Intelligent load control terminal control method and related equipment

Abstract

The invention provides an intelligent load control terminal control method and related equipment, and relates to the technical field of power control. According to the technical scheme provided by the invention, the influence on other users can be reduced to the greatest extent while the power supply safety of important users is guaranteed, and the power supply safety and the power supply quality are effectively balanced. In addition, the method also realizes automation and intelligentization of load control, and improves the efficiency and reliability of power grid dispatching. Compared with the prior art, the scheme not only solves the problem of power supply risk, but also remarkably improves the overall power supply quality and efficiency, and provides powerful guarantee for stable operation of a power system.

Description

Technical Field

[0001] The present application relates to the field of power control technology, and in particular to an intelligent load control terminal control method and related equipment. Background Art

[0002] The stable operation of the power system is crucial to the national economy and social development. However, in the actual operation of the power grid, due to the imbalance of power supply and demand, equipment failure and other reasons, there are often risks that threaten the power supply security of important users. Once the power supply to important users is interrupted, it will cause serious economic losses and social impact.

[0003] At present, in order to deal with power supply risks and ensure the normal power supply of important users, power grid dispatching usually adopts the method of load shedding. However, most of the existing load control methods are relatively extensive and lack refined management, which often leads to large-scale power outages, affecting many non-important users and reducing the overall power supply quality and efficiency.

[0004] Therefore, how to ensure the power supply security of important users while minimizing the impact on other users and achieving precise load control is an issue that needs to be urgently addressed. Summary of the invention

[0005] The present application provides a smart load control terminal control method and related equipment, which realizes accurate load management through the smart load control terminal, and effectively solves the problem of extensive load control and lack of refined management in the prior art.

[0006] In a first aspect, the present application provides a method for controlling an intelligent load control terminal, which is applied to a monitoring and dispatching system. The method includes: Acquire first load data corresponding to important users and second load data corresponding to interruptible users collected by the intelligent load control terminal; When it is monitored that the important user has a power supply risk, determining a first load shedding amount and a first load shedding period required to eliminate the power supply risk according to the first load data; Determine a target user among the interruptible users and a target load shedding period corresponding to the target user according to the second load data, the first load shedding amount and the first load shedding period; A tripping instruction corresponding to the target user is generated, and the tripping instruction is sent to the target intelligent load control terminal on the target user side, so that the target intelligent load control terminal controls the load equipment of the target user to be in a tripping state within the target load shedding period.

[0007] In a second aspect, the present application provides a control system for an intelligent load control terminal, the system comprising: A data acquisition module, used to acquire first load data corresponding to important users collected by the intelligent load control terminal, and second load data corresponding to interruptible users; a risk monitoring module, configured to determine, when it is detected that the important user has a power supply risk, a first load shedding amount and a first load shedding period required to eliminate the power supply risk according to the first load data; A target user determination module is used to determine the target user among the interruptible users and the target load shedding period corresponding to the target user based on the second load data, the first load shedding amount and the first load shedding period; an execution module is used to generate a tripping instruction corresponding to the target user, and send the tripping instruction to the target intelligent load control terminal on the target user side, so that the target intelligent load control terminal controls the load equipment of the target user to be in a tripping state within the target load shedding period.

[0008] In a third aspect, the present application provides a computer storage medium, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing any one of the above methods.

[0009] In a fourth aspect, the present application provides an electronic device, comprising a processor, a memory and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs any one of the methods described above.

[0010] In summary, the beneficial effects brought about by the technical solution of this application include: Accurate load management is achieved through the intelligent load control terminal, which effectively solves the problem of extensive load control and lack of refined management in the existing technology. Specifically, the method first obtains the load data of important users and interruptible users, and monitors the power supply risks of important users in real time. When a risk is detected, the system will accurately calculate the load removal amount and time period required to eliminate the risk based on the load data of important users. Then, based on the load data of interruptible users, the system can intelligently select the most suitable target user for load removal and accurately determine the removal period. Finally, by sending a tripping command to the intelligent load control terminal of the target user, accurate load control of a specific user in a specific period of time is achieved.

[0011] This method significantly improves the accuracy and flexibility of load control and avoids the problem of large-scale power outages in traditional methods. It can minimize the impact on other users while ensuring the power supply security of important users, effectively balancing power supply security and power supply quality. In addition, this method also realizes the automation and intelligence of load control, and improves the efficiency and reliability of power grid dispatching. Compared with existing technologies, this solution not only solves the power supply risk problem, but also significantly improves the overall power supply quality and efficiency, providing a strong guarantee for the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a flow chart of a control method of an intelligent load control terminal according to an embodiment of the present application; Figure 2 It is a structural schematic diagram of an intelligent load control terminal control device according to an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0013] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0014] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0015] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a specific way.

[0016] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0017] See also Figure 1 , is a flow chart of a method for controlling a smart load control terminal provided by an embodiment of the present application. The method can be implemented by a computer program, can be implemented by a single-chip microcomputer, or can be run on a smart load control terminal control device based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application. The specific steps of the method for controlling a smart load control terminal are described in detail below.

[0018] S101: Acquire first load data corresponding to important users and second load data corresponding to interruptible users collected by an intelligent load control terminal.

[0019] Among them, important users refer to electricity users or individuals with special status or importance in the power supply system. In the embodiment of the present application, it can be understood as user groups that have high requirements for power supply stability and whose power outages may cause significant economic losses or social impacts. Such users generally include but are not limited to key infrastructure and key protection targets such as hospitals, transportation hubs, government agencies, important industrial enterprises, and data centers.

