User-side load control execution method and device based on power grid power flow topology, computer device, readable storage medium and program product

Abstract

The application relates to a user-side load control execution method and device based on power grid power flow topology, computer equipment, a computer readable storage medium and a computer program product, and relates to the field of power control and can improve the stability of power grid load control. The method comprises the following steps: determining the power supply load distribution of each power grid node based on pre-acquired power grid topology data and a pre-constructed load prediction model; the load prediction model is constructed based on preset power grid power flow constraints and is used for predicting the load demand of the power grid node at a future time; determining a load control instruction according to the power supply load distribution and sending the load control instruction to a target load control end to trigger the target load control end to perform load control according to the load control instruction; in the execution process of the load control performed at the target load control end, the load feedback state corresponding to the load control instruction is acquired, and the load control execution result is determined based on the load feedback state.

Description

Technical Field

[0001] This application relates to the field of power control technology, and in particular to a user-side load control execution method, apparatus, computer equipment, computer-readable storage medium, and computer program product based on power grid power flow topology. Background Technology

[0002] With the deepening of power market reforms and the increasing penetration of new energy sources, the power grid operating environment is becoming increasingly complex.

[0003] In extreme situations such as depletion of grid reserve capacity, localized overload, or excessive peak-to-valley differences, traditional supply and demand guarantee mechanisms often fall short. Existing load control methods typically rely on administrative divisions or static indicators for extensive power rationing, lacking effective feedback and closed-loop monitoring of actual implementation at the user side. This makes it difficult to achieve precise and effective load regulation when facing complex grid structures, posing a significant challenge to the safe and stable operation of the power grid. Summary of the Invention

[0004] Therefore, it is necessary to provide a user-side load control execution method, device, computer equipment, computer-readable storage medium, and computer program product based on power grid power flow topology to address the above-mentioned technical problems.

[0005] Firstly, this application provides a user-side load control execution method based on power grid power flow topology, including:

[0006] Based on pre-acquired power grid topology data and a pre-built load forecasting model, the power supply load distribution of each power grid node is determined; the load forecasting model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0007] The load control command is determined based on the power supply load distribution, and the load control command is sent to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command;

[0008] During the execution of load control at the target load control terminal, the load feedback status corresponding to the load control command is obtained, and the load control execution result is determined based on the load feedback status.

[0009] In one embodiment, determining the load control command based on the power supply load distribution includes:

[0010] If there is an overload node in the power supply load distribution where the load demand exceeds a preset safety threshold, then based on the power grid topology data, the candidate load control terminal corresponding to the overload node is determined.

[0011] According to the preset control priority strategy, the target load control terminal is selected from the candidate load control terminals, and the load control command is generated for the target load control terminal.

[0012] In one embodiment, the target load control terminal is located at a first grid node, and the first grid node is isolated from the second grid node that issues the load control command;

[0013] The step of determining the load control command based on the power supply load distribution and sending the load control command to the target load control terminal includes:

[0014] Based on the power supply load distribution, a load control command corresponding to the second power grid node is generated, and the load control command is encrypted and encapsulated to obtain an encrypted load control command.

[0015] Obtain the isolated transmission path from the second power grid node to the first power grid node;

[0016] The encrypted load control command is sent to the target load control terminal of the first power grid node through the isolated transmission path.

[0017] In one embodiment, the load feedback status includes line operation data and the operating status of a first device;

[0018] Determining the load control execution result based on the load feedback status includes:

[0019] Based on the line operation data, determine the load response characteristics;

[0020] If the target device operating state indicated by the load response characteristics does not match the first device operating state, then the load control execution result is determined to be an abnormal state.

[0021] In one embodiment, after determining the load control execution result based on the load feedback state, the method further includes:

[0022] When it is determined that the load control execution result is an abnormal state, a status call command is sent to the target load control terminal;

[0023] Obtain the second device operating status returned by the target load control terminal based on the status call command;

[0024] If the operating status of the target device does not match the operating status of the second device, an alarm message is generated and sent to the target load control terminal.

[0025] In one embodiment, after determining the load control execution result based on the load feedback state, the method further includes:

[0026] The load response accuracy is determined based on the degree of difference between the line operation data in the load feedback state and the target operation data in the load control command.

[0027] Based on the time interval between the issuance of the load control command and the change of the target load control terminal status, a load response timeliness is generated;

[0028] Based on the load control execution results, the load response accuracy, and the load response timeliness, the regulation reliability of the target load control terminal is determined, and the regulation priority of the target load control terminal in the next load control is adjusted according to the regulation reliability.

[0029] Secondly, this application also provides a user-side load control execution device based on power grid power flow topology, comprising:

[0030] The load distribution determination module is used to determine the power supply load distribution of each power grid node based on pre-acquired power grid topology data and a pre-built load prediction model; the load prediction model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0031] The control command issuing module is used to determine the load control command based on the power supply load distribution and send the load control command to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command;

[0032] The control execution module is used to perform the load control execution process at the target load control terminal, obtain the load feedback status corresponding to the load control command, and determine the load control execution result based on the load feedback status.

[0033] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0034] Based on pre-acquired power grid topology data and a pre-built load forecasting model, the power supply load distribution of each power grid node is determined; the load forecasting model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0035] The load control command is determined based on the power supply load distribution, and the load control command is sent to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command;

[0036] During the execution of load control at the target load control terminal, the load feedback status corresponding to the load control command is obtained, and the load control execution result is determined based on the load feedback status.

