A User Assessment and Evaluation Method and System for Integrated Power Distribution Network Management

Abstract

This invention discloses a user assessment and evaluation method and system for comprehensive distribution network power management, relating to the field of data processing. The method includes: inputting a preset distribution network circuit topology into a PSCAD electromagnetic transient simulation module to obtain a distribution network power simulation model; constructing a practical process learning module and a practical process assessment module based on the distribution network power simulation model, according to a set of practical processes and a first weight distribution result; constructing a theoretical indicator learning module and a theoretical indicator assessment module based on a set of theoretical indicators and a second weight distribution result; performing learning and training based on the practical process learning module and the theoretical indicator learning module; and conducting user assessment based on the practical process assessment module and the theoretical indicator assessment module. This invention solves the technical problem in existing technologies where user assessment and evaluation for comprehensive distribution network power management lacks comprehensiveness and accuracy, resulting in poor user assessment and evaluation effects.

Description

Technical Field

[0001] This invention relates to the field of data processing, and more specifically, to a user assessment and evaluation method and system for comprehensive management of power distribution networks. Background Technology

[0002] With the increasing load on distribution networks, the demand for comprehensive management of distribution network power is constantly evolving. User evaluation is one of the important nodes in comprehensive management of distribution network power. Traditional user evaluation models for comprehensive management of distribution network power suffer from many drawbacks, such as high reliance on manual labor, strong subjectivity, and poor evaluation results. Researching and designing an intelligent user evaluation method for comprehensive management of distribution network power is of great practical significance.

[0003] Existing technologies suffer from a lack of comprehensiveness and accuracy in user assessment and evaluation for comprehensive power distribution network management, resulting in poor performance in these assessments. Summary of the Invention

[0004] This application provides a user assessment and evaluation method and system for comprehensive distribution network power management. It solves the technical problem in existing technologies where user assessment and evaluation for comprehensive distribution network power management lacks comprehensiveness and accuracy, resulting in poor assessment and evaluation outcomes. It achieves the technical effect of improving the comprehensiveness and accuracy of user assessment and evaluation for comprehensive distribution network power management through intelligent, reliable, and comprehensive user assessment and evaluation, thereby enhancing the overall quality of user assessment and evaluation for comprehensive distribution network power management.

[0005] In view of the above problems, this application provides a user assessment and evaluation method and system for comprehensive management of power distribution networks.

[0006] In a first aspect, this application provides a user assessment and evaluation method for comprehensive distribution network power management, wherein the method is applied to a user assessment and evaluation system for comprehensive distribution network power management, the method comprising: obtaining a preset distribution network circuit topology; inputting the preset distribution network circuit topology into a PSCAD electromagnetic transient simulation module to obtain a distribution network power simulation model; matching assessment indicators according to the preset distribution network circuit topology to obtain a set of practical processes and a set of theoretical indicators; traversing the set of practical processes and the set of theoretical indicators to perform weight distribution, obtaining a first weight distribution result and a second weight distribution result; constructing a practical process learning module and a practical process assessment module based on the set of practical processes and the first weight distribution result, and constructing a theoretical indicator learning module and a theoretical indicator assessment module based on the set of theoretical indicators and the second weight distribution result; performing learning and training according to the practical process learning module and the theoretical indicator learning module, and performing user assessment according to the practical process assessment module and the theoretical indicator assessment module.

[0007] Secondly, this application also provides a user assessment and evaluation system for comprehensive management of power distribution networks, wherein the system includes: a topology acquisition module for acquiring a preset power distribution network circuit topology; a simulation model acquisition module for inputting the preset power distribution network circuit topology into a PSCAD electromagnetic transient simulation module to acquire a power distribution network simulation model; an assessment indicator matching module for matching assessment indicators according to the preset power distribution network circuit topology to acquire a set of practical processes and a set of theoretical indicators; and a weight distribution module for traversing the set of practical processes and the set of theoretical indicators. The system comprises: a weight distribution module, which obtains a first weight distribution result and a second weight distribution result; a first construction module, which constructs a practical process learning module and a practical process assessment module based on the practical process set and the first weight distribution result, and on the power distribution network simulation model; a second construction module, which constructs a theoretical indicator learning module and a theoretical indicator assessment module based on the theoretical indicator set and the second weight distribution result; and a user assessment module, which performs learning and training based on the practical process learning module and the theoretical indicator learning module, and performs user assessment based on the practical process assessment module and the theoretical indicator assessment module.

[0008] Thirdly, this application also provides an electronic device, including: a memory for storing executable instructions; and a processor for executing the executable instructions stored in the memory to implement the user assessment and evaluation method for comprehensive power distribution network management provided in this application.