[0020] Interruptible users refer to electricity users or individuals in the power supply system who can accept short-term power outages or load reductions. In the embodiments of the present application, it can be understood as a group of users who have signed an interruptible load agreement with the power company and are willing to cooperate in load management when the power grid is under power supply pressure. Such users usually include but are not limited to some industrial enterprises, commercial users, non-critical public facilities, etc. They have a certain flexibility in electricity use and can adjust or interrupt some non-essential electricity loads in a short time.

[0021] The first load data refers to a series of data indicators related to the power consumption of important users. In the embodiment of the present application, it can be understood as a collection of power consumption information of important users collected by the intelligent load control terminal, mainly including daily historical load data and current load data.

[0022] The second load data refers to a series of data indicators related to the power consumption and characteristics of interruptible users. In the embodiment of the present application, it can be understood as a comprehensive power consumption information set of interruptible users collected by the intelligent load control terminal, mainly including key information such as historical power consumption data, tripping and closing equipment types, and interruption compensation costs. The second load data is mainly used in the present invention to provide the intelligent load control system with detailed power consumption characteristics and parameters of interruptible users to support the formulation and execution of load control decisions.

[0023] Specifically, the monitoring and dispatching system collects the first load data corresponding to important users and the second load data corresponding to interruptible users through the intelligent load control terminal. As an intelligent device installed on the user side, the intelligent load control terminal integrates data collection, communication and control functions, and mainly includes two core components: the intelligent energy meter and the special transformer collection terminal.

[0024] Among them, the smart energy meter is mainly used to collect the user's historical electricity consumption data and interruption compensation costs, while the dedicated transformer acquisition terminal is used to obtain the user's tripping and closing device type. This data collection method can comprehensively collect the user's electricity consumption and related parameters, providing accurate and detailed data support for subsequent risk monitoring and load control.

[0025] For important users, the first load data includes their daily historical load data and current load data, which will be used to draw load change curves, predict power consumption, and promptly identify power supply risks. Important users usually include key infrastructure such as hospitals, transportation hubs, and government agencies, which have high requirements for power supply stability and therefore require special attention.

[0026] For interruptible users, the second load data includes not only historical power consumption data, but also the type of tripping and closing equipment and the interruption compensation cost. This information will be used to calculate the user's unit removal cost and interruption priority score, providing a basis for the subsequent selection of target users. Interruptible users are important regulatory resources for power grid load management and can cooperate in load management when the power grid is under power supply pressure. Through this intelligent data collection method, the system can grasp the power consumption status and characteristics of various users in real time. In an optional implementation, the second load data corresponding to the interruptible user may be obtained in the following manner.

[0027] Obtain the historical electricity consumption data and interruption compensation cost of the interruptible user collected by the smart electric energy meter; obtain the type of tripping and closing equipment of the interruptible user obtained by the special transformer collection terminal.

[0028] Among them, the smart energy meter, as an important part of the smart load control terminal, can record and store the user's electricity consumption information in real time. Specifically, the monitoring and dispatching system obtains the historical electricity consumption data of the interruptible users regularly or in real time through the communication connection established with the smart energy meter, including but not limited to the daily, weekly and monthly electricity consumption, peak and valley distribution of electricity consumption, load curve and other information. These historical electricity consumption data can reflect the user's electricity consumption habits and characteristics, and provide an important basis for subsequent load forecasting and control decisions. At the same time, the smart energy meter also records the user's interruption compensation cost information, which is pre-set according to the interruptible load agreement signed between the user and the power company. The interruption compensation cost reflects the economic compensation required by the user when accepting the load interruption, and is an important indicator for measuring the economic efficiency of load shedding. By obtaining these two types of key data, the system can comprehensively evaluate the electricity consumption characteristics and load regulation potential of the interruptible users. The historical electricity consumption data helps the system analyze the user's electricity consumption pattern and predict the future electricity consumption trend, so as to select the most suitable load shedding period; while the interruption compensation cost directly affects the user's unit shedding cost calculation, and then affects the selection of target users.

[0029] As another core component of the intelligent load control terminal, the dedicated transformer acquisition terminal is specifically used to collect and transmit the user's technical parameter information. Specifically, the monitoring and dispatching system obtains the type information of the tripping and closing equipment that can interrupt the user through the communication connection established with the dedicated transformer acquisition terminal. These equipment types may include but are not limited to different types of load control devices such as relays, circuit breakers, and intelligent switches. The purpose of obtaining the type of tripping and closing equipment is to evaluate the technical feasibility and response speed of load shedding. Different types of tripping and closing devices have different operating characteristics, such as response time, reliability, accuracy, etc. These characteristics directly affect the execution effect of load shedding. For example, intelligent switches generally have faster response speeds and more precise control capabilities, while some traditional relays may require longer operation time.

[0030] By understanding the type of tripping and closing devices used by users, the system can more accurately assess the load shedding capability and response characteristics of each interruptible user. This information is critical for developing load control strategies because it allows the system to consider technical factors when selecting target users, ensuring that the selected users can effectively perform load shedding operations within the required time. In addition, tripping and closing device type information also helps the system optimize the order and timing of sending load shedding instructions to ensure accurate and coordinated load shedding.

[0031] S102: When it is monitored that the important user has a power supply risk, a first load shedding amount and a first load shedding period required to eliminate the power supply risk are determined according to the first load data.

[0032] The first load shedding amount refers to the total amount of power load that needs to be reduced to eliminate the power supply risk of important users. In the embodiment of the present application, it can be understood as the power load that needs to be shelved to reduce the power load of important users to a safe level calculated by analyzing the first load data of important users.