[0037] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0038] Based on pre-acquired power grid topology data and a pre-built load forecasting model, the power supply load distribution of each power grid node is determined; the load forecasting model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0039] The load control command is determined based on the power supply load distribution, and the load control command is sent to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command;

[0040] During the execution of load control at the target load control terminal, the load feedback status corresponding to the load control command is obtained, and the load control execution result is determined based on the load feedback status.

[0041] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0042] Based on pre-acquired power grid topology data and a pre-built load forecasting model, the power supply load distribution of each power grid node is determined; the load forecasting model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0043] The load control command is determined based on the power supply load distribution, and the load control command is sent to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command;

[0044] During the execution of load control at the target load control terminal, the load feedback status corresponding to the load control command is obtained, and the load control execution result is determined based on the load feedback status.

[0045] The aforementioned user-side load control execution method, device, computer equipment, computer-readable storage medium, and computer program product based on power grid topology determine the power supply load distribution of each power grid node based on pre-acquired power grid topology data and a pre-built load forecasting model. The load forecasting model is constructed based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times. Load control commands are determined according to the power supply load distribution and sent to the target load control terminal to trigger the target load control terminal to perform load control according to the load control commands. During the execution of load control at the target load control terminal, the load feedback status corresponding to the load control commands is obtained, and the load control execution result is determined based on the load feedback status. In this application, by combining power grid topology data with a load forecasting model built based on power flow constraints, the power supply load distribution of each power grid node can be accurately predicted, thereby generating load control commands based on the actual carrying capacity of the physical grid. Furthermore, after the commands are issued, the execution result is determined by obtaining the feedback status of the target load control terminal. This mechanism not only improves the accuracy of load control and avoids over-regulation or under-regulation caused by blind power rationing, but also effectively ensures the implementation of load control commands through the feedback confirmation mechanism, significantly improving the stable operation capability of the power grid under extreme conditions. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart illustrating a user-side load control execution method based on power grid power flow topology in one embodiment.

[0048] Figure 2 This is a flowchart illustrating the user-side load control execution method based on power grid power flow topology in another embodiment;

[0049] Figure 3 This is a structural block diagram of a user-side load control execution device based on a power grid power flow topology in one embodiment;

[0050] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0052] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0053] The user-side load control execution method based on power grid topology provided in this application is applied to a load-based control system. In this system, a computing device establishes a communication connection with at least one target load control terminal through a communication network. In an optional embodiment, the computing device can be a terminal or a server. Exemplarily, the computing device can be deployed in a power grid dispatch center, load management platform, or cloud server to achieve global or regional power grid flow analysis and prediction. The target load control terminal can be distributed at different power nodes on the user side, such as industrial park gateways, commercial building energy efficiency management terminals, or residential smart distribution devices, to receive adjustment commands and execute specific load reduction or shifting operations. The computing device can pre-acquire power grid topology data from a data acquisition and monitoring system or a geographic information system, and after determining the load control scheme, send commands to the designated load control terminal via the communication network, while simultaneously collecting the load feedback status of each node in real time.

[0054] At the user-side execution level, target load control terminals can encompass various product forms, such as smart meters, load control terminals, building automation system controllers, and even charging pile control modules with two-way interactive capabilities. By integrating load control logic or communication interfaces into these terminal devices, the control commands issued by computing devices can be precisely applied to specific power circuits or electrical equipment, thereby achieving refined load management based on power flow topology.

[0055] In one embodiment, such as Figure 1 As shown, a user-side load control execution method based on power grid power flow topology is provided. This embodiment illustrates the method applied to a terminal, but it is understood that the method can also be applied to a server, or to a system including both a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0056] Step S101: Based on the pre-acquired power grid topology data and the pre-built load forecasting model, determine the power supply load distribution of each power grid node; the load forecasting model is built based on the preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0057] Among them, power grid topology data can be a set of digital mappings describing the physical connection relationships and electrical logic of the power system. It is used to reflect the spatial location and connection status between substations, distribution transformers, transmission lines and user-side load nodes. It can be dynamically constructed based on preset parameters of geographic information systems or data acquisition and monitoring systems.

[0058] Load forecasting models can be processing architectures built on computational logic or heuristic algorithms. They are used to combine historical power load patterns with current operating environment characteristics to quantitatively extrapolate the power demand of a specific region in the future. They can be logically optimized based on preset power flow constraints to ensure that the forecast results are logically compatible with physical criteria such as power balance, line capacity limitations, and voltage deviation of the power system.

[0059] The power supply load distribution can be an indicator reflecting the load intensity of each spatial node in the power grid in the time dimension. It is used to guide the load management system to identify potential overload risk areas or weak nodes. It can be obtained by processing the topology data based on the above load prediction model.

[0060] Specifically, the terminal first establishes data interaction with the power supply side monitoring module through a communication link, extracting pre-stored or real-time generated power grid topology data. This data can fully characterize the physical topology and line connection attributes of each level of power grid nodes within the current distribution network. Subsequently, the terminal calls a pre-built load forecasting model, which has power flow constraints pre-embedded as logical boundaries during the design phase, such as considering the rated current carrying capacity of lines or the fluctuation range of node voltage. The terminal uses acquired historical load trend data, real-time environmental parameters (such as weather and temperature), and node time-period characteristics as input signals to drive the load forecasting model to perform calculations. During the calculation process, the model combines power flow constraints to perform physical consistency checks on the predicted demand of each node, thereby generating a power supply load distribution that reflects the actual power demand of each power grid node at future times. This distribution result not only includes the load values ​​of each node but also covers the load flow trend in the spatial topology, so that the terminal can accurately locate overloaded nodes that may generate power shortages in the future from a global perspective.