[0009] Fourthly, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a user assessment and evaluation method for comprehensive power distribution network management provided in this application.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] The PSCAD electromagnetic transient simulation module is used to simulate and model a preset distribution network circuit topology, obtaining a distribution network power simulation model. Assessment indicators are matched using the preset distribution network circuit topology to obtain a set of practical processes and a set of theoretical indicators. Weight distributions are performed on the practical process set and the theoretical indicator set to obtain a first weight distribution result and a second weight distribution result. Based on the practical process set and the first weight distribution result, a practical process learning module and a practical process assessment module are constructed based on the distribution network power simulation model. Similarly, a theoretical indicator learning module and a theoretical indicator assessment module are constructed based on the theoretical indicator set and the second weight distribution result. Learning and training are conducted using the practical process learning module and the theoretical indicator learning module, and user assessments are performed using the practical process assessment module and the theoretical indicator assessment module. This achieves the technical effect of improving the comprehensiveness and accuracy of user assessments for distribution network power comprehensive management through intelligent, reliable, and comprehensive user assessment, thereby enhancing the quality of user assessments for distribution network power comprehensive management.

[0012] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Obviously, the drawings described below only relate to some embodiments of this disclosure and are not intended to limit this disclosure.

[0014] Figure 1 This is a flowchart illustrating a user assessment and evaluation method for comprehensive power distribution network management according to this application.

[0015] Figure 2 This is a flowchart illustrating the process of obtaining a power simulation model for a distribution network in a user assessment and evaluation method for comprehensive power management of a distribution network, as described in this application.

[0016] Figure 3 This is a schematic diagram of the user assessment and evaluation system for integrated power management in a distribution network, as described in this application.

[0017] Figure 4This is a schematic diagram of the structure of an exemplary electronic device of this application.

[0018] Explanation of reference numerals in the attached figures: Topology acquisition module 11, Simulation model acquisition module 12, Assessment index matching module 13, Weight distribution module 14, First construction module 15, Second construction module 16, User assessment module 17, Processor 31, Memory 32, Input device 33, Output device 34. Detailed Implementation

[0019] This application provides a user assessment and evaluation method and system for comprehensive distribution network power management. It solves the technical problem in existing technologies where user assessment and evaluation for comprehensive distribution network power management lacks comprehensiveness and accuracy, resulting in poor assessment and evaluation outcomes. The application achieves the technical effect of improving the comprehensiveness and accuracy of user assessment and evaluation for comprehensive distribution network power management through intelligent, reliable, and comprehensive user assessment and evaluation, thereby enhancing the overall quality of user assessment and evaluation.

[0020] Example 1

[0021] Please see the appendix Figure 1 This application provides a user assessment and evaluation method for comprehensive power distribution network management. The method is applied to a user assessment and evaluation system for comprehensive power distribution network management, and specifically includes the following steps:

[0022] Step S100: Obtain the preset distribution network circuit topology;

[0023] Specifically, the user assessment and evaluation system for comprehensive distribution network power management described in this application is connected to the system, and its circuit topology is queried to obtain a preset distribution network circuit topology. The preset distribution network circuit topology includes the power equipment distribution characteristics, circuit distribution characteristics, and other structural information of any distribution network circuit used for intelligent user assessment through the aforementioned user assessment and evaluation system for comprehensive distribution network power management.

[0024] Step S200: Input the preset distribution network circuit topology into the PSCAD electromagnetic transient simulation module to obtain the distribution network power simulation model;

[0025] Further details are attached. Figure 2 As shown, step S200 of this application further includes:

[0026] Step S210: Based on the preset distribution network circuit topology, obtain the power equipment distribution characteristics and circuit distribution characteristics;

[0027] Step S220: Input the circuit distribution characteristics and the power equipment distribution characteristics into the PSCAD electromagnetic transient simulation module to obtain the power distribution network simulation model.

[0028] Specifically, power equipment distribution characteristics and circuit distribution characteristics are extracted from a preset distribution network circuit topology. These characteristics are then input into a PSCAD electromagnetic transient simulation module to obtain a distribution network power simulation model. The power equipment distribution characteristics include the type, model, control parameters, location, and control indicators of the power equipment in the preset distribution network circuit topology. The circuit distribution characteristics include circuit structure information such as the composition and connection methods of the circuit components corresponding to the preset distribution network circuit topology. The PSCAD electromagnetic transient simulation module is included in the user assessment and evaluation system for comprehensive distribution network power management. This module utilizes the existing PSCAD electromagnetic transient simulation software with digital simulation calculation capabilities. PSCAD can simulate and model the circuit distribution characteristics and power equipment distribution characteristics. The distribution network power simulation model includes simulation models corresponding to the power equipment distribution characteristics and circuit characteristics. The technology achieves the goal of simulating and modeling the preset distribution network circuit topology using the PSCAD electromagnetic transient simulation module, obtaining a distribution network power simulation model, thereby improving the comprehensiveness of user assessment of distribution network power integrated management.