[0033] The first load shedding amount is mainly used to determine the actual load control scale that needs to be executed. Specifically, when the monitoring and dispatching system detects power supply risks by analyzing the first load data of important users, it will calculate the first load shedding amount required to eliminate the risk. The calculation of the first load shedding amount is usually based on the following factors: the current power load level of important users, the preset safety threshold, the predicted load change trend, and the current power supply capacity of the power grid.

[0034] The first load shedding period refers to a specific time interval for performing load shedding operations. In the embodiment of the present application, it can be understood as the time period that is most suitable for load adjustment to eliminate power supply risks, determined by analyzing the first load data of important users. The first load shedding period is mainly used to guide the specific execution time of load control. The system selects an optimal time period to implement load shedding by analyzing the power consumption characteristics and power supply risk conditions of important users to achieve the best control effect. The determination of this time period takes into account multiple factors, including but not limited to the peak power consumption period of important users, the predicted load change trend, the overall supply and demand balance of the power grid, etc.

[0035] When it is detected that there is a power supply risk for important users, the system needs to take prompt action to ensure the safety of the power grid and the continuous power supply of important users. The core of this step is to determine the first load shedding amount and the first load shedding period required to eliminate the power supply risk based on the first load data. Specifically, the system first analyzes the first load data of important users, including historical load data and current load data, to predict the load trend in the future. Then, the system compares the predicted load curve with the preset safety threshold to determine the load amount exceeding the safety threshold. This excess amount is the first load shedding amount that needs to be shelved. At the same time, the system will analyze the characteristics of the load curve, consider factors such as peak power consumption and power grid supply and demand balance, and determine the most suitable time period for load shedding, namely the first load shedding period. This period is usually selected when the load is relatively low or the power grid has a strong bearing capacity to minimize the impact of load shedding on the overall power grid operation. The purpose of determining the first load shedding amount and the first load shedding period is to provide accurate quantitative indicators and time references for subsequent load control decisions. The first load shedding amount directly determines the total amount of load that needs to be shelved from the interruptible users, while the first load shedding period guides the specific execution time of the load shedding operation. This precise calculation and timing selection based on data analysis can ensure that load shedding operations can effectively eliminate power supply risks while minimizing the impact on the power grid and users.

[0036] Based on the above embodiment, as an optional implementation, step S102 also includes steps S201-S204.

[0037] S201: Determine the first load change curve corresponding to the important user based on the daily historical load data in the first load data. The first load change curve refers to a load change trend graph that reflects the historical power consumption patterns and characteristics of important users. In an embodiment of the present application, it can be understood as a curve representing the change in power consumption over time drawn by analyzing the daily historical load data of important users. Through the first load change curve, the system can clearly identify the peak and trough periods of power consumption of important users, as well as the periodic change patterns. This helps to deeply understand the power consumption behavior and demand characteristics of users. burden The daily historical load data of important users collected by the intelligent load control terminal usually include key parameters such as power consumption and power factor at different time points. The system processes and analyzes these historical data, and draws the first load change curve reflecting the power consumption characteristics of important users through time series analysis, data fitting and other methods. This curve visually shows the power consumption trend of important users at different times of the day, reflecting the characteristics of peak, trough and periodic changes in power consumption. The purpose of determining the first load change curve is to deeply understand the power consumption pattern and behavior of important users, which is crucial for accurately predicting future load changes and timely identifying potential power supply risks. By analyzing the first load change curve, the system can identify key periods such as peak power consumption and load surge points, providing an important basis for subsequent load forecasting and risk assessment. In addition, this curve also provides basic data support for determining the first load shedding amount and the first load shedding period. Based on this curve, the system can combine the current real-time load data to more accurately predict the load change trend in the future period, so as to more accurately calculate the required load shedding amount and select the best shedding period.

[0038] S202: Predicting a second load change curve corresponding to the important user according to current load data in the first load data.

[0039] The second load change curve refers to a short-term future load change trend chart predicted based on the current real-time load data of important users. In the embodiment of the present application, it can be understood that by analyzing the real-time load data of important users and combining the historical power consumption patterns, the load changes in the future period are predicted, and a curve is drawn to represent the expected change in power consumption over time. The second load change curve is mainly used for real-time load management and short-term risk warning.

[0040] Specifically, predicting the second load change curve corresponding to important users based on the current load data in the first load data is a key step in achieving real-time load management and risk warning. This process first uses the current load data of important users collected in real time by the intelligent load control terminal, including instantaneous power, current, voltage and other parameters. Based on these real-time data, combined with the historical power consumption pattern reflected by the first load change curve determined in the previous step, the system uses a prediction algorithm to predict the load change trend in the future period, thereby drawing the second load change curve. The purpose of predicting the second load change curve is to capture the real-time changes in the power consumption behavior of important users in a timely manner and to accurately estimate the load changes in the short term in the future.

[0041] S203: Calculating the power consumption of the important user on the day according to the first load change curve and the second load change curve.

[0042] Specifically, the system first compares and merges the first load change curve with the second load change curve. Through the weight distribution algorithm, the system assigns a higher weight to the real-time prediction data, while taking into account the influence of historical data, so as to obtain a more accurate comprehensive load curve. Then, the system integrates this comprehensive curve and calculates the area under the curve, which is the estimated total power consumption of the important user on that day. Dividing this total power consumption by 24 hours, the average power consumption can be obtained. In addition, the system will identify the peak points on the curve and calculate the maximum power consumption. This calculation method that combines historical patterns and real-time predictions can more accurately reflect the actual power consumption of important users, while also taking into account possible load fluctuations and anomalies. The purpose of calculating the power consumption of important users on that day is to provide more accurate data support for subsequent load control decisions. By accurately estimating the power consumption, the system can more accurately assess the power supply risk, calculate the required first load shedding amount, and optimize the selection of the first load shedding period.