[0061] Optionally, the terminal can also introduce a real-time feedback correction mechanism for the power grid operating status when performing the above determination process. For example, the terminal can dynamically adjust the input parameters of the load prediction model based on the currently monitored real-time load deviation of the lines, so that the predicted power supply load distribution can better match the transient changes of the power grid. In addition, when dealing with complex network or section scenarios, the terminal can divide the power grid topology data into multiple related topology subsets and apply corresponding power flow constraint parameters to each topology subset. This improves the accuracy and timeliness of power supply load distribution generation through a refined parallel computing process, ensuring that the final generated load distribution result can support the subsequent accurate selection and command issuance to the control terminal of specific target loads.

[0062] Step S102: Determine the load control command based on the power supply load distribution, and send the load control command to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command.

[0063] Load control commands can be data messages containing key parameters such as adjustment period, target load capacity, action type, and execution sequence, used to instruct power-side equipment to perform specific power consumption reduction, shifting, or interruption operations.

[0064] The target load control terminal can be a terminal device deployed at the power consumption site and equipped with communication interaction and load regulation capabilities, such as a smart meter, load management terminal, or a specific industrial control gateway. It is used to receive and respond to regulation signals from a remote location. It can be selected from multiple associated power nodes based on the node's spatial location, load characteristics, and preset regulation response priorities.

[0065] Specifically, after acquiring the power load distribution of each power grid node, the terminal compares it in real time with preset power grid safe operation thresholds. If the terminal identifies that the predicted load demand of a specific power grid node shows signs of overload or imbalance, it generates a corresponding load control command based on the load gap of that node and a preset control scheme library. Subsequently, the terminal sends the load control command to the target load control terminal associated with that node via a network communication interface. After receiving the command and completing its validity verification, the target load control terminal parses the adjustment parameters and drives its local control loop or issues commands to the electrical equipment connected to the terminal, thereby guiding the user-side load to be adjusted in an orderly manner according to the time period and intensity required by the command, achieving immediate relief of power grid pressure.

[0066] Optionally, the terminal can introduce a dynamic screening mechanism based on grid topology correlation when determining the target load control terminal. For example, the terminal can first identify the power supply area affected by overloaded nodes based on grid topology data and identify all candidate load control terminals with regulation capabilities within that area. Subsequently, the terminal invokes a preset regulation priority strategy, which can comprehensively consider the real-time load baseline, historical response success rate, and current willingness level of the candidate terminals to participate in regulation, thereby accurately selecting the target load control terminal that can meet the regulation gap from the candidate list. In addition, when generating load control commands, the terminal can also execute differentiated encapsulation logic for the commands. For example, it can generate smaller adjustment parameters for critical guaranteed load nodes and larger reduction parameters for industrial load nodes with interruptible attributes. Through this refined command distribution method, it can ensure that the load control action can meet the grid security requirements while also taking into account the stability of social electricity consumption.

[0067] Step S103: Perform load control execution at the target load control terminal, obtain the load feedback status corresponding to the load control command, and determine the load control execution result based on the load feedback status.

[0068] Among them, the load feedback status can be a real-time data set reflecting the actual operating conditions and changes in electrical parameters of the target load control terminal after receiving the command, which is used to characterize the specific implementation of control actions such as load reduction or shifting.

[0069] The results of load control execution can be a quantitative evaluation and status indicator of the quality of a single load regulation task or an abnormal situation, which can be used to provide the power grid load management system with a basis for judging the effectiveness of the regulation strategy or a trigger condition for subsequent abnormal handling.

[0070] Specifically, after the terminal issues a load control command to the target load control terminal, it immediately triggers the load execution tracking and monitoring logic for that control node. Throughout the entire execution process and subsequent maintenance of power load control at the target load control terminal according to the command, the terminal continuously acquires the load feedback status corresponding to the target load control terminal via the communication link. This status data covers the real-time power curve status of the electrical equipment, the switching status, and the connectivity quality of the communication link. After parsing and extracting this real-time feedback information, the terminal dynamically cross-validates it with the preset target regulation capacity and action sequence in the original load control command. By calculating whether the actual load voltage drop meets expectations and whether there is a serious delay in the response action, the terminal comprehensively assesses the regulation efficiency of the current node and determines the load control execution result of this regulation operation accordingly. For example, it can generate specific business execution records such as "response met," "partial response," or "execution abnormality."

[0071] Optionally, when determining the load control execution result, the terminal can introduce a multi-stage state monitoring and fault-tolerant verification mechanism based on time slices. For example, the terminal can extract the load feedback status within the corresponding time window during the transient phase immediately after the load control action is triggered, the steady-state phase during which the control status is maintained, and the load recovery phase after the control is released, and set differentiated judgment rules for different phases. Considering the data packet loss or network jitter that may exist in the actual power grid environment, the terminal can also preset a fault-tolerant time window for nodes that fail to report feedback status in a timely manner; within the window period, the terminal can proactively initiate multiple state call operations to the target load control terminal to ensure that the collected underlying data has sufficient integrity and authenticity. Furthermore, based on the feedback data continuously acquired in multiple stages, combined with the correlation between command transmission and operation timing, the terminal deeply reconstructs the execution continuity trajectory of the target load control terminal, thereby generating a more refined and interference-resistant load control execution result, ensuring that the power grid side can grasp the actual response dynamics of the user-side equipment in a timely and accurate manner.