[0029] Step S300: Match the assessment indicators according to the preset distribution network circuit topology to obtain the practical process set and theoretical indicator set;

[0030] Furthermore, step S300 of this application also includes:

[0031] Step S310: Perform practical assessment index matching based on the preset distribution network circuit topology and obtain the practical assessment index matching result;

[0032] Furthermore, step S310 of this application also includes:

[0033] Step S311: Input the preset distribution network circuit topology into the private domain blockchain to obtain the topic database, wherein the practical scenarios of the topic database belong to the preset distribution network circuit topology.

[0034] Step S312: Obtain the preset convergence period and the preset number of convergence indices;

[0035] Step S313: Based on the outline database, obtain the i-th quasi-practical assessment indicator, wherein the i-th quasi-practical assessment indicator includes the trigger frequency of the i-th quasi-practical assessment indicator and the accident correlation degree of the i-th quasi-practical assessment indicator;

[0036] Step S314: Set a first weight parameter for the triggering frequency, set a second weight parameter for the accident correlation, and sum the triggering frequency of the i-th quasi-practical assessment indicator and the accident correlation of the i-th quasi-practical assessment indicator to obtain the matching degree of the i-th quasi-practical assessment indicator.

[0037] Step S315: Filter the maximum value of the matching degree of the i-th quasi-practical assessment indicator and the matching degree of the (i-1)-th quasi-practical assessment indicator, and set the i-th quasi-practical assessment indicator or the (i-1)-th quasi-practical assessment indicator as the winning particle in the i-th comparison.

[0038] Step S316: When i satisfies the preset convergence period, the winning particle of the i-th comparison is set as the winning practical assessment index of the j-th period, the winning practical assessment index of the j-th period is added to the practical assessment index matching result, and other subsequent period matching is skipped when they are encountered, and matching stops when j satisfies the preset convergence index number.

[0039] Specifically, a preset distribution network circuit topology is used as input information and input into a private blockchain to obtain a question outline database. The private blockchain includes a question outline data blockchain jointly formed by multiple power grid companies. The question outline database includes multiple practical assessment indicators for multiple practical scenarios. Furthermore, the multiple practical scenarios in the question outline database belong to the preset distribution network circuit topology. Then, multiple practical assessment indicators in the question outline database are randomly selected to obtain the i-th quasi-practical assessment indicator. The i-th quasi-practical assessment indicator includes its trigger frequency and accident correlation degree. The i-th quasi-practical assessment indicator is any practical assessment indicator in the question outline database. The trigger frequency of the i-th quasi-practical assessment indicator includes the frequency parameter of the i-th quasi-practical assessment indicator being selected in assessments within a preset time interval in the private blockchain. The accident correlation degree of the i-th quasi-practical assessment indicator includes the frequency parameter of accidents caused by improper operation of the i-th quasi-practical assessment indicator during power grid operation within the preset time interval in the private blockchain. Subsequently, based on the first weight parameter and the second weight parameter, a weighted calculation is performed on the trigger frequency and the accident correlation degree of the i-th quasi-practical assessment indicator to obtain the matching degree of the i-th quasi-practical assessment indicator. For example, the first weight parameter is multiplied by the trigger frequency of the i-th quasi-practical assessment indicator to obtain the first weighted calculation result. The second weight parameter is multiplied by the accident correlation degree of the i-th quasi-practical assessment indicator to obtain the second weighted calculation result. The sum of the first weighted calculation result and the second weighted calculation result is output as the matching degree of the i-th quasi-practical assessment indicator.

[0040] Furthermore, multiple practical assessment indicators from the syllabus database are randomly selected again to obtain the (i-1)th quasi-practical assessment indicator. The matching degree of the (i-1)th quasi-practical assessment indicator is then calculated to obtain its matching degree. The methods for obtaining the (i-1)th quasi-practical assessment indicator and its matching degree are the same as those for obtaining the ith quasi-practical assessment indicator and its matching degree, and will not be repeated here for the sake of brevity. Next, the maximum values ​​of the matching degrees of the ith and (i-1)th quasi-practical assessment indicators are selected, and the ith or (i-1)th quasi-practical assessment indicator corresponding to the maximum value is set as the winning particle in the ith comparison. The winning particle in the ith comparison is iteratively optimized until i satisfies the preset convergence period. The winning particle in the ith comparison that satisfies the preset convergence period is then set as the winning practical assessment indicator for the j-th period. The winning practical assessment indicator for cycle j is added to the practical assessment indicator matching results. Then, practical assessment indicator matching continues based on the question outline database. Subsequent cycle matching skips the winning practical assessment indicator for cycle j when it is encountered, and matching stops when j meets the preset number of convergence indicators.

