balance. S2. Aggregate the diverse load-side resources connected to the power grid to construct an aggregated resource pool; S3. Based on the resource regulation characteristics and demand response characteristics, select load-side resources that meet the regulation requirements from the aggregated resource pool and generate a resource coordination regulation strategy. S4. Adjust load-side resources based on control strategies to eliminate future power grid imbalance gaps; The aggregation of diverse load-side resources connected to the power grid to construct an aggregated resource pool includes the following steps: S21. Establish the topological connection relationship between load-side resources and the physical power grid structure by combining the grid connection point information of load-side resources; S22. Based on the topological connection relationship, load-side resources are aggregated layer by layer upwards to form load-side resource hierarchical and partitioned aggregated objects; S23. Based on the spatial range of the power grid where the imbalance scenario occurs, select the load-side resource aggregation object of the corresponding spatial dimension in the hierarchical and partitioned aggregation object; S24. Construct a multi-dimensional coupled aggregated resource pool based on the load-side resource response time and resource type under the load-side resource aggregation object, with spatial, resource type, and response time levels. The process of selecting load-side resources that meet the control requirements from the aggregated resource pool based on resource regulation characteristics and demand response characteristics, and generating a resource coordination control strategy, includes the following steps: S31. For future scenarios of insufficient grid balance, use a Boolean matrix to determine the time period in which the load-side resources are in a scenario of insufficient grid balance; and select load-side resources that meet the control requirements from each aggregated resource pool based on resource regulation characteristics and demand response characteristics. S33. For the period 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. According to the power sequence, sequentially cut off the corresponding interruptible loads until the balance gap is eliminated, and execute S36; if the gap is not eliminated, execute step S34. S34. Sequentially obtain the load reduction capacity corresponding to the minimum response time level load in the aggregated resource pool and generate a load reduction capacity sequence from large to small. According to the load reduction capacity sequence, sequentially reduce the corresponding minimum response time level load until the balance gap is eliminated, and execute S36. If the balance gap is still not eliminated, sequentially cut off the corresponding interruptible loads until the gap is eliminated, and execute S36. If the gap is still not eliminated, execute S35. S35. Following the steps in S34, execute the load in rounds with the response time level increasing from small to large until the gap is eliminated, then execute S36. S36. Using the aggregated resource pool as a unit, record the data and adjustment status of the interruptible load at the second level and the load at the response time level participating in the adjustment of load-side resources and generate a resource coordination and control strategy; if the balance gap is still not eliminated after all load-side resources in the aggregated resource pool have been reduced, output an "unable to eliminate balance gap" warning signal. The process of obtaining the future state profile of the power grid and performing balance analysis on the future state power grid to determine the balance gap when the power grid experiences an imbalance scenario includes the following steps: S11. Divide 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 based on the planned unit value, new energy forecast value and load forecast value in each future state section of the power grid. S12. Calculate the balance margin of the power grid based on the maximum available power supply capacity and power demand, combined with the reserve value that the power grid should retain. When the balance margin is less than 0, determine the outgoing power grid imbalance scenario corresponding to the current future state section of the power grid. S13. Determine the balance gap of the power grid in the current future state section based on the absolute value of the balance margin when the power grid experiences an imbalance scenario.

2. The method for coordinated regulation of multiple load resources under power grid imbalance scenario as described in claim 1, characterized in that: The process of establishing the topological connection between load-side resources and the physical power grid structure by combining the grid connection point information of load-side resources includes the following steps: By combining the grid connection point information of load-side resources, a topology search is performed starting from the load grid connection feeder based on the breadth-first search method to establish the topological connection relationship between load-side resources and the physical power grid structure.

3. The method for coordinated regulation of multiple load resources under power grid imbalance scenario as described in claim 1, characterized in that: The process of aggregating load-side resources layer by layer upwards based on topological connectivity to form a hierarchical and partitioned aggregated object of load-side resources includes the following steps: Based on the topological connection relationship, the aggregation is carried out layer by layer from low voltage level to high voltage level to form load-side resource hierarchical and partitioned aggregation objects of main transformers and supply areas of different voltage levels. The load-side resource hierarchical and zonal aggregation objects include feeder resource aggregation objects, main transformer resource aggregation objects, operation zone resource aggregation objects, and regional resource aggregation objects.

4. The method for coordinated regulation of multiple load resources under power grid imbalance scenario as described in claim 1, characterized in that: The construction of a multi-dimensional coupled aggregated resource pool based on load-side resource response time and resource type, under a load-side resource aggregation object, includes: Aggregate resources according to the response time level of multiple load-side resources step by step, and combine spatial dimension to perform spatial-response time level multi-temporal dimension aggregation to obtain the corresponding response time dimension aggregation object under load-side resource aggregation; Load-side resources are categorized and aggregated into four main types: electric vehicles, virtual power plants, energy storage, and second-level interruptible loads, resulting in corresponding resource type dimension aggregation objects under load-side resource aggregation. Based on response time-dimensional aggregated objects and resource type-dimensional aggregated objects, a multi-dimensional coupled aggregated resource pool is constructed by performing space-resource type-response time level multi-dimensional aggregation.

5. A multi-load resource coordinated control system, applicable to the multi-load resource coordinated control method under a power grid imbalance scenario as described in any one of claims 1-4, characterized in that: The data acquisition module is used to obtain future state profiles of the power grid; The analysis module is used to perform balance analysis on the future state of the power grid based on the future state cross-sectional data of the power grid to determine the balance gap when the power grid is in a state of insufficient balance. The resource aggregation module aggregates diverse load-side resources connected to the power grid to construct an aggregated resource pool; The strategy generation module selects load-side resources that meet the control requirements from the aggregated resource pool based on resource regulation characteristics and demand response characteristics, and generates resource coordination control strategies. The strategy execution module adjusts load-side resources based on control strategies to eliminate future power grid imbalance gaps.

6. An electronic device, characterized in that, include: Memory, used to store programs; A processor is configured 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 1-4.

7. A computer-readable storage medium storing a program, characterized in that, When the program is executed by the processor, it implements the steps of a method for coordinated regulation of multiple load resources under a power grid imbalance scenario as described in any one of claims 1-4.

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