[0072] In this embodiment, by combining power grid topology data with a load forecasting model built based on power flow constraints, the power supply load distribution of each power grid node can be accurately predicted, thereby generating load control commands based on the actual carrying capacity of the physical grid. Furthermore, after the command is issued, the execution result is determined by obtaining the feedback status of the target load control terminal. This mechanism not only improves the accuracy of load control and avoids over-regulation or under-regulation caused by blind power rationing, but also effectively ensures the execution of load control commands through the feedback confirmation mechanism, significantly improving the stable operation capability of the power grid under extreme conditions.

[0073] In one embodiment, determining load control commands based on the power supply load distribution includes:

[0074] If there are overload nodes in the power supply load distribution where the load demand exceeds the preset safety threshold, then the candidate load control terminal corresponding to the overload node is determined based on the power grid topology data.

[0075] The target load control terminal is selected from the candidate load control terminals according to the preset control priority strategy, and a load control command is generated for the target load control terminal.

[0076] Among them, the preset safety threshold can be a reference measure that reflects the physical carrying capacity limit or stable operation boundary of the power grid node. It is used as a trigger benchmark for judging whether there is an overload risk in the power grid topology node. It can be pre-configured and dynamically updated based on the line rated capacity, transformer design parameters or historical safe operation range.

[0077] An overload node can be a specific electrical spatial unit in the power supply load distribution where the predicted load demand exceeds the above benchmark, used to indicate a weak link in the power grid that requires load intervention.

[0078] Candidate load control terminals can be a set of terminal devices that have a direct or indirect relationship with overload nodes in terms of physical topology or power supply logic and have load regulation capabilities. They are used to provide a preliminary pool of available control resources, which can be determined based on graph theory search or logical tracing operations on the power grid topology data.

[0079] The control priority strategy can be a multi-dimensional evaluation rule used to determine the load response order among multiple alternative execution entities. It guides the terminal to select the optimal control object from the available control resources. It can be constructed by combining characteristic parameters such as the user's historical response reputation, the interruptibility level agreed in the contract, and the real-time load baseline.

[0080] Specifically, after generating the power supply load distribution, the terminal compares and analyzes the predicted load demand of each grid node with the preset safety threshold recorded internally by the system. If the terminal finds that the load demand of some grid nodes exceeds the safety benchmark range during the comparison process, it marks these nodes with the risk of exceeding the limit as overload nodes. Subsequently, using the overload node as the starting anchor point, the terminal calls the grid topology data to perform power supply relationship mapping, identifies the downstream distribution network area powered by the overload node, and determines the control equipment in the area that is online and has effective regulation margin as candidate load control terminals. Next, the terminal obtains the operation files of these candidate load control terminals and introduces a preset regulation priority strategy to comprehensively score or rank the candidate list. Based on the ranking results, the terminal selects the target load control terminal that best meets the current regulation gap and has a high priority from among many candidates, and then generates targeted load control instructions for the target load control terminal in combination with the actual overflow capacity of the overload node.

[0081] In this embodiment, the above steps not only improve the accuracy of intervention for local overload risks and avoid ineffective or excessive regulation, but also effectively prevent misoperation of high-priority users, further enhancing the intelligent resource coordination capability of the load control system in dealing with complex power grid fluctuations.

[0082] In one embodiment, the target load control terminal is located at a first grid node, and the first grid node is isolated from the second grid node that issues the load control command;

[0083] The load control command is determined based on the power supply load distribution, and the load control command is sent to the target load control terminal, including:

[0084] Based on the power supply load distribution, a load control command corresponding to the second power grid node is generated, and the load control command is encrypted and encapsulated to obtain the encrypted load control command.

[0085] Obtain the isolated transmission path from the second power grid node to the first power grid node;

[0086] The encrypted load control command is sent to the target load control terminal of the first power grid node through an isolated transmission path.

[0087] Among them, the isolated transmission path can be a logical channel or physical link that crosses power grid areas of different security levels (such as security zone III to security zone I), and is used to realize cross-regional interaction of key control data while ensuring network boundary security. It can be constructed based on the vertical encryption authentication device of the power dispatching system or a dedicated isolation gateway facility.

[0088] Encryption encapsulation is the process of encrypting and formatting the original message of a load control command using a specific cryptographic algorithm (such as a symmetric or asymmetric encryption algorithm) to prevent the command from being maliciously tampered with or illegally intercepted during transmission.

[0089] The first and second power grid nodes can be power nodes located in different cybersecurity zones or physical geographical locations, used to physically isolate the risks between the sending side and the execution side.

[0090] Specifically, after determining the control scheme for the target load control terminal at the first power grid node, the terminal identifies a security isolation requirement between the second power grid node issuing the command and the target node. At this point, the terminal calls the associated cryptographic machine hardware interface to perform encryption and encapsulation operations on the generated load control command, transforming the original control logic into a ciphertext data packet containing a digital signature and encrypted payload. Subsequently, the terminal queries a preset routing table or security topology library to obtain the isolated transmission path from the second power grid node to the first power grid node. The terminal delivers the encrypted load control command to this path, enabling it to be sent to the target load control terminal located at the first power grid node via a preset security isolation gateway or unidirectional transmission device, where the target load control terminal performs decryption and validity verification locally.

[0091] Optionally, the terminal can perceive the communication quality of redundant links between different security zones in real time, prioritizing the isolation channel with lower latency and packet loss rate as the main transmission path to ensure the timeliness of control commands. Furthermore, during encryption encapsulation, the terminal can introduce a message integrity checksum based on a dynamic token. By embedding a time-sensitive check field in the encrypted packet header, the terminal enables the target load control terminal to determine whether the received command is valid and has not been subjected to a replay attack. In this way, the terminal can achieve secure command penetration in complex network partitioning environments, ensuring that load control actions maintain high command credibility and execution accuracy even after crossing isolation boundaries.