[0041] The first and second weight parameters can be adaptively set and determined. The preset convergence period includes the selected period of multiple practical assessment indicators in the pre-set question outline database. The winning practical assessment indicator of the j-th period includes the winning particle of the i-th comparison that meets the preset convergence period. The practical assessment indicator matching result includes multiple practical assessment indicator parameters and multiple practical assessment indicator matching degrees corresponding to the multiple practical assessment indicator parameters. The multiple practical assessment indicator parameters include multiple winning practical assessment indicators of the period that meet the preset number of convergence indicators. The preset number of convergence indicators includes a preset threshold for the number of practical assessment indicators in the practical assessment indicator matching result. This achieves the technical effect of accurately and efficiently matching practical assessment indicators through the question outline database, obtaining reliable and highly adaptable practical assessment indicator matching results, thereby improving the accuracy of user assessment for comprehensive power distribution network management.

[0042] Step S320: Perform theoretical assessment index matching based on the preset distribution network circuit topology and obtain the theoretical assessment index matching results;

[0043] Step S330: Send the matching results of the practical assessment indicators and the matching results of the theoretical assessment indicators to the first management personnel for adjustment, and obtain the practical process set and the theoretical indicator set.

[0044] Specifically, the syllabus database also includes multiple theoretical assessment indicators. Theoretical assessment indicators are matched based on the syllabus database to obtain matching results. These matching results include multiple theoretical assessment indicator parameters and their corresponding matching degrees. The method for obtaining the theoretical assessment indicator matching results is the same as that for practical assessment indicator matching results, and will not be repeated here for brevity. Then, the practical and theoretical assessment indicator matching results are sent to the first management personnel. The first management personnel arrange the practical and theoretical assessment indicator matching results according to the matching degrees of the multiple practical and theoretical assessment indicators, obtaining a practical process set and a theoretical indicator set. The first management personnel can be any manager in the user assessment and evaluation system for comprehensive distribution network power management. The practical process set includes multiple practical assessment indicator parameters arranged according to their matching degrees. The higher the matching degree, the higher the corresponding practical assessment indicator parameter appears. The theoretical indicator set includes multiple theoretical assessment indicator parameters arranged according to their matching degrees. This achieved the technical goal of establishing a set of practical processes and theoretical indicators, laying the foundation for the subsequent construction of learning and assessment modules.

[0045] Step S400: Traverse the set of practical processes and the set of theoretical indicators to perform weight distribution, and obtain the first weight distribution result and the second weight distribution result;

[0046] Furthermore, step S400 of this application also includes:

[0047] Step S410: Traverse the set of practical processes to obtain the matching degree of practical process indicators;

[0048] Step S420: Traverse the set of practical processes, calculate the matching degree ratio based on the matching degree of the practical process indicators, and set it as the first weight distribution result;

[0049] Step S430: Traverse the theoretical index set to obtain the theoretical index matching degree;

[0050] Step S440: Traverse the theoretical index set, calculate the matching degree ratio based on the matching degree of the theoretical index, and set it as the second weight distribution result.

[0051] Specifically, based on the practical process set, the matching degree of practical process indicators is obtained, and the matching degree ratio of the practical process indicator matching degree is calculated to obtain the first weight distribution result. The matching degree of practical process indicators includes the matching degree of multiple practical assessment indicators. The first weight distribution result includes multiple practical matching degree ratio coefficients. For example, when obtaining multiple practical matching degree ratio coefficients, the matching degrees of multiple practical assessment indicators are summed to obtain the total practical matching degree. The ratios of the matching degrees of multiple practical assessment indicators to the total practical matching degree are calculated to obtain multiple practical matching degree ratio coefficients. The multiple practical matching degree ratio coefficients include multiple ratios between the matching degrees of multiple practical assessment indicators and the total practical matching degree.

[0052] Furthermore, based on the theoretical indicator set, the theoretical indicator matching degree is obtained, and the matching degree ratio is calculated to obtain the second weight distribution result. The theoretical indicator matching degree includes the matching degree of multiple theoretical assessment indicators. The second weight distribution result includes multiple theoretical matching degree ratio coefficients. For example, when obtaining multiple theoretical matching degree ratio coefficients, the matching degrees of multiple theoretical assessment indicators are summed to obtain the total theoretical matching degree. Multiple ratios between the matching degrees of multiple theoretical assessment indicators and the total theoretical matching degree are output as multiple theoretical matching degree ratio coefficients. This achieves the technical effect of obtaining the first and second weight distribution results by performing indicator weight analysis on the practical process set and the theoretical indicator set, providing data support for the subsequent construction of learning and assessment modules.

[0053] Step S500: Based on the practical process set and the first weight distribution result, and based on the power distribution network simulation model, construct a practical process learning module and a practical process assessment module;

[0054] Furthermore, step S500 of this application also includes:

[0055] Step S510: Traverse the set of practical processes, perform standard operation simulation based on the power distribution network simulation model, and obtain the baseline state of the power distribution network simulation.