[0043] S204: When it is monitored that the important user has a power supply risk in which the power consumption exceeds a preset safety threshold, a first load shedding amount and a first load shedding period required to eliminate the power supply risk are determined according to the first load change curve and the second load change curve.

[0044] When it is detected that there is a power supply risk of important users consuming power exceeding the preset safety threshold, the system needs to take prompt action to ensure the safety of the power grid and the continuous and stable power supply of important users. The core of this step is to determine the first load removal amount and the first load removal period required to eliminate the power supply risk based on the first load change curve and the second load change curve. The specific implementation process is as follows: First, the system conducts a comprehensive analysis of the first load change curve and the second load change curve to generate a more accurate comprehensive load forecast curve. Then, the system compares this comprehensive forecast curve with the preset safety threshold to determine the time period and power value that exceeds the safety threshold. The excess power value is the first load removal amount that needs to be removed. In order to accurately calculate the first load removal amount, the system will take into account the dynamic characteristics of load fluctuations, and may adopt rolling prediction and dynamic adjustment methods to ensure the accuracy and effectiveness of the removal amount.

[0045] When determining the first load shedding period, the system analyzes the characteristics of the comprehensive forecast curve and considers multiple factors, such as peak power consumption, grid supply and demand balance, and power consumption of other users. The system selects an optimal time period to implement load shedding, usually when the load is relatively low or the grid has a strong bearing capacity, to minimize the impact of load shedding on the overall grid operation and other users. At the same time, the system also considers the duration and frequency of load shedding to ensure that it does not cause excessive impact on the normal operation of important users.

[0046] This precise calculation and time selection method based on comprehensive data analysis can ensure that load shedding operations can effectively eliminate power supply risks and minimize adverse effects on the power grid and users. By accurately determining the first load shedding amount and the first load shedding period, the system can achieve more refined and intelligent load management.

[0047] S103: Determine a target user among the interruptible users and a target load shedding period corresponding to the target user according to the second load data, the first load shedding amount, and the first load shedding period.

[0048] The target user refers to a specific user who is selected to perform load shedding operations in the interruptible user group. In the embodiment of the present application, it can be understood that the interruptible users who need to perform load shedding within a specific period of time are finally determined through analysis and screening by the intelligent load control system. These target users are mainly used to execute the first load shedding amount calculated by the system to eliminate the power supply risk of important users. By accurately selecting target users, the system can minimize the overall impact of load shedding on the user group while ensuring the safety of the power grid. This method can achieve precise load management, thereby improving the operating efficiency and stability of the entire power grid.

[0049] The target load shedding period refers to the time interval for executing the load shedding operation specifically determined for each target user. In the embodiment of the present application, it can be understood that the intelligent load control system determines the optimal load shedding execution period for each target user based on the first load shedding period, the power consumption characteristics of the target user, and the overall balance requirements of the power grid. The target load shedding period is mainly used to guide the system to accurately perform load control operations, ensure that load shedding is implemented for the correct user at the right time, thereby effectively eliminating power supply risks and minimizing adverse effects on users and the power grid.

[0050] In specific implementation, the system first analyzes the second load data to evaluate the current load status, power consumption characteristics and interruption capacity of each interruptible user. Then, based on the first load shedding amount, the system calculates the number of target users to be selected and the load shedding amount for each user. When selecting target users, the system will consider multiple factors, such as the user's contractual agreement, historical cooperation, the degree of impact of the interruption on the user, the overall balance of the power grid, etc. When determining the target load shedding period, the system will select the time period with the least impact on the user within the scope of the first load shedding period, combined with the power consumption characteristics and production cycle of each target user. This may involve analysis and prediction of the user's production plan so that load shedding can be implemented without affecting key production processes. The system will also consider the distribution and sequence of load shedding, and may adopt a rotation or cascade shedding method to reduce the continuous impact on individual users.

[0051] In an optional implementation, step S103 also includes steps S301 - S304 .

[0052] S301: Determine the unit cut-off cost of the interruptible user according to the type of the tripping and closing device and the interruption compensation cost; Unit removal cost refers to the comprehensive economic cost required to perform unit load removal operations on interruptible users. In the embodiments of the present application, it can be understood as the total cost of removing each unit load calculated based on the type of tripping and closing equipment and the interruption compensation cost. The unit removal cost is mainly used to evaluate and compare the economic efficiency of load removal of different interruptible users, and provides an important basis for the intelligent load control system to select the optimal target user.

[0053] In specific implementation, the system first analyzes the type of tripping and closing equipment for each interruptible user. Different types of tripping and closing equipment have different operating characteristics, response speeds, and reliability, which directly affect the efficiency and cost of load shedding. For example, highly intelligent equipment may have faster response speeds and higher reliability, but the initial investment cost may be higher; while traditional equipment may have a lower initial cost but may require more maintenance costs and manual operation costs. The system evaluates various types of equipment and assigns a cost coefficient to each type. At the same time, the system also considers the interruption compensation cost. This includes compensation for the economic losses that users may suffer due to load interruptions, such as losses caused by production interruptions, waste of raw materials, etc. The calculation of the interruption compensation cost may be based on factors such as the user's industry characteristics, production scale, historical data, and contractual agreements. The system may use complex economic models to estimate the actual economic impact of interruptions of different time periods and durations on various users. Based on these two factors, the system uses a comprehensive calculation method to determine the unit removal cost of each interruptible user.