[0092] In this embodiment, on the one hand, the use of isolated transmission paths can meet the security protection criteria of power monitoring systems, and achieve secure data transmission without compromising the physical isolation characteristics of the network; on the other hand, the encryption and encapsulation mechanism can effectively block illegal injection or man-in-the-middle attacks against load control commands, significantly reducing the risk of large-scale malfunctions on the user side due to command tampering, thereby improving the system's defense capabilities while ensuring the continuity and reliability of cross-regional load control services.

[0093] In one embodiment, the load feedback status includes line operating data and the operating status of a first device; determining the load control execution result based on the load feedback status includes:

[0094] Based on the line operation data, determine the load response characteristics; if the target equipment operating status indicated by the load response characteristics does not match the first equipment operating status, then determine that the load control execution result is an abnormal status.

[0095] Among them, the line operation data can be a set of numbers that characterizes the dynamic changes of electrical parameters of the power supply branch where the target load control terminal is located, and is used to reflect the actual physical response fluctuations on the grid side after the load control action is issued.

[0096] The first equipment operating status can be the current operating status identifier of the electrical equipment actively reported by the target load control terminal after receiving the control command. It is used to indicate the start / stop status or operating level of the equipment recorded at the software logic level.

[0097] Load response characteristics can be quantitative indicators extracted from massive line operation data to characterize the load change pattern, and are used to objectively describe the actual physical effects of load reduction or shift on the electricity demand side.

[0098] The target equipment's operating status can be inferred from the changes in objective physical and electrical parameters, representing the theoretical operating condition of the equipment. This can be used as an independent reference to verify the actual reported status of the equipment.

[0099] An abnormal status can be a business judgment conclusion where there is a significant conflict between the actual response at the physical level and the status reported at the software logic level. This is used to trigger subsequent alarm or review processes in the load control system.

[0100] Specifically, when acquiring load feedback status, the terminal simultaneously parses two parallel data streams: one is line operation data reflecting objective physical and electrical changes, and the other is the first equipment operation status actively reported by the target load control terminal. Subsequently, the terminal performs in-depth analysis of the line operation data, extracting load response characteristics such as power surge slope and steady-state load voltage drop, and based on these characteristics, deduces the target equipment operation status that the electrical equipment under that branch should be in at the physical level. Next, the terminal cross-compares the deduced target equipment operation status with the first equipment operation status actively reported by the equipment. If the terminal finds a mismatch—for example, the logical status reported by the equipment is "control loop disconnected," but the target status deduced from the line operation data shows "significant operating current still exists"—the terminal determines that the control action of the target load control terminal has not been effectively implemented, thus determining the current load control execution result as an abnormal state and recording the corresponding abnormal log.

[0101] Optionally, the terminal can analyze the transient waveforms of the line sampled at high frequencies to extract independent electrical characteristics belonging to specific target control equipment. This allows for accurate identification of the actual start-up and shutdown actions of the equipment in complex power circuits, avoiding data interference caused by the state switching of other non-controlling equipment. Furthermore, considering the inherent millisecond or second-level time difference between physical switch actions and data communication reporting, the terminal can introduce a dynamic verification time window. Only when the two states still deviate significantly beyond this time window, or when the deviation of the load response characteristics exceeds a preset measurement error tolerance, will the terminal ultimately confirm it as an abnormal state. This cross-verification mechanism, combining fine extraction of electrical characteristics with time-delay tolerance processing, can filter out false alarm signals to the greatest extent possible.

[0102] In this embodiment, the above steps can effectively identify potential equipment malfunctions caused by communication module failures, control loop jams, or user-side bypasses, preventing the dispatch center from being misled by incorrect equipment logic states and providing solid data support for safer power grid dispatch operations in the future.

[0103] In one embodiment, after determining the load control execution result based on the load feedback status, the method further includes:

[0104] When the load control execution result is determined to be an abnormal state, a status call command is sent to the target load control terminal; the second device operating status returned by the target load control terminal based on the status call command is obtained; if the target device operating status does not match the second device operating status, an alarm prompt message is generated and sent to the target load control terminal.

[0105] The status recall command can be a data packet containing a specific device address and a status query identifier, which is used to trigger the lower-level terminal to reread and upload its latest underlying hardware status.

[0106] The second equipment operating status can be a real-time status confirmation identifier returned by the target load control terminal in response to an active query, which is used as the final verification basis for determining whether the equipment has actually failed to operate or is stuck.

[0107] Alarm messages can be warning data packets containing the location of abnormal nodes, the type of abnormality, and the time of occurrence, used to notify on-site maintenance personnel or the upper-level scheduling system of the risk of control failure that is difficult to recover from.

[0108] Specifically, after initial cross-validation and a preliminary determination that the current load control execution result is abnormal, the terminal initiates a secondary verification mechanism to avoid misjudgments caused by network jitter or brief pauses in the device's internal state machine. The terminal actively sends a status call command to the target load control terminal via the communication link, requesting immediate feedback on the latest underlying operating conditions. Upon receiving this call command, the target load control terminal bypasses the regular periodic reporting queue, directly reads the latest local hardware execution status, and returns it as the second device operating status to the remote end. Subsequently, the terminal obtains this second device operating status and compares it again with the target device operating status deduced from objective line data. If the terminal finds that the two still do not match, it determines that the abnormality is not caused by occasional communication delays but by a substantial physical execution-level fault. The terminal then generates a corresponding alarm message and sends it to the target load control terminal's local interface or relevant operation and maintenance management platform to trigger subsequent on-site troubleshooting procedures.