[0056] Step S520: Collect power distribution network simulation status record data according to the aforementioned practical process set;

[0057] Step S530: Based on the preset total score of the practical process, traverse the set of practical processes according to the first weight distribution result to perform score matching and obtain the practical process score matching result;

[0058] Step S540: Based on the distribution network simulation status record data, the distribution network simulation baseline status, and the actual operation process score matching result, a scoring label is generated to obtain the actual operation process scoring label data;

[0059] Step S550: Train the practical process scoring model based on the power distribution network simulation status record data and the practical process scoring identifier data;

[0060] Step S560: Based on the power distribution network simulation model and the practical operation process scoring model, construct the practical operation process learning module and the practical operation process assessment module.

[0061] Specifically, the standard operation simulation of the distribution network power simulation model is performed by traversing the set of practical operation processes to obtain the baseline state of the distribution network simulation. Simulation record information is collected based on the set of practical operation processes to obtain distribution network simulation state record data. Then, the first weight distribution results are matched with the preset total score of the practical operation processes to obtain the practical operation process score matching result. Based on the practical operation process score matching result and the baseline state of the distribution network simulation, the distribution network simulation state record data is scored and labeled to obtain practical operation process score label data. Subsequently, the distribution network simulation state record data and the practical operation process score label data are continuously self-trained and learned until convergence to obtain the practical operation process scoring model. Based on the distribution network power simulation model, a practical operation process learning module is obtained. Based on the practical operation process scoring model, a practical operation process assessment module is obtained.

[0062] The distribution network simulation baseline state includes multiple simulation standard states and multiple standard simulation working parameters of the distribution network power simulation model obtained by performing standard operation simulations on the distribution network power simulation model according to the practical process set. The distribution network simulation state record data includes multiple historical simulation record data of the distribution network power simulation model corresponding to the practical process set. The preset total score of the practical process includes a pre-set and determined total score for the practical process. The practical process score matching result includes multiple practical scores corresponding to multiple practical assessment indicator parameters. Multiple practical scores include multiple products between the preset total score of the practical process and multiple practical matching degree ratio coefficients in the first weight distribution result. The practical process scoring identifier data includes multiple scoring parameters corresponding to the distribution network simulation state record data. For example, the smaller the deviation between the distribution network simulation state record data and the distribution network simulation baseline state, the larger the corresponding scoring parameter, and the closer the scoring parameter is to the corresponding practical process score matching result. The practical process scoring model includes an input layer, a hidden layer, and an output layer. The input information of the practical operation process scoring model is the distribution network simulation status data during user assessment, and the output information is the practical operation process evaluation score for the user assessment. The practical operation process learning module includes a distribution network power simulation model. The practical operation process assessment module includes a practical operation process scoring model. This achieves the technical effect of improving the comprehensiveness of user assessment for distribution network power integrated management by constructing a practical operation process learning module and a practical operation process assessment module through a set of practical operation processes, the first weight distribution results, and the distribution network power simulation model.

[0063] Step S600: Based on the theoretical indicator set and the second weight distribution result, construct a theoretical indicator learning module and a theoretical indicator assessment module;

[0064] Furthermore, step S600 of this application also includes:

[0065] Step S610: Based on the preset total score of the theoretical indicators, the theoretical indicator set is traversed according to the second weight distribution result to perform score matching and obtain the theoretical indicator score matching result;

[0066] Step S620: Traverse the theoretical index set to obtain the standard answers for the theoretical indexes;

[0067] Step S630: Construct a theoretical indicator scoring module based on the matching results of the theoretical indicator standard answer and the theoretical indicator score;

[0068] Step S640: Based on the theoretical indicator scoring module, construct the theoretical indicator learning module and the theoretical indicator assessment module.

[0069] Step S700: Conduct learning and training based on the practical process learning module and the theoretical index learning module, and conduct user assessment based on the practical process assessment module and the theoretical index assessment module.

[0070] Specifically, the theoretical indicator score is matched against the second weight distribution result based on the preset total score of the theoretical indicator to obtain the theoretical indicator score matching result. The standard answers are collected by traversing the theoretical indicator set to obtain the theoretical indicator standard answers. Then, a theoretical indicator scoring module is constructed based on the theoretical indicator standard answers and the theoretical indicator score matching result. Based on the theoretical indicator scoring module, a theoretical indicator learning module and a theoretical indicator assessment module are constructed. Learning and training are conducted using the practical process learning module and the theoretical indicator learning module, and user assessment is conducted using the practical process assessment module and the theoretical indicator assessment module. The preset total score of the theoretical indicator includes a pre-set and determined total score for the theoretical indicator. The theoretical indicator score matching result includes multiple theoretical scores corresponding to multiple theoretical assessment indicator parameters. Multiple theoretical scores include multiple products between the preset total score of the theoretical indicator and multiple theoretical matching degree ratio coefficients in the second weight distribution result. The theoretical indicator standard answers include multiple standard answer information corresponding to multiple theoretical assessment indicator parameters. The theoretical indicator scoring module includes the theoretical indicator standard answers and the theoretical indicator score matching result. The theoretical indicator learning module includes a theoretical indicator scoring module for learning and training. The theoretical indicator assessment module includes a theoretical indicator scoring module for assessment. The technology has achieved the goal of improving the quality of user assessments for comprehensive power distribution network management by conducting learning and training through practical process learning modules and theoretical indicator learning modules, and conducting user assessments based on practical process assessment modules and theoretical indicator assessment modules.