[0054] S302: determining a second load shedding period and a second load shedding amount of the interruptible user according to the historical power consumption data of the interruptible user, and calculating the interruption duration of the second load shedding period within the first load shedding period; Determining the second load shedding period and the second load shedding amount based on the historical power consumption data of the interruptible users, and calculating the interruption duration of the second load shedding period within the first load shedding period, is a key step in achieving accurate load management. This process aims to predict the future power consumption behavior of users by analyzing their historical power consumption patterns, so as to formulate a more reasonable and personalized load shedding plan.

[0055] In specific implementation, the system first conducts an in-depth analysis of the historical electricity consumption data of each interruptible user. These data may include daily load curves, weekly load curves, seasonal electricity consumption patterns, etc. The system may use advanced technologies such as time series analysis and machine learning algorithms to identify the user's electricity consumption patterns and characteristics. Based on these analysis results, the system determines the most suitable second load shedding period for each user. The selection of this period will take into account factors such as the user's electricity consumption peaks and troughs, production cycles, and equipment operating characteristics, and strive to achieve load shedding with minimal impact on the user's normal operations. At the same time, the system will also calculate the second load shedding amount based on historical data. This value reflects the amount of load that the user can safely shedding during the selected second load shedding period.

[0056] S303: Calculating the interruption priority score of the interruptible user according to the unit removal cost and the interruption duration; The interruption duration refers to the duration of the actual load shedding operation performed by the interruptible user. In the embodiment of the present application, it can be understood as the length of time of the overlapping part of the second load shedding period and the first load shedding period. The interruption priority score refers to a comprehensive evaluation index that measures the priority of the interruptible user to be selected as the target user for load shedding. In the embodiment of the present application, it can be understood as a numerical indicator that reflects the suitability of the user's load shedding, which is calculated based on factors such as unit shedding cost, interruption duration, and historical cooperation. The interruption priority score is used to screen and sort among many interruptible users, helping the system to quickly identify the target users who are most suitable for load shedding.

[0057] In specific implementation, the system first combines the previously calculated unit removal cost and interruption duration data. The unit removal cost reflects the economic benefits of load shedding for users, including factors such as equipment operating costs and user compensation costs; while the interruption duration reflects the actual participation of users in the overall load control plan. The process of calculating the interruption priority score may also consider other factors, such as the user's historical cooperation, load characteristics, and impact on grid stability. These factors can be reflected by adding additional terms to the formula or adjusting the weights, so that the final score more comprehensively reflects the user's comprehensive value.

[0058] Specifically, the interrupt priority score may be calculated in the following manner.

[0059] Substituting the second load data of the interruptible user and the first load shedding period into a preset score calculation formula to calculate the interruption priority score of the interruptible user; Wherein, the preset formula is: Wherein, P represents the interrupt priority score, i represents the i-th type of the tripping and closing device, n represents the total number of the tripping and closing device types, and w i represents the compensation weight of the i-th tripping and closing device type, T i represents the standard cost of the i-th type of tripping and closing equipment, C represents the interruption compensation cost, D represents the number of times the interruptible user has participated in load shedding, α represents the successful tripping and closing ratio of the interruptible user, t 2 represents the second load shedding period, t 1 represents the first load shedding period, t 2 ∩t 1 represents the interruption duration of the second load shedding period within the first load shedding period, R represents the number of tripping and closing times corresponding to the interruption duration, V h Indicates the load stability impact factor within the interruption duration.

[0060] In the intelligent load control method of the present invention, the interruption priority score is calculated by substituting the second load data of the interruptible user and the first load removal period into a preset score calculation formula. The first part of the formula The main considerations are economy and historical performance. In the numerator (1+αD), D represents the number of times the user has participated in load shedding, reflecting the user's participation. The more times, the more actively the user cooperates with load management. α is the successful tripping and closing ratio, which reflects the reliability of the user's equipment and the stability of operation. The higher the ratio, the more reliable the user is when performing load shedding. The design of 1+αD ensures that even new users (D=0) have a basic score, and the score will increase accordingly as the number of successful participation increases. The costs of different types of tripping and closing equipment are considered. i is the weight, T i is the standard cost, which accurately reflects the economic impact of different equipment types. C represents the interruption compensation cost, which takes into account the economic compensation to users. The larger this part is, the higher the overall economic cost of load shedding is.

[0061] The second part of the formula min(t 2 ∩t 1 ,R)×V h The main considerations are technical feasibility and impact on grid stability. 2 It is the second load shedding period determined based on the user's historical electricity consumption data. 1 is the first load shedding period scheduled by the system. 2 ∩t 1 Represents the overlap of the two time periods, that is, the time during which the user can actually perform load shedding. R limits the maximum number of tripping and closing times, V hThe impact of load shedding on grid stability is considered.

[0062] By adding these two parts, the formula achieves a comprehensive assessment of economics, historical performance, technical feasibility, and grid impact. This design enables the system to weigh each user in multiple dimensions and select the optimal load shedding target. It not only takes into account short-term economic benefits, but also incorporates long-term user reliability and system stability considerations.

[0063] S304: In descending order of interruption priority scores, multiple interruptible users corresponding to the second load shedding amounts that meet the first load shedding amount are determined as target users, and the second load shedding period of the target user is set as the target load shedding period within the first load shedding period.

[0064] In specific implementation, the system first sorts all interruptible users according to their interruption priority scores from high to low. This sorting method is based on the above comprehensive and complex evaluation, ensuring that the users who are most suitable for load shedding are given priority. Then, starting from the user with the highest ranking, the system accumulates their second load shedding amount one by one until the first load shedding amount required by the system is met. This process is actually a dynamic selection process that takes into account the comprehensive scores of users and ensures that the total amount of load shedding can accurately match the system requirements.

