An ordered electricity utilization daily execution situation evaluation method, device, equipment and medium

Abstract

The present application belongs to the technical field of power system, and particularly relates to a method, device, equipment and medium for evaluating the in-day execution of orderly power utilization. The method constructs an orderly power utilization load portrait of each user according to the index data and attribute information of each user, determines a load portrait comprehensive measure value of each user according to the orderly power utilization load portrait of each user, determines a feeder comprehensive measure value of a user cluster according to the attribute information and load portrait comprehensive measure value of each user, determines an orderly power utilization comprehensive measure value of a regional power grid according to the feeder comprehensive measure value of each user cluster, determines an in-day execution evaluation result of orderly power utilization of each feeder based on the feeder comprehensive measure value of the user cluster, and determines an in-day execution evaluation result of orderly power utilization of each regional power grid based on the orderly power utilization comprehensive measure value of the regional power grid. The present application can comprehensively and accurately evaluate the power utilization characteristics and orderly power utilization capacity of users, and provide strong decision support for power regulation departments.

Description

Technical Field

[0001] This invention belongs to the field of power system technology, specifically relating to a method, apparatus, equipment, and medium for evaluating the daily execution of orderly electricity consumption. Background Technology

[0002] With a high proportion of clean energy being integrated into the grid, tight power balance scenarios are becoming increasingly common, posing a severe challenge to the safe and stable operation of the power system. Domestic electricity demand continues to grow, with load repeatedly reaching new highs. However, the uncertainty of renewable energy output and the insufficient output of traditional thermal power due to resource constraints have made the power supply situation extremely challenging. Especially during peak electricity consumption periods, such as summer and winter, localized and time-limited power shortages persist for extended periods, forcing many regions to implement power rationing measures, placing enormous pressure on power regulation.

[0003] The government-issued orderly electricity consumption plans often differ from their actual implementation. During the implementation of orderly electricity consumption, power supply units face various uncertainties and unforeseen circumstances. Only by comprehensively balancing the system's safety boundaries, load characteristics, control costs, and overall benefits under tight power balance scenarios can orderly electricity consumption plans be rationally implemented and service quality improved. Currently, various regions in my country have accumulated considerable experience in orderly electricity consumption, but some problems have also been exposed that require further improvement. In particular, when implementing orderly power supply, relevant government power management departments cannot fully and effectively grasp the electricity load of various units and enterprises. The adjustable loads in different regions differ in characteristics such as time scale, response speed, adjustment range, and adjustment costs, making aggregate analysis and coordinated control difficult and hindering the rational allocation of power resources. Furthermore, the ability to conduct real-time quantitative assessment and analysis of orderly electricity consumption within a single day is insufficient.

[0004] Therefore, it is urgent to use technical means to scientifically and accurately analyze the daily orderly electricity load operation status and grasp the daily implementation of orderly electricity use in provincial and local power grids. Summary of the Invention

[0005] The purpose of this invention is to provide a method, apparatus, equipment, and medium for evaluating the implementation of orderly electricity consumption within a given day, so as to solve the technical problem of how to accurately grasp the implementation of orderly electricity consumption within a provincial power grid within a given day in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a method for evaluating the implementation of orderly electricity consumption within a given day, comprising the following steps:

[0008] Obtain indicator data and attribute information for each user in the regional power grid;

[0009] Based on the indicator data provided by each user, an ordered electricity load profile is constructed, including the static attributes, dynamic characteristics, and real-time status of each user; based on the ordered electricity load profiles of each user, the comprehensive measurement value of the load profile for each user is determined.

[0010] Based on the attribute information and load profile comprehensive measurement value of each user, the feeder comprehensive measurement value of the user cluster is determined; based on the feeder comprehensive measurement value of each user cluster, the regional power grid orderly electricity consumption comprehensive measurement value is determined.

[0011] The evaluation results of the daily implementation of orderly electricity consumption for each feeder are determined based on the comprehensive measurement value of the feeder in the user cluster, and the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid are determined based on the comprehensive measurement value of orderly electricity consumption in the regional power grid.

[0012] Furthermore, in the step of obtaining indicator data and attribute information of each user in the regional power grid,

[0013] The data metrics include user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures.

[0014] The attribute information includes each user's name, type, weight, feeder, and region.