[0071] In summary, the user assessment and evaluation method for comprehensive power distribution network management provided in this application has the following technical effects:

[0072] 1. A simulated model of the pre-defined distribution network circuit topology is created using the PSCAD electromagnetic transient simulation module to obtain a distribution network power simulation model. Performance indicators are matched using the pre-defined distribution network circuit topology to obtain a set of practical processes and a set of theoretical indicators. Weight distributions are performed on the practical process set and the theoretical indicator set to obtain a first weight distribution result and a second weight distribution result. Based on the practical process set and the first weight distribution result, a practical process learning module and a practical process assessment module are constructed based on the distribution network power simulation model. Similarly, a theoretical indicator learning module and a theoretical indicator assessment module are constructed based on the theoretical indicator set and the second weight distribution result. Learning and training are conducted using the practical process learning module and the theoretical indicator learning module, and user assessments are performed using these modules. This achieves the technical effect of improving the comprehensiveness and accuracy of user assessments for distribution network power comprehensive management through intelligent, reliable, and comprehensive user assessment, thereby enhancing the quality of user assessments for distribution network power comprehensive management.

[0073] 2. The preset distribution network circuit topology is simulated and modeled using the PSCAD electromagnetic transient simulation module to obtain the distribution network power simulation model, thereby improving the comprehensiveness of user assessment of distribution network power comprehensive management.

[0074] 3. By using the question outline database to accurately and efficiently match practical assessment indicators, reliable and highly adaptable practical assessment indicator matching results can be obtained, thereby improving the accuracy of user assessment for comprehensive power distribution network management.

[0075] Example 2

[0076] Based on the user assessment and evaluation method for comprehensive distribution network power management described in the foregoing embodiments, and using the same inventive concept, this invention also provides a user assessment and evaluation system for comprehensive distribution network power management. Please refer to the appendix. Figure 3 The system includes:

[0077] Topology acquisition module 11, the topology acquisition module 11 is used to acquire a preset distribution network circuit topology;

[0078] Simulation model acquisition module 12 is used to input the preset distribution network circuit topology into the PSCAD electromagnetic transient simulation module to acquire the distribution network power simulation model.

[0079] The assessment indicator matching module 13 is used to match assessment indicators according to the preset distribution network circuit topology to obtain the practical process set and the theoretical indicator set.

[0080] Weight distribution module 14 is used to traverse the practical process set and the theoretical index set to perform weight distribution, and obtain a first weight distribution result and a second weight distribution result.

[0081] The first construction module 15 is used to construct a practical process learning module and a practical process assessment module based on the distribution network power simulation model according to the practical process set and the first weight distribution result.

[0082] The second construction module 16 is used to construct a theoretical indicator learning module and a theoretical indicator assessment module based on the theoretical indicator set and the second weight distribution result.

[0083] User assessment module 17 is used to conduct learning and training based on the practical process learning module and the theoretical indicator learning module, and to conduct user assessment based on the practical process assessment module and the theoretical indicator assessment module.

[0084] Furthermore, the system also includes:

[0085] A distribution feature acquisition module is used to acquire power equipment distribution features and circuit distribution features based on the preset distribution network circuit topology.

[0086] The first execution module is used to input the circuit distribution characteristics and the power equipment distribution characteristics into the PSCAD electromagnetic transient simulation module to obtain the power distribution network simulation model.

[0087] Furthermore, the system also includes:

[0088] The practical assessment indicator matching result acquisition module is used to match practical assessment indicators according to the preset distribution network circuit topology and obtain the practical assessment indicator matching result.

[0089] Theoretical assessment indicator matching result acquisition module is used to perform theoretical assessment indicator matching based on the preset distribution network circuit topology and acquire theoretical assessment indicator matching results.

[0090] The second execution module is used to send the matching results of the practical assessment indicators and the matching results of the theoretical assessment indicators to the first management personnel for adjustment, and to obtain the practical process set and the theoretical indicator set.

[0091] Furthermore, the system also includes:

[0092] The topic outline database acquisition module is used to input the preset distribution network circuit topology into the private domain blockchain to acquire the topic outline database, wherein the practical scenario of the topic outline database belongs to the preset distribution network circuit topology.

[0093] The third execution module is used to obtain the preset convergence period and the preset number of convergence indicators.

[0094] The i-th quasi-practical assessment indicator acquisition module is used to acquire the i-th quasi-practical assessment indicator according to the question outline database. The i-th quasi-practical assessment indicator includes the trigger frequency of the i-th quasi-practical assessment indicator and the accident correlation degree of the i-th quasi-practical assessment indicator.