[0065] After selecting the target users, the system further determines the target load shedding period. This is achieved by comparing the second load shedding period of each target user (i.e., the personalized shedding period determined based on the user's historical electricity consumption data) with the first load shedding period predetermined by the system, and taking the overlapping part. By selecting the user with the highest interruption priority score, the system ensures that the most suitable user in terms of economic benefits, technical feasibility, historical performance, and impact on grid stability is selected as the target. Secondly, this method ensures the precise control of the load shedding amount, and will neither affect the stability of the grid due to insufficient shedding nor cause unnecessary economic losses due to excessive shedding. Furthermore, by determining the target load shedding period, the system realizes the refined management of the shedding time, minimizing the impact on the normal electricity consumption of users.

[0066] Optionally, step S304 specifically also includes steps S3041-S3042.

[0067] S3041: Determine the priority level of the interruptible user corresponding to the interruption priority score according to the score interval of the interruption priority score, and count the level load shedding amount of each priority level; In specific implementation, the system first needs to preset multiple score intervals, each of which corresponds to a priority level. The setting of these score intervals should be based on the analysis of historical data and the consideration of the current power grid operation status to ensure that users can be reasonably classified. Subsequently, the system compares the interruption priority score of each interruptible user with these preset intervals to determine the priority level to which each user belongs. This method realizes the hierarchical management of users, making the load control strategy more flexible and targeted.

[0068] After determining the priority level of each user, the system further calculates the level load shedding amount of each priority level. This is achieved by summarizing the second load shedding amount of all users in the same level. The calculation of the level load shedding amount provides important reference data for subsequent load control decisions, enabling the system to grasp the load shedding capacity of different levels from a macro level.

[0069] The system can formulate and implement load control strategies more flexibly, for example, only selecting the highest priority users in the case of mild load adjustment, and gradually expanding to more levels in severe cases. Secondly, this method provides more structured decision support information. The statistics of the load shedding amount at each level enable the system to quickly evaluate the load adjustment potential of each level, which helps to formulate more accurate and efficient load control plans.

[0070] S3042: Determine a target priority level according to the first load shedding amount and the load shedding amounts of each level, and determine the interruptible users in the target priority level as target users.

[0071] In specific implementation, the system first compares the first load shedding amount (i.e., the total load shedding amount required by the system) with the level load shedding amount of each priority level calculated in the previous steps. Starting from the highest priority, the system accumulates the level load shedding amount step by step until the cumulative sum reaches or exceeds the first load shedding amount for the first time. The last priority level accumulated in this process is determined as the target priority level. This method ensures that the system can accurately select the minimum user level that meets the load shedding requirements, minimizing the impact on users.

[0072] After determining the target priority level, the system identifies all interruptible users in this level and higher priority as target users. This selection method ensures that the load shedding task is preferentially assigned to the most suitable user group, while also leaving room for possible further adjustments. By accurately selecting the target priority level, the system ensures that only the most necessary user groups are included in the load shedding range, avoiding unnecessary economic losses caused by excessive shedding. Users can more accurately estimate the possibility of being selected as a target user based on their own priority level, so as to make better power consumption plans.

[0073] S104: Generate a tripping instruction corresponding to the target user, and send the tripping instruction to the target intelligent load control terminal at the target user side, so that the target intelligent load control terminal controls the load equipment of the target user to be in a tripping state within the target load shedding period.

[0074] First, according to the target users and target load shedding period determined in the previous steps, a personalized tripping instruction is generated for each target user. These instructions contain detailed information such as the specific execution time, duration, and load equipment involved. Subsequently, the system sends these tripping instructions to the intelligent load control terminal on the target user side through a secure and reliable communication network. After receiving the instructions, the intelligent load control terminal will accurately control the relevant load equipment of the target user to enter the tripping state within the specified target load shedding period, thereby achieving load shedding.

[0075] By sending instructions directly to the intelligent terminal, the system can ensure that load shedding is executed at a precise time point, avoiding delays or errors that may be caused by human operation. Secondly, this method greatly improves the efficiency and reliability of load management. The automated instruction generation and sending process can complete large-scale load control in a short time, which is particularly suitable for responding to emergencies or rapidly changing grid needs. Furthermore, this method lays the foundation for more sophisticated and flexible load management. The use of intelligent load control terminals enables the system to implement differentiated control strategies for different users and different devices, thereby maximizing the effect of load management.

[0076] Optionally, step S104 specifically also includes steps S401-S402.

[0077] S401: Control the target intelligent load control terminal to send a trip confirmation instruction to the target user.

[0078] In specific implementation, after the target intelligent load control terminal performs the tripping operation, the system will instruct the terminal to generate and send a tripping confirmation instruction to the target user. This confirmation instruction usually contains key information such as the time of tripping execution, the load equipment involved, and the expected recovery time. The sending method can be directly displayed on the display screen of the intelligent terminal, or sent to the user's mobile device through SMS, APP push, etc. This process ensures that users can be informed of the execution status of load control in a timely manner.

[0079] The trip confirmation instruction is not only a notification of the execution status, but also a safety reminder, which can prevent users from accidentally operating the equipment during load shedding, thus avoiding potential safety hazards. Furthermore, this approach helps to improve user participation and satisfaction.

[0080] S402: If the target intelligent load control terminal does not receive a trip rejection instruction fed back by the target user according to the trip confirmation instruction before the target load shedding period starts, the target intelligent load control terminal is controlled to execute the trip instruction.