[0109] In this embodiment, the alarm information with diagnostic intent generated after the above steps and secondary verification can help the power grid management to more accurately distinguish between communication layer failures and underlying execution hardware damage, thereby making subsequent dispatching of maintenance orders and equipment troubleshooting work more targeted and further reducing the overall operation and maintenance costs of the power grid.

[0110] In one embodiment, after determining the load control execution result based on the load feedback status, the method further includes:

[0111] The load response accuracy is determined based on the degree of difference between the line operation data in the load feedback state and the target operation data in the load control command; the load response timeliness is generated based on the time interval between the time of issuing the load control command and the time of the change in the state of the target load control terminal; the control reliability of the target load control terminal is determined based on the load control execution result, the load response accuracy, and the load response timeliness, and the control priority of the target load control terminal in the next load control is adjusted according to the control reliability.

[0112] The target operating data can be the expected electrical characteristic value or baseline state (such as the expected load voltage drop target value or the specified power operating limit) pre-calibrated in the load control command, which is used as a standard anchor point for evaluating the actual control effect.

[0113] Load response accuracy can be a quantitative score that reflects the degree of matching between the actual power reduction on the power consumption side and the expected power reduction on the dispatching side. It is used to objectively characterize the accuracy of the underlying equipment in executing control commands. It can be calculated based on the residual or deviation ratio between the actual collected line operation data and the aforementioned target operation data.

[0114] Load response timeliness can be a time index that characterizes the hysteresis characteristics between the target load control terminal receiving remote instructions and the actual completion of physical actions.

[0115] Regulation reliability can be a global reputation index that comprehensively evaluates the overall performance of a specific load node in participating in the power grid demand-side response. It is used to provide a quantitative basis for the dynamic optimization of the system's subsequent regulation resource pool. It can be obtained by weighted fusion calculation based on the qualitative conclusions of the execution results of a single control and the quantitative data of accuracy and timeliness.

[0116] Specifically, after obtaining the load control execution results, the terminal further extracts the actual line operation data from the load feedback status to conduct a comprehensive post-evaluation of the control process. The terminal compares this actual line operation data with the target operation data carried in the original control command, calculating the difference in power reduction or current drop to determine the load response accuracy of the target load control terminal in this instance. Simultaneously, the terminal extracts the initial time of the load control command issued, recorded in the system, and compares it with the time of the target load control terminal status change reported at the underlying physical layer, calculating the time interval between the two to generate load response timeliness. Next, the terminal comprehensively calculates the aforementioned qualitative business status (i.e., load control execution results) and quantitative indicators (load response accuracy and load response timeliness) to determine the control reliability of the target load control terminal. Finally, based on the control reliability score, the terminal dynamically adjusts the control priority of the target load control terminal in the next load control task within the system's control file.

[0117] In this embodiment, by dynamically adjusting the priority based on reliability, the system can prioritize scheduling high-quality resources that respond the fastest and execute the most accurately when dealing with the risk of future emergency power grid overload. This significantly shortens the response time of the power grid from overload to a safe state and greatly reduces the risk of power grid control failure caused by the "negative response" of user-side equipment.

[0118] To enable those skilled in the art to better understand the above steps, the following example illustrates an embodiment of this application. However, it should be understood that the embodiment of this application is not limited thereto, and the specific method steps include:

[0119] Step S201: Multi-source data fusion and power load distribution map construction.

[0120] Specifically, the terminal first initiates a multi-source data aggregation process, acquiring power grid topology data (covering connections between substations, lines, switches, etc.), historical load data for various regions, meteorological data (such as temperature, humidity, and wind speed), and data on special events that may affect the load (such as holidays and large-scale events) through communication interfaces. Subsequently, the terminal uses the integrated data to train and optimize the parameters of a pre-built load forecasting model. During forecasting, the terminal inputs topology data into the model to analyze the power flow relationships and load contributions between different regions. The terminal forcibly incorporates power flow constraints into the forecasting logic, simulating Kirchhoff's current law and voltage distribution. Finally, the terminal performs load projections according to hourly, daily, and weekly time series to obtain the power supply load distribution reflecting the future load demand of each power grid node, and generates a load forecast curve accordingly, providing load trend support for power grid dispatchers under different regions and grid topologies.

[0121] For example, while constructing the distribution map, the terminal can also simultaneously acquire signal light information from the dispatching system. If the real-time load is detected to be close to a preset threshold, the terminal will automatically trigger an early warning record for the load control loop.

[0122] Step S202: Overload risk identification and dynamic optimization of target control.

[0123] Specifically, the terminal compares the generated power load distribution with preset safety thresholds point by point. If the predicted demand of a certain grid node exceeds the threshold, the terminal marks it as an overload node. Subsequently, using this overload node as the root node, the terminal searches for downstream power supply paths in the grid topology, identifying all online load control devices in that area and forming a candidate load control terminal resource pool. The terminal obtains the metering automation system files, current grid supply indicators, network operation status, and load importance of each user in the resource pool, and calls the control priority strategy to comprehensively score the candidate terminals. Based on the scoring results, the terminal dynamically selects specific devices that can meet the control gap and have high priority as target load control terminals.

[0124] For example, in response to temporary load gaps, the terminal can also filter mobile load users based on conditions such as region, plan, and execution time. After confirming the execution conditions, the terminal counts the number of controllable terminals and load capacity, and includes them in the target set for this regulation.