[0095] The module for obtaining the matching degree of the i-th quasi-practical assessment indicator is used to set a first weight parameter for the triggering frequency, set a second weight parameter for the accident correlation, and perform a summation operation on the triggering frequency and the accident correlation of the i-th quasi-practical assessment indicator to obtain the matching degree of the i-th quasi-practical assessment indicator.

[0096] The comparison of the winning particle acquisition module is used to filter the maximum value of the matching degree of the i-th quasi-practical assessment indicator and the matching degree of the (i-1)-th quasi-practical assessment indicator, and set the i-th quasi-practical assessment indicator or the (i-1)-th quasi-practical assessment indicator as the winning particle of the i-th comparison.

[0097] The fourth execution module is used to set the winning particle of the i-th comparison as the winning practical assessment indicator of the j-th period when i meets the preset convergence period, add the winning practical assessment indicator of the j-th period to the practical assessment indicator matching result, skip the matching in other subsequent periods, and stop matching when j meets the preset convergence indicator quantity.

[0098] Furthermore, the system also includes:

[0099] A practical process indicator matching degree acquisition module is used to traverse the practical process set and acquire the practical process indicator matching degree.

[0100] The first weight distribution result acquisition module is used to traverse the set of practical processes and calculate the matching degree ratio based on the matching degree of the practical process indicators, and set it as the first weight distribution result.

[0101] Theoretical indicator matching degree acquisition module, which is used to traverse the theoretical indicator set and acquire the theoretical indicator matching degree;

[0102] The second weight distribution result acquisition module is used to traverse the theoretical index set, calculate the matching degree ratio based on the matching degree of the theoretical index, and set it as the second weight distribution result.

[0103] Furthermore, the system also includes:

[0104] The distribution network simulation baseline state acquisition module is used to traverse the set of practical processes, perform standard operation simulation based on the distribution network power simulation model, and acquire the distribution network simulation baseline state.

[0105] The data acquisition module is used to collect data on the power distribution network simulation status based on the practical process set.

[0106] The score matching module is used to perform score matching by traversing the set of practical processes according to the first weight distribution result based on the preset total score of the practical process and to obtain the score matching result of the practical process.

[0107] The scoring and labeling module is used to perform scoring and labeling based on the distribution network simulation status record data, the distribution network simulation baseline status and the actual operation process score matching result, and to obtain the actual operation process scoring and labeling data.

[0108] The training module is used to train the practical process scoring model based on the distribution network simulation status record data and the practical process scoring identifier data.

[0109] The fifth execution module is used to construct the practical process learning module and the practical process assessment module based on the distribution network power simulation model and the practical process scoring model.

[0110] Furthermore, the system also includes:

[0111] The theoretical indicator score matching module is used to perform score matching by traversing the theoretical indicator set according to the second weight distribution result based on the preset total score of the theoretical indicators, and to obtain the theoretical indicator score matching result.

[0112] The standard answer acquisition module is used to traverse the theoretical indicator set and acquire the standard answers for the theoretical indicators.

[0113] The sixth execution module is used to construct a theoretical indicator scoring module based on the matching results of the theoretical indicator standard answer and the theoretical indicator score;

[0114] The seventh execution module is used to construct the theoretical indicator learning module and the theoretical indicator assessment module based on the theoretical indicator scoring module.

[0115] The user assessment and evaluation system for comprehensive power distribution network management provided in this embodiment of the invention can execute the user assessment and evaluation method for comprehensive power distribution network management provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0116] The modules included are divided according to functional logic, but are not limited to the above division, as long as they can achieve the corresponding functions; in addition, the specific names of each functional module are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0117] Example 3

[0118] Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention, showing a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present invention. Figure 4 The electronic device shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of the present invention. Figure 4 As shown, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 4 Taking a processor 31 as an example, the processor 31, memory 32, input device 33, and output device 34 in an electronic device can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0119] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the user assessment and evaluation method for comprehensive power distribution network management in this embodiment of the invention. The processor 31 executes various functional applications and data processing of the computer equipment by running the software programs, instructions, and modules stored in the memory 32, thereby realizing the aforementioned user assessment and evaluation method for comprehensive power distribution network management.