[0015] Furthermore, based on the orderly electricity load profiles provided by each user, a comprehensive load profile measurement value for each user is determined, including:

[0016] Calculate the comprehensive measurement of the static attributes of orderly electricity consumption for each user. The calculation formula is:

[0017]

[0018] Calculate the comprehensive measurement of the dynamic characteristics of orderly electricity consumption for each user. The calculation formula is:

[0019]

[0020] Calculate the comprehensive measurement of the real-time orderly power consumption status of each user. The calculation formula is:

[0021]

[0022] The comprehensive measurement value of the orderly electricity load profile of each user was calculated. The calculation formula is:

[0023]

[0024] In the above formula, i represents user i, and n represents the number of users. For user level; For response time; For user capacity; Basic adjustable capability; It has an adjustable capability of N-1; It has an adjustable capability of N-2; The system is in a safe state. For real-time measurement; Load forecasting should take into account the implementation of orderly electricity consumption control measures.

[0025] Furthermore, based on the attribute information of each user and the comprehensive measurement value of the load profile, the comprehensive measurement value of the feeder for the user cluster is determined; based on the comprehensive measurement value of the feeder for each user cluster, the comprehensive measurement value of orderly electricity consumption of the regional power grid is determined, including:

[0026] The feeder to which a user belongs is determined based on the user's attribute information;

[0027] The load profile comprehensive measurement values ​​of all users belonging to the same feeder are weighted and summed to obtain the feeder comprehensive measurement value of the user cluster.

[0028] The weighted summation of the feeder comprehensive measurement values ​​of each user cluster belonging to the same region yields the orderly electricity consumption comprehensive measurement value of the power grid in each region.

[0029] Furthermore, the evaluation results of the daily implementation of orderly electricity consumption for each feeder are determined based on the comprehensive measurement values ​​of the feeder in the user cluster, and the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid are determined based on the comprehensive measurement values ​​of orderly electricity consumption in the regional power grid, including:

[0030] The feeder comprehensive measurement value of the user cluster is compared with the preset first rating interval to determine the rating level corresponding to the feeder;

[0031] The comprehensive measurement value of orderly electricity consumption of the regional power grid is compared with the preset second scoring interval to determine the corresponding scoring level of the regional power grid.

[0032] In a second aspect, the present invention provides an evaluation device for the implementation of orderly electricity consumption within a day, comprising:

[0033] The data acquisition module is used to acquire indicator data and attribute information of each user in the regional power grid;

[0034] The first calculation module is used to construct an ordered electricity load profile including the static attributes, dynamic characteristics and real-time status of each user based on the index data of each user; and to determine the comprehensive measurement value of the load profile of each user based on the ordered electricity load profile of each user.

[0035] The second calculation module is used to determine the feeder comprehensive measurement value of the user cluster based on the attribute information of each user and the comprehensive measurement value of the load profile; and to determine the comprehensive measurement value of orderly power consumption of the regional power grid based on the feeder comprehensive measurement value of each user cluster.

[0036] The score evaluation module is used to determine the evaluation results of the daily implementation of orderly electricity consumption for each feeder based on the comprehensive measurement value of the feeder of the user cluster, and to determine the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid based on the comprehensive measurement value of orderly electricity consumption of the regional power grid.

[0037] Furthermore, in the data acquisition module, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures.

[0038] The attribute information includes each user's name, type, weight, feeder, and region.

[0039] Furthermore, in the first calculation module:

[0040] Calculate the comprehensive measurement of the static attributes of orderly electricity consumption for each user. The calculation formula is:

[0041]

[0042] Calculate the comprehensive measurement of the dynamic characteristics of orderly electricity consumption for each user. The calculation formula is:

[0043]

[0044] Calculate the comprehensive measurement of the real-time orderly power consumption status of each user. The calculation formula is:

[0045]

[0046] The comprehensive measurement value of the orderly electricity load profile of each user was calculated. The calculation formula is:

[0047]

[0048] In the above formula, i represents user i, and n represents the number of users. For user level; For response time; For user capacity; Basic adjustable capability; It has an adjustable capability of N-1; It has an adjustable capability of N-2; The system is in a safe state. For real-time measurement; Load forecasting should take into account the implementation of orderly electricity consumption control measures.