[0125] Step S203: Secure instruction encapsulation and cross-regional isolated transmission.

[0126] Specifically, the terminal generates corresponding load control commands based on the targets determined in the above steps. To ensure the legitimacy of the control commands, the terminal performs file information verification (involving consistency between the user, terminal, and switch) and parameter legitimacy verification. Subsequently, the terminal calls an external cryptographic machine to encrypt and encapsulate the verified commands. When the terminal recognizes that a command needs to be sent from the management area (Security Zone III) to the monitoring area (Security Zone I), it automatically obtains a preset isolated transmission path (such as a physical isolation gateway channel) and directs the encrypted load control command to the target load control terminal at the first power grid node.

[0127] For example, before sending an instruction, the terminal can trigger an execution notification sub-process to send an execution reminder with customized content to a preset target via SMS. Simultaneously, the terminal records a full-link instruction issuance log, including information on the sending personnel, time, and organizational dimension, ensuring that all operation nodes are subject to subsequent auditing and traceability.

[0128] Step S204: Load execution full-link tracking and feedback status acquisition.

[0129] Specifically, the terminal immediately initiates full-link tracking of load control execution upon receiving the command. The terminal continuously acquires load feedback status from the target load control terminal via the communication link, focusing on analyzing line operation data and the operating status of the primary equipment. The terminal utilizes the changing trends of high-frequency voltage and current curves to monitor the load curve status during the load control execution phase in real time. Furthermore, the terminal summarizes load control scheme execution information, scheme load trend information, user execution information, and load trends at gap sections in real time, forming a load control overview interface.

[0130] For example, the terminal can simultaneously maintain a load control record, uniformly managing early warning records, user notification records, user load control records, and account manager management records. This information will serve as the primary basis for the terminal to assess the control effectiveness in real time.

[0131] Step S205: Physical logic state comparison and anomaly closed-loop verification.

[0132] Specifically, the terminal performs waveform analysis on the line operation data obtained in step S204, extracts load response characteristics, and deduces the target equipment operating state that the device should be in physically (e.g., the disappearance of current means physical disconnection). The terminal matches the deduced state with the first equipment operating state actively reported by the target load control terminal. If the two are inconsistent (e.g., the device reports that it is disconnected, but there is still a large current in the line), the terminal determines that the state is abnormal.

[0133] Upon detecting an anomaly, the terminal automatically activates the anomaly monitoring mechanism, sending a status query command to the target load control terminal. The terminal retrieves the second device operating status returned by the query and performs a second verification with the target device's operating status. If a mismatch still exists, the terminal determines that there is a device malfunction or an abnormal command timing, and immediately generates and records an alarm message containing anomaly location information, reminding dispatchers to address issues such as data distortion or abnormal command execution.

[0134] Step S206: Comprehensive effect evaluation and update of control strategy.

[0135] Specifically, after the control plan is completed, the terminal automatically or manually issues control release commands in batches according to the plan requirements, and continues to track the load recovery process. The terminal performs an overall evaluation of this load control execution, determining the load response accuracy by calculating the difference between the actual line load curve and the target operating data, and generating the load response timeliness by combining the time interval between command issuance and status change. Based on the execution results, accuracy, and timeliness, the terminal determines the control reliability of the target load control terminal. Based on this reliability score, the terminal adjusts the next control priority of the target load control terminal in the system priority strategy library in real time.

[0136] For example, the terminal summarizes the monthly execution status in calendar form and generates user load control cards that include user topology information, load baseline information, and historical control records. At the same time, it compiles annual participation reports by user (including load control times, control capacity, etc.), providing comprehensive data backtracking and perspective support for subsequent power grid dispatching decision optimization.

[0137] In this embodiment, by achieving accurate load forecasting and comprehensive load monitoring, the trend of power grid load changes can be grasped in advance, providing an accurate data foundation for load control and improving the pertinence and effectiveness of load control. By implementing full-process management and monitoring of load control schemes from issuance to execution and termination, the accurate execution and real-time tracking of control commands are ensured. Simultaneously, functions such as data verification and anomaly monitoring improve the reliability and stability of system operation. The load control effect evaluation function allows for a scientific and comprehensive assessment of the execution effect of load control schemes, providing a basis for subsequent scheme optimization. Unified management of various control information facilitates user query and traceability, contributing to improved management efficiency and the scientific nature of decision-making. The intuitive calendar display of historical load control information facilitates user review and analysis, providing convenience for power grid operation management.

[0138] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0139] Based on the same inventive concept, this application also provides a user-side load control execution device based on power grid topology for implementing the aforementioned user-side load control execution method based on power grid topology. The solution provided by this device is similar to the implementation described in the above method. Therefore, the specific limitations in one or more user-side load control execution device embodiments based on power grid topology provided below can be found in the limitations of the user-side load control execution method based on power grid topology described above, and will not be repeated here.

[0140] In one exemplary embodiment, such as Figure 3 As shown, a user-side load control execution device based on power grid topology is provided, including: a power supply side monitoring module 310, a load control execution monitoring module 320, and a load control recording module 330, wherein:

[0141] The power supply side monitoring module 310 is used to determine the power supply load distribution of each power grid node based on pre-acquired power grid topology data and a pre-built load prediction model; the load prediction model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times.

[0142] The load control execution monitoring module 320 is used to determine the load control command based on the power supply load distribution and send the load control command to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command;

[0143] The load control recording module 330 is used to perform the load control execution process at the target load control terminal, obtain the load feedback status corresponding to the load control command, and determine the load control execution result based on the load feedback status.