[0120] This application provides a user assessment and evaluation method for comprehensive distribution network power management. The method is applied to a user assessment and evaluation system for comprehensive distribution network power management. The method includes: simulating and modeling a preset distribution network circuit topology using a PSCAD electromagnetic transient simulation module to obtain a distribution network power simulation model; matching assessment indicators using the preset distribution network circuit topology to obtain a set of practical processes and a set of theoretical indicators; traversing the set of practical processes and the set of theoretical indicators to perform weight distribution, obtaining a first weight distribution result and a second weight distribution result; constructing a practical process learning module and a practical process assessment module based on the distribution network power simulation model, according to the set of practical processes and the first weight distribution result; constructing a theoretical indicator learning module and a theoretical indicator assessment module based on the theoretical indicator set and the second weight distribution result; performing learning and training based on the practical process learning module and the theoretical indicator learning module; and conducting user assessment based on the practical process assessment module and the theoretical indicator assessment module. This method solves the technical problem in existing technologies where the user assessment and evaluation for comprehensive distribution network power management lacks comprehensiveness and accuracy, resulting in poor user assessment and evaluation effects. The technology has achieved the goal of improving the comprehensiveness, accuracy, and quality of user assessment and evaluation of distribution network power management by conducting intelligent, reliable, and comprehensive user assessment and evaluation.

[0121] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A user assessment and evaluation method for comprehensive power distribution network management, characterized in that, include: Obtain the preset distribution network circuit topology; Input the preset distribution network circuit topology into the PSCAD electromagnetic transient simulation module to obtain the distribution network power simulation model; Based on the preset distribution network circuit topology, the assessment indicators are matched to obtain the set of practical processes and the set of theoretical indicators. The set of practical processes and the set of theoretical indicators are traversed to perform weight distribution, and the first weight distribution result and the second weight distribution result are obtained. Based on the practical process set and the first weight distribution result, a practical process learning module and a practical process assessment module are constructed based on the power distribution network simulation model. Based on the theoretical indicator set and the second weight distribution result, a theoretical indicator learning module and a theoretical indicator assessment module are constructed. Learning and training are conducted based on the practical process learning module and the theoretical indicator learning module, and user assessment is conducted based on the practical process assessment module and the theoretical indicator assessment module. The step of matching assessment indicators based on the preset distribution network circuit topology to obtain a set of practical processes and a set of theoretical indicators includes: Based on the preset distribution network circuit topology, the practical assessment indicators are matched, and the practical assessment indicator matching results are obtained. The theoretical assessment indicators are matched according to the preset distribution network circuit topology, and the theoretical assessment indicator matching results are obtained. The matching results of the practical assessment indicators and the matching results of the theoretical assessment indicators are sent to the first manager for adjustment, and the practical process set and the theoretical indicator set are obtained. The step of matching practical assessment indicators according to the preset distribution network circuit topology and obtaining the practical assessment indicator matching results includes: The preset distribution network circuit topology is input into the private domain blockchain to obtain the topic database, wherein the practical scenarios of the topic database belong to the preset distribution network circuit topology. Obtain the preset convergence period and the preset number of convergence metrics; Based on the outline database, obtain the i-th quasi-practical assessment indicator, wherein the i-th quasi-practical assessment indicator includes the trigger frequency of the i-th quasi-practical assessment indicator and the accident correlation degree of the i-th quasi-practical assessment indicator; A first weight parameter is set for the trigger frequency, and a second weight parameter is set for the accident correlation. The trigger frequency of the i-th quasi-practical assessment indicator and the accident correlation of the i-th quasi-practical assessment indicator are summed to obtain the matching degree of the i-th quasi-practical assessment indicator. The maximum value of the matching degree of the i-th quasi-practical assessment indicator and the matching degree of the (i-1)-th quasi-practical assessment indicator is selected, and the i-th quasi-practical assessment indicator or the (i-1)-th quasi-practical assessment indicator is set as the winning particle in the i-th comparison. When i satisfies the preset convergence period, the winning particle of the i-th comparison is set as the winning practical assessment index of the j-th period, the winning practical assessment index of the j-th period is added to the practical assessment index matching result, and other subsequent period matching is skipped when they are encountered, and matching stops when j satisfies the preset convergence index number. The step of traversing the practical process set and the theoretical index set to perform weight distribution and obtain a first weight distribution result and a second weight distribution result includes: Traverse the set of practical processes to obtain the matching degree of practical process indicators; Traverse the set of practical processes and calculate the matching degree ratio based on the matching degree of the practical process indicators, and set it as the first weight distribution result; Traverse the set of theoretical indicators to obtain the matching degree of the theoretical indicators; Traverse the theoretical indicator set, calculate the matching degree ratio based on the matching degree of the theoretical indicators, and set it as the second weight distribution result.

2. The method as described in claim 1, characterized in that, The step of inputting the preset distribution network circuit topology into the PSCAD electromagnetic transient simulation module to obtain the distribution network power simulation model includes: Based on the preset distribution network circuit topology, obtain the power equipment distribution characteristics and circuit distribution characteristics; The circuit distribution characteristics and the power equipment distribution characteristics are input into the PSCAD electromagnetic transient simulation module to obtain the power distribution network simulation model.

3. The method as described in claim 1, characterized in that, The step of constructing a practical skills learning module and a practical skills assessment module based on the practical skills set and the first weight distribution result, and on the basis of the power distribution network simulation model, includes: Traverse the set of practical processes, perform