[0049] In a third aspect, the present invention provides an electronic device including a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the above-described method for evaluating the execution of ordered electricity consumption within a given day.

[0050] In a fourth aspect, the present invention provides a computer-readable storage medium storing at least one instruction that, when executed by a processor, implements the above-described method for evaluating the execution of ordered electricity consumption within a day.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0052] The proposed method for evaluating the daily implementation of orderly electricity consumption, by acquiring orderly electricity consumption index data, constructs an orderly electricity consumption load profile that considers users' static attributes, dynamic characteristics, and real-time status indicators. This profile comprehensively reflects users' electricity consumption characteristics and orderly electricity consumption capabilities, providing strong support for assessing the implementation of orderly electricity consumption. Furthermore, the constructed orderly electricity consumption load profile enhances the interoperability of multi-dimensional lean data, achieves the integration of professional orderly electricity consumption data, improves data utilization efficiency, and provides more accurate and comprehensive data support for subsequent analysis and decision-making.

[0053] In this scheme, the comprehensive measurement value of orderly power consumption of the user cluster feeder and the comprehensive measurement value of orderly power consumption of the power grid in each region are obtained by weighted summation of weight factors. This enables flexible adjustment of the weights of each user and each feeder, fully considers the differences in different regions and loads, and makes the evaluation results more consistent with reality.

[0054] This scheme calculates the graded evaluation results of the daily implementation of orderly electricity consumption based on the degree of deviation of the comprehensive measurement of orderly electricity consumption from the healthy value of each feeder and each regional power grid. This improves the accuracy of the assessment, shortens the assessment cycle, and provides timely and accurate decision-making basis for power regulation departments.

[0055] In summary, this solution obtains comprehensive data on orderly electricity consumption indicators, constructs an orderly electricity load profile considering user static attributes, dynamic characteristics, and real-time status indicators, and proposes calculation formulas for the comprehensive measurement values ​​of user orderly electricity load profiles, feeder orderly electricity consumption comprehensive measurement values ​​of user clusters, and regional power grid orderly electricity consumption comprehensive measurement values. Based on the degree to which the comprehensive measurement of orderly electricity consumption deviates from the healthy value, the tiered evaluation results of the daily execution of orderly electricity consumption for each feeder and each regional power grid are calculated. This solution can comprehensively and accurately assess users' electricity consumption characteristics and orderly electricity consumption capabilities, providing strong decision support for power regulation departments and achieving the rational allocation of power resources and the effective implementation of orderly electricity consumption. The orderly electricity consumption daily execution evaluation device, electronic device, and computer-readable storage medium provided by this invention also solve the problems raised in the background section. Attached Figure Description

[0056] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0057] Figure 1 This invention provides a method for evaluating the daily implementation of orderly electricity consumption.

[0058] Figure 2 This is a schematic diagram illustrating the orderly power load in an embodiment of the present invention;

[0059] Figure 3 This is a structural block diagram of an orderly electricity consumption daily execution evaluation device according to an embodiment of the present invention;

[0060] Figure 4 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0061] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0062] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0063] Measure: In mathematics, this concept is a generalization of geometric concepts such as length, area, and volume. Simply put, for a measurable set of indicators, a measure can give the "size" of that set of indicators.

[0064] Normalization method: Different evaluation indicators often have different dimensions and units of measurement. The normalization method can limit the preprocessed data to a certain range, eliminate the influence of dimensions, and thus make the data comparable.

[0065] Example 1

[0066] like Figure 1 As shown, a method for evaluating the implementation of orderly electricity consumption within a day includes the following steps:

[0067] S1. Obtain the indicator data and attribute information of each user in the regional power grid.

[0068] In step S1, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; the attribute information includes the name, type, weight, feeder, and region of each user.

[0069] In one embodiment, the weight of a user can be determined based on the user's type.

[0070] Specifically, users can be categorized into different types based on factors such as the nature, scale, and importance of their electricity consumption, such as industrial users, commercial users, and residential users. The weights for different user types are set according to their impact on the power grid and their electricity demand.

[0071] In an optional embodiment, indicator data and attribute information of each user are obtained from the control system.