[0144] In one embodiment, the negative control execution monitoring module 320 is further configured to:

[0145] If there is an overload node in the power supply load distribution where the load demand exceeds a preset safety threshold, then based on the power grid topology data, the candidate load control terminal corresponding to the overload node is determined.

[0146] According to the preset control priority strategy, the target load control terminal is selected from the candidate load control terminals, and the load control command is generated for the target load control terminal.

[0147] In one embodiment, the target load control terminal is located at a first grid node, and the first grid node is isolated from the second grid node that issues the load control command; the load control execution monitoring module 320 is further configured to:

[0148] Based on the power supply load distribution, a load control command corresponding to the second power grid node is generated, and the load control command is encrypted and encapsulated to obtain an encrypted load control command.

[0149] Obtain the isolated transmission path from the second power grid node to the first power grid node;

[0150] The encrypted load control command is sent to the target load control terminal of the first power grid node through the isolated transmission path.

[0151] In one embodiment, the load feedback status includes line operation data and the operating status of the first equipment; the load control recording module 330 is further used for:

[0152] Based on the line operation data, determine the load response characteristics;

[0153] If the target device operating state indicated by the load response characteristics does not match the first device operating state, then the load control execution result is determined to be an abnormal state.

[0154] In one embodiment, the negative control recording module 330 is further configured to:

[0155] When it is determined that the load control execution result is an abnormal state, a status call command is sent to the target load control terminal;

[0156] Obtain the second device operating status returned by the target load control terminal based on the status call command;

[0157] If the operating status of the target device does not match the operating status of the second device, an alarm message is generated and sent to the target load control terminal.

[0158] In one embodiment, the negative control recording module 330 is further configured to:

[0159] The load response accuracy is determined based on the degree of difference between the line operation data in the load feedback state and the target operation data in the load control command.

[0160] Based on the time interval between the issuance of the load control command and the change of the target load control terminal status, a load response timeliness is generated;

[0161] Based on the load control execution results, the load response accuracy, and the load response timeliness, the regulation reliability of the target load control terminal is determined, and the regulation priority of the target load control terminal in the next load control is adjusted according to the regulation reliability.

[0162] Each module in the aforementioned user-side load control execution device based on power grid topology can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0163] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a user-side load control execution method based on power grid topology. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0164] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0165] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0166] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0167] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0168] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0169] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0170] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0171] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A user-side load control execution method based on power grid power flow topology, characterized in that, The method includes: Based on pre-acquired power grid topology data and a pre-built load forecasting model, the power supply load distribution of each power grid node is determined; the load forecasting model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times. The load control command is determined based on the power supply load distribution, and the load control command is sent to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command; During the execution of load control at the target load control terminal, the load feedback status corresponding to the load control command is obtained, and the load control execution result is determined based on the load feedback status.

2. The method according to claim 1, characterized in that, The step of determining the load control command based on the power supply load distribution includes: If there is an overload node in the power supply load distribution where the load demand exceeds a preset safety threshold, then based on the power grid topology data, the candidate load control terminal corresponding to the overload node is determined. According to the preset control priority strategy, the target load control terminal is selected from the candidate load control terminals, and the load control command is generated for the target load control terminal.

3. The method according to claim 1, characterized in that, The target load control terminal is located at the first power grid node, and the first power grid node is isolated from the second power grid node that issues the load control command; The step of determining the load control command based on the power supply load distribution and sending the load control command to the target load control terminal includes: Based on the power supply load distribution, a load control command corresponding to the second power grid node is generated, and the load control command is encrypted and encapsulated to obtain an encrypted load control command. Obtain the isolated transmission path from the second power grid node to the first power grid node; The encrypted load control command is sent to the target load control terminal of the first power grid node through the isolated transmission path.

4. The method according to claim 1, characterized in that, The load feedback status includes line operation data and the operation status of the first equipment; Determining the load control execution result based on the load feedback status includes: Based on the line operation data, determine the load response characteristics; If the target device operating state indicated by the load response characteristics does not match the first device operating state, then the load control execution result is determined to be an abnormal state.

5. The method according to claim 4, characterized in that, After determining the load control execution result based on the load feedback state, the method further includes: When it is determined that the load control execution result is an abnormal state, a status call command is sent to the target load control terminal; Obtain the second device operating status returned by the target load control terminal based on the status call command; If the operating status of the target device does not match the operating status of the second device, an alarm message is generated and sent to the target load control terminal.

6. The method according to any one of claims 1 to 5, characterized in that, After determining the load control execution result based on the load feedback state, the method further includes: The load response accuracy is determined based on the degree of difference between the line operation data in the load feedback state and the target operation data in the load control command. Based on the time interval between the issuance of the load control command and the change of the target load control terminal status, a load response timeliness is generated; Based on the load control execution results, the load response accuracy, and the load response timeliness, the regulation reliability of the target load control terminal is determined, and the regulation priority of the target load control terminal in the next load control is adjusted according to the regulation reliability.

7. A user-side load control execution device based on power grid power flow topology, characterized in that, The device includes: The power supply side monitoring module 310 is used to determine the power supply load distribution of each power grid node based on pre-acquired power grid topology data and a pre-built load prediction model; the load prediction model is built based on preset power grid flow constraints and is used to predict the load demand of the power grid node at future times. The load control execution monitoring module 320 is used to determine the load control command based on the power supply load distribution and send the load control command to the target load control terminal to trigger the target load control terminal to perform load control according to the load control command; The load control recording module 330 is used to perform the load control execution process at the target load control terminal, obtain the load feedback status corresponding to the load control command, and determine the load control execution result based on the load feedback status.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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