[0081] In specific implementation, after sending the trip confirmation command, the system will reserve a feedback time window for the target user. In this time window, the user can decide whether to accept the load shedding according to his own situation. If the user cannot accept the load shedding for special reasons, he can send a trip rejection command through the intelligent load control terminal or other designated communication channels. The system will continue to monitor this feedback until the target load shedding period begins. If the user's trip rejection command is not received before then, the system will assume that the user agrees to the load shedding and control the target intelligent load control terminal to execute the trip command as originally planned.

[0082] By giving users the opportunity to give feedback, the system takes into account the actual needs and special circumstances of users, making load management more flexible and adaptable. Secondly, this approach improves user participation and initiative. Users are no longer passive recipients of load control, but have the opportunity to express their opinions and become active participants in the load management process. Thirdly, this approach cleverly balances system requirements and user rights. By setting a default execution mechanism, it ensures that load control can proceed smoothly in most cases, while leaving room for special circumstances.

[0083] The following are device embodiments of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0084] See also Figure 2 , which shows a schematic diagram of the structure of an intelligent load control terminal control device provided by an exemplary embodiment of the present application. The device can be implemented as all or part of the device through software, hardware or a combination of both. The intelligent load control terminal control device includes: A data acquisition module, used to acquire first load data corresponding to important users collected by the intelligent load control terminal, and second load data corresponding to interruptible users; a risk monitoring module, configured to determine, when it is detected that the important user has a power supply risk, a first load shedding amount and a first load shedding period required to eliminate the power supply risk according to the first load data; A target user determination module is used to determine the target user among the interruptible users and the target load shedding period corresponding to the target user based on the second load data, the first load shedding amount and the first load shedding period; an execution module is used to generate a tripping instruction corresponding to the target user, and send the tripping instruction to the target intelligent load control terminal on the target user side, so that the target intelligent load control terminal controls the load equipment of the target user to be in a tripping state within the target load shedding period.

[0085] Based on the above embodiment, as an optional embodiment, the data acquisition module is also used to obtain the historical electricity consumption data and interruption compensation cost of the interruptible user collected by the smart power meter; and obtain the type of tripping and closing device of the interruptible user obtained by the special transformer acquisition terminal.

[0086] On the basis of the above embodiments, as an optional embodiment, the risk monitoring module is also used to determine the first load change curve corresponding to the important user based on the daily historical load data in the first load data; predict the second load change curve corresponding to the important user based on the current load data in the first load data; calculate the power consumption of the important user on that day based on the first load change curve and the second load change curve; when it is monitored that the important user has a power supply risk that the power consumption exceeds a preset safety threshold, determine the first load shedding amount and the first load shedding time period required to eliminate the power supply risk based on the first load change curve and the second load change curve.

[0087] On the basis of the above embodiments, as an optional embodiment, the target user determination module is also used to determine the unit cut-off cost of the interruptible user according to the type of tripping and closing equipment and the interruption compensation cost; determine the second load cut-off period and the second load cut-off amount of the interruptible user according to the historical power consumption data of the interruptible user, and calculate the interruption duration of the second load cut-off period within the first load cut-off period; calculate the interruption priority score of the interruptible user according to the unit cut-off cost and the interruption duration; determine the interruptible users corresponding to the multiple second load cut-off amounts that meet the first load cut-off amount as target users in order of the interruption priority scores from large to small, and set the second load cut-off period of the target user to the target load cut-off period within the first load cut-off period.

[0088] Based on the above embodiment, as an optional embodiment, the target user determination module is further used to substitute the second load data of the interruptible user and the first load removal period into a preset score calculation formula to calculate the interruption priority score of the interruptible user; wherein the preset formula is: Wherein, P represents the interrupt priority score, i represents the i-th type of the tripping and closing device, n represents the total number of the tripping and closing device types, and w i represents the compensation weight of the i-th tripping and closing device type, T i represents the standard cost of the i-th type of tripping and closing equipment, C represents the interruption compensation cost, D represents the number of times the interruptible user has participated in load shedding, α represents the successful tripping and closing ratio of the interruptible user, t 2 represents the second load shedding period, t 1 represents the first load shedding period, t 2 ∩t 1 represents the interruption duration of the second load shedding period within the first load shedding period, R represents the number of tripping and closing times corresponding to the interruption duration, V h Indicates the load stability impact factor within the interruption duration.

[0089] On the basis of the above embodiment, as an optional embodiment, the target user determination module is also used to determine the priority level of the interruptible user corresponding to the interruption priority score according to the score interval of the interruption priority score, and to count the level load shedding amount of each priority level; determine the target priority level according to the first load shedding amount and the load shedding amount of each level, and determine the interruptible user within the target priority level as the target user.

[0090] Based on the above embodiment, as an optional embodiment, the execution module is further used to control the target intelligent load control terminal to send a trip confirmation instruction to the target user; If the target intelligent load control terminal does not receive the trip rejection instruction fed back by the target user according to the trip confirmation instruction before the start of the target load shedding period, the target intelligent load control terminal is controlled to execute the trip instruction.

[0091] The present application also provides a computer storage medium that can store multiple instructions, which are suitable for being loaded and executed by a processor as described above. Figure 1 The specific execution process of the intelligent load control terminal control method of the embodiment shown in the figure can be found in Figure 1 The specific description of the illustrated embodiment will not be repeated here.

[0092] See also Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3As shown, the electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0093] The communication bus 302 is used to realize the connection and communication between these components.

[0094] The user interface 303 may include a standard wired interface or a wireless interface.

[0095] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0096] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0097] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally be at least one storage device located away from the aforementioned processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of an intelligent load control terminal control method.