[0072] Specifically, the system obtains data on user level (UL), user capacity (UC), response time (RT), basic adjustable capacity (BAC), N-1 adjustable capacity (N1AC), N-2 adjustable capacity (N2AC), real-time measurement (LR), load forecast (LF) after considering orderly power consumption control measures, and safety status (SA) for each user in the regional power grid from the control system; and obtains attribute information such as the name, type, weight, feeder, and region of each user.

[0073] in:

[0074] The user-level indicator UL is a discrete variable with a value range of {4,3,2,1}, representing premium users, level 1 users, level 2 users, and level 3 users respectively.

[0075] The indicators for user capacity (UC), basic adjustable capacity (BAC), N-1 adjustable capacity (N1AC), N-2 adjustable capacity (N2AC), real-time measurement (LR), and load forecasting (LF) are continuous variables with values ​​greater than or equal to 0, and the unit is megawatts.

[0076] The response time metric RT is a discrete variable with a value range of {10, 8, 4, 1}, representing milliseconds, seconds, minutes, and hours, respectively.

[0077] The safety status indicator SA is a discrete variable with a value range of {3, 2, 1}, representing alarm, good, and healthy, respectively.

[0078] In a preferred embodiment, after obtaining the above data, the user's various indicator data are normalized.

[0079] Specifically, the maximum value standardization method can be used to normalize all indicator data. The calculation formula is as follows:

[0080]

[0081] In the formula, n represents the total number of users, i represents the i-th user, and X represents the metric name. This represents the value of metric X for the i-th user. Represents the normalized data and .

[0082] Optionally, if the data contains extreme values ​​or is unevenly distributed, it can be processed using methods such as Z-score standardization or min-max standardization.

[0083] In one embodiment, when normalizing source data using the maximum value normalization method, if the maximum value in the dataset is an outlier, the normalization result may be affected by this outlier, leading to inaccurate data processing results. Therefore, when normalizing user indicator data, this solution preprocesses and verifies the data, removing data with excessive deviations.

[0084] In one embodiment, in addition to directly removing outliers, outliers can also be corrected using interpolation, mean substitution, or by setting a threshold for filtering.

[0085] S2. Based on the indicator data of each user, construct an ordered electricity load profile including the static attributes, dynamic characteristics and real-time status of each user; based on the ordered electricity load profile of each user, determine the comprehensive measurement value of the load profile of each user.

[0086] In step S2, an ordered electricity load profile is constructed, including the static attributes, dynamic characteristics, and real-time status of users in the regional power grid. For example... Figure 2 As shown, where:

[0087] The metrics included in static attributes include User Level (UL), User Capacity (UC), and Response Time (RT).

[0088] The dynamic characteristics include indicators such as basic adjustable capability (BAC), N-1 adjustable capability (N1AC), and N-2 adjustable capability (N2AC).

[0089] Real-time status includes metrics such as real-time measurements (LR), load forecasting (LF), and safety status (SA).

[0090] In step S2, a comprehensive measurement value of the orderly electricity load profile for each user is calculated using mathematical methods to evaluate the actual implementation of orderly electricity use within the day.

[0091] Specifically, based on the orderly electricity load profiles provided by each user, a comprehensive load profile measurement value is determined for each user, including:

[0092] Calculate the comprehensive measurement of the static attributes of orderly electricity consumption for each user. The calculation formula is:

[0093]

[0094] Calculate the comprehensive measurement of the dynamic characteristics of orderly electricity consumption for each user. The calculation formula is:

[0095]

[0096] Calculate the comprehensive measurement of the real-time orderly power consumption status of each user. The calculation formula is:

[0097]

[0098] By combining the three types of indicators, a comprehensive measurement value for the orderly electricity load profile of each user is calculated. The calculation formula is:

[0099]

[0100] In the above formula, i represents user i, and n represents the number of users. For user level; For response time; For user capacity; Basic adjustable capability; It has an adjustable capability of N-1; It has an adjustable capability of N-2; The system is in a safe state. For real-time measurement; Load forecasting should take into account the implementation of orderly electricity consumption control measures.

[0101] S3. Based on the attribute information of each user and the comprehensive measurement value of the load profile, determine the comprehensive measurement value of the feeder of the user cluster; based on the comprehensive measurement value of the feeder of each user cluster, determine the comprehensive measurement value of orderly power consumption of the regional power grid.

[0102] Step S3 specifically includes: determining the feeder to which each user belongs based on the attribute information of each user; weighting and summing the comprehensive load profile measurement values ​​of each user belonging to the same feeder to obtain the comprehensive feeder measurement value of the user cluster; and weighting and summing the comprehensive feeder measurement values ​​of each user cluster belonging to the same region to obtain the comprehensive orderly power consumption measurement value of the power grid in each region.

[0103] In one embodiment, a weighted summation is used to obtain a comprehensive measurement value of the orderly power consumption of the feeder.

[0104] Specifically, based on the attribute information of each user's feeder, a weighted sum is performed to obtain the comprehensive feeder metric value for the user cluster. The calculation formula is:

[0105]

[0106] In the formula, m represents the total number of feeders. This represents the total number of users within the power supply range of the j-th feeder; Represents the weight of the i-th user and .

[0107] In one embodiment, a weighted summation is used to obtain the comprehensive measurement value of orderly electricity consumption in the regional power grid.

[0108] Specifically, based on the attribute information of the regions to which each feeder belongs, a weighted sum is used to obtain the comprehensive measurement value of orderly electricity consumption of the power grid in each region. The calculation formula is:

[0109]

[0110] In the formula, s represents the total number of regions. This represents the total number of feeders within the power supply range of the k-th region; Indicates the weight of the j-th feeder and .

[0111] S4. Based on the comprehensive measurement value of the feeder of the user cluster, determine the evaluation result of the daily implementation of orderly electricity consumption of each feeder. Based on the comprehensive measurement value of orderly electricity consumption of the regional power grid, determine the evaluation result of the daily implementation of orderly electricity consumption of each regional power grid.

[0112] Step S4 specifically includes: comparing the comprehensive measurement value of the feeder of the user cluster with the preset first scoring interval to determine the scoring level corresponding to the feeder; comparing the comprehensive measurement value of orderly electricity consumption of the regional power grid with the preset second scoring interval to determine the scoring level corresponding to the regional power grid.

[0113] In one embodiment, the implementation of orderly power consumption for each feeder and each regional power grid is evaluated in the following manner:

[0114] Based on the degree to which the comprehensive measurement of orderly electricity consumption deviates from the healthy value, the daily implementation of orderly electricity consumption for each feeder and regional power grid is evaluated (A-Excellent; B-Good; C-Pass; D-Poor). The evaluation formula is:

[0115]

[0116]

[0117] in, This represents the evaluation result of the orderly power consumption implementation of the j-th feeder within a single day. This represents the evaluation result of the orderly electricity use implementation status in the k-th region within a given day.

[0118] The proposed method for analyzing the daily execution of orderly electricity consumption in regional power grids covers static attributes, dynamic characteristics, and real-time status indicators. First, it acquires and normalizes all user data from the control system to obtain standard indicator data. Second, it constructs an orderly electricity consumption load profile that includes user static attributes, dynamic characteristics, and real-time status indicators, and calculates the comprehensive measurement value of the user's orderly electricity consumption load profile. Then, it performs weighted summation to obtain the comprehensive measurement value of orderly electricity consumption for the user cluster's feeders, further yielding the comprehensive measurement value of orderly electricity consumption for the regional power grid. Finally, it evaluates the orderly electricity consumption execution status of each regional power grid based on the degree to which the comprehensive measurement of orderly electricity consumption deviates from the healthy value.

[0119] In an optional embodiment, after obtaining the evaluation results of the daily implementation of orderly power consumption for both the feeder and the regional power grid, for feeders and regional power grids with lower scores, the shortcomings in their orderly power consumption schemes are analyzed, such as inaccurate load forecasting and unreasonable control measures. Specific adjustment strategies are then formulated to address these issues, including optimizing the load forecasting model and adjusting control measures.

[0120] Example 2

[0121] like Figure 3 As shown, based on the same inventive concept as the above embodiments, the present invention also provides an evaluation device for the implementation of orderly electricity consumption within a day, comprising:

[0122] The data acquisition module is used to acquire indicator data and attribute information of each user in the regional power grid;

[0123] The first calculation module is used to construct an ordered electricity load profile including the static attributes, dynamic characteristics and real-time status of each user based on the index data of each user; and to determine the comprehensive measurement value of the load profile of each user based on the ordered electricity load profile of each user.