[0098] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call an application program storing a smart load control terminal control method in the memory 305. When executed by one or more processors, the electronic device executes one or more methods in the above-mentioned embodiments.

[0099] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more methods in the above embodiments.

[0100] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0101] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0103] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0104] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0105] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0106] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. A control method for an intelligent load control terminal, characterized in that: Applied to a monitoring and dispatching system, the method comprises: obtaining first load data corresponding to important users collected by an intelligent load control terminal, and second load data corresponding to interruptible users; When it is monitored that the important user has a power supply risk, determining a first load shedding amount and a first load shedding period required to eliminate the power supply risk according to the first load data; Determine a target user among the interruptible users and a target load shedding period corresponding to the target user according to the second load data, the first load shedding amount and the first load shedding period; A tripping instruction corresponding to the target user is generated, and the tripping instruction is sent to the target intelligent load control terminal on the target user side, so that the target intelligent load control terminal controls the load equipment of the target user to be in a tripping state within the target load shedding period.

2. The method according to claim 1, characterized in that The second load data includes historical power consumption data of the interruptible user, the type of tripping and closing equipment, and the interruption compensation cost. The determining, according to the second load data, the first load shedding amount, and the first load shedding period, of a target user among the interruptible users and a target load shedding period corresponding to the target user includes: Determining the unit cutting cost of the interruptible user according to the type of the tripping and closing device and the interruption compensation cost; Determine the second load shedding period and the second load shedding amount of the interruptible user according to the historical power consumption data of the interruptible user, and calculate the interruption duration of the second load shedding period within the first load shedding period; Calculating the interruption priority score of the interruptible user according to the unit resection cost and the interruption duration; In descending order of interruption priority scores, the interruptible users corresponding to the multiple second load shedding amounts that meet the first load shedding amount are determined as target users, and the second load shedding period of the target user is the target load shedding period within the first load shedding period.

3. The method according to claim 2, characterized in that The calculating the interruption priority score of the interruptible user according to the unit resection cost and the interruption duration includes: Substituting the second load data of the interruptible user and the first load shedding period into a preset score calculation formula to calculate the interruption priority score of the interruptible user; Wherein, the preset formula is: Wherein, P represents the interrupt priority score, i represents the i-th type of the tripping and closing device, n represents the total number of the tripping and closing device types, and w i represents the compensation weight of the i-th tripping and closing device type, T i represents the standard cost of the i-th type of tripping and closing equipment, C represents the interruption compensation cost, D represents the number of times the interruptible user has participated in load shedding, α represents the tripping and closing success ratio of the interruptible user, t2 represents the second load shedding period, t1 represents the first load shedding period, t2∩t1 represents the interruption duration of the second load shedding period within the first load shedding period, R represents the number of tripping and closing times corresponding to the interruption duration, V h Indicates the load stability impact factor within the interruption duration.

4. The method according to claim 2, characterized in that: The step of determining, in descending order of interruption priority scores, a plurality of interruptible users corresponding to the second load shedding amounts that satisfy the first load shedding amount as target users comprises: Determine the priority level of the interruptible user corresponding to the interruption priority score according to the score interval of the interruption priority score, and count the level load shedding amount of each priority level; A target priority level is determined according to the first load shedding amount and the load shedding amounts of each level, and the interruptible users within the target priority level are determined as target users.

5. The method according to claim 1, characterized in that When it is monitored that the important user has a power supply risk, determining a first load shedding amount and a first load shedding period required to eliminate the power supply risk according to the first load data, comprises: Determine a first load change curve corresponding to the important user according to daily historical load data in the first load data; predict a second load change curve corresponding to the important user according to current load data in the first load data; The power consumption of the important user on that day is calculated based on the first load change curve and the second load change curve; when it is monitored that there is a power supply risk that the power consumption of the important user exceeds a preset safety threshold, the first load shedding amount and the first load shedding time period required to eliminate the power supply risk are determined based on the first load change curve and the second load change curve.

6. The method according to claim 1, characterized in that After generating a tripping instruction corresponding to the target user and sending the tripping instruction to the target intelligent load control terminal at the target user side, the method further includes: Controlling the target intelligent load control terminal to send a trip confirmation instruction to the target user; If the target intelligent load control terminal does not receive the trip rejection instruction fed back by the target user according to the trip confirmation instruction before the start of the target load shedding period, the target intelligent load control terminal is controlled to execute the trip instruction.

7. The method according to claim 2, characterized in that The intelligent load control terminal includes an intelligent electric energy meter and a special transformer collection terminal, and the obtaining of the second load data corresponding to the interruptible user collected by the intelligent load control terminal includes: Acquire the historical electricity consumption data and interruption compensation cost of the interruptible user collected by the smart electric energy meter; Obtain the type of tripping and closing device that can interrupt the user obtained by the dedicated transformer acquisition terminal.

8. A control device for an intelligent load control terminal, characterized in that: The device comprises: A data acquisition module, used to acquire first load data corresponding to important users collected by the intelligent load control terminal, and second load data corresponding to interruptible users; a risk monitoring module, configured to determine, when it is detected that the important user has a power supply risk, a first load shedding amount and a first load shedding period required to eliminate the power supply risk according to the first load data; a target user determination module, configured to determine a target user among the interruptible users and a target load shedding period corresponding to the target user according to the second load data, the first load shedding amount and the first load shedding period; An execution module is used to generate a tripping instruction corresponding to the target user, and send the tripping instruction to the target intelligent load control terminal on the target user side, so that the target intelligent load control terminal controls the load equipment of the target user to be in a tripping state within the target load shedding period.

9. A computer storage medium, characterized in that: The computer storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises a processor, a memory and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

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