[0124] The second calculation module is used to determine the feeder comprehensive measurement value of the user cluster based on the attribute information of each user and the comprehensive measurement value of the load profile; and to determine the comprehensive measurement value of orderly power consumption of the regional power grid based on the feeder comprehensive measurement value of each user cluster.

[0125] The score evaluation module is used to determine the evaluation results of the daily implementation of orderly electricity consumption for each feeder based on the comprehensive measurement value of the feeder of the user cluster, and to determine the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid based on the comprehensive measurement value of orderly electricity consumption of the regional power grid.

[0126] In the data acquisition module, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; the attribute information includes the name, type, weight, feeder, and region of each user.

[0127] Example 3

[0128] like Figure 4 As shown, the present invention also provides an electronic device 100 for implementing a method for evaluating the execution of orderly electricity consumption within a day;

[0129] The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on at least one processor 102, and at least one communication bus 104.

[0130] The memory 101 can be used to store computer program 103. The processor 102 implements the steps of the method for evaluating the daily execution of orderly electricity consumption in Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0131] The memory 101 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0132] At least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 102 may be a microprocessor or any conventional processor. Processor 102 is the control center of electronic device 100, connecting various parts of electronic device 100 via various interfaces and lines.

[0133] The memory 101 in the electronic device 100 stores multiple instructions to implement a method for evaluating the execution of an orderly electricity consumption day, and the processor 102 can execute multiple instructions to achieve the following:

[0134] Obtain indicator data and attribute information for each user in the regional power grid;

[0135] Based on the indicator data provided by each user, an ordered electricity load profile is constructed, including the static attributes, dynamic characteristics, and real-time status of each user; based on the ordered electricity load profiles of each user, the comprehensive measurement value of the load profile for each user is determined.

[0136] Based on the attribute information and load profile comprehensive measurement value of each user, the feeder comprehensive measurement value of the user cluster is determined; based on the feeder comprehensive measurement value of each user cluster, the regional power grid orderly electricity consumption comprehensive measurement value is determined.

[0137] The evaluation results of the daily implementation of orderly electricity consumption for each feeder are determined based on the comprehensive measurement value of the feeder in the user cluster, and the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid are determined based on the comprehensive measurement value of orderly electricity consumption in the regional power grid.

[0138] Example 4

[0139] If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0140] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0141] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0142] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0143] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0144] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0145] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the implementation of orderly electricity consumption within a day, characterized in that, Includes the following steps: Obtain indicator data and attribute information for each user in the regional power grid; Based on the indicator data provided by each user, an orderly electricity load profile is constructed, including the static attributes, dynamic characteristics, and real-time status of each user. Based on the orderly electricity load profiles provided by each user, determine the comprehensive measurement value of the load profile for each user; Based on the attribute information of each user and the comprehensive measurement value of the load profile, the feeder comprehensive measurement value of the user cluster is determined; Based on the feeder comprehensive measurement values ​​of each user cluster, determine the comprehensive measurement value of orderly electricity consumption in the regional power grid; The evaluation results of the daily implementation of orderly electricity consumption for each feeder are determined based on the comprehensive measurement value of the feeder in the user cluster, and the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid are determined based on the comprehensive measurement value of orderly electricity consumption in the regional power grid. Based on the orderly electricity load profiles provided by each user, the comprehensive load profile measurement value for each user is determined, including: Calculate the comprehensive measurement of the static attributes of orderly electricity consumption for each user. The calculation formula is: Calculate the comprehensive measurement of the dynamic characteristics of orderly electricity consumption for each user. The calculation formula is: Calculate the comprehensive measurement of the real-time orderly power consumption status of each user. The calculation formula is: The comprehensive measurement value of the orderly electricity load profile of each user was calculated. The calculation formula is: In the above formula, i represents user i, and n represents the number of users. For user level; For response time; For user capacity; Basic adjustable capability; It has an adjustable capability of N-1; It has an adjustable capability of N-2; The system is in a safe state. For real-time measurement; To take into account load forecasting after implementing orderly electricity consumption control measures; Based on the attribute information and load profile comprehensive measurement values ​​of each user, the feeder comprehensive measurement value of the user cluster is determined; based on the feeder comprehensive measurement value of each user cluster, the regional power grid orderly electricity consumption comprehensive measurement value is determined, including: The feeder to which a user belongs is determined based on the user's attribute information; The load profile comprehensive measurement values ​​of all users belonging to the same feeder are weighted and summed to obtain the feeder comprehensive measurement value of the user cluster. The weighted summation of the feeder comprehensive measurement values ​​of each user cluster belonging to the same region yields the orderly electricity consumption comprehensive measurement value of the power grid in each region.

2. The method for evaluating the implementation of orderly electricity consumption within a day according to claim 1, characterized in that, In the steps of obtaining indicator data and attribute information of each user in the regional power grid, The data metrics include user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures. The attribute information includes each user's name, type, weight, feeder, and region.

3. The method for evaluating the implementation of orderly electricity consumption within a day according to claim 1, characterized in that, The evaluation results of the daily implementation of orderly electricity consumption for each feeder are determined based on the comprehensive measurement values ​​of the feeder in the user cluster, and the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid are determined based on the comprehensive measurement values ​​of orderly electricity consumption in the regional power grid, including: The feeder comprehensive measurement value of the user cluster is compared with the preset first rating interval to determine the rating level corresponding to the feeder; The comprehensive measurement value of orderly electricity consumption of the regional power grid is compared with the preset second scoring interval to determine the corresponding scoring level of the regional power grid.

4. A device for evaluating the implementation of orderly electricity consumption within a day, characterized in that, include: The data acquisition module is used to acquire indicator data and attribute information of each user in the regional power grid; The first calculation module is used to construct an orderly electricity load profile, including the static attributes, dynamic characteristics and real-time status of each user, based on the indicator data of each user. Based on the orderly electricity load profiles provided by each user, determine the comprehensive measurement value of the load profile for each user; The second calculation module is used to determine the feeder comprehensive measurement value of the user cluster based on the attribute information of each user and the comprehensive measurement value of the load profile; and to determine the comprehensive measurement value of orderly power consumption of the regional power grid based on the feeder comprehensive measurement value of each user cluster. The score evaluation module is used to determine the evaluation results of the daily implementation of orderly electricity consumption for each feeder based on the comprehensive measurement value of the feeder of the user cluster, and to determine the evaluation results of the daily implementation of orderly electricity consumption for each regional power grid based on the comprehensive measurement value of orderly electricity consumption of the regional power grid. Based on the orderly electricity load profiles provided by each user, the comprehensive load profile measurement value for each user is determined, including: Calculate the comprehensive measurement of the static attributes of orderly electricity consumption for each user. The calculation formula is: Calculate the comprehensive measurement of the dynamic characteristics of orderly electricity consumption for each user. The calculation formula is: Calculate the comprehensive measurement of the real-time orderly power consumption status of each user. The calculation formula is: The comprehensive measurement value of the orderly electricity load profile of each user was calculated. The calculation formula is: In the above formula, i represents user i, and n represents the number of users. For user level; For response time; For user capacity; Basic adjustable capability; It has an adjustable capability of N-1; It has an adjustable capability of N-2; The system is in a safe state. For real-time measurement; To take into account load forecasting after implementing orderly electricity consumption control measures; Based on the attribute information and load profile comprehensive measurement values ​​of each user, the feeder comprehensive measurement value of the user cluster is determined; based on the feeder comprehensive measurement value of each user cluster, the regional power grid orderly electricity consumption comprehensive measurement value is determined, including: The feeder to which a user belongs is determined based on the user's attribute information; The load profile comprehensive measurement values ​​of all users belonging to the same feeder are weighted and summed to obtain the feeder comprehensive measurement value of the user cluster. The weighted summation of the feeder comprehensive measurement values ​​of each user cluster belonging to the same region yields the orderly electricity consumption comprehensive measurement value of the power grid in each region.

5. The device for evaluating the daily implementation of orderly electricity consumption according to claim 4, characterized in that, In the data acquisition module, the indicator data includes user level, user capacity, response time, basic adjustable capacity, N-1 adjustable capacity, N-2 adjustable capacity, real-time measurement, safety status, and load forecast after considering orderly power consumption control measures; The attribute information includes each user's name, type, weight, feeder, and region.

6. An electronic device, characterized in that, It includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement the method for evaluating the execution of orderly electricity consumption within a day as described in any one of claims 1 to 3.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the method for evaluating the execution of orderly electricity consumption within a day as described in any one of claims 1 to 3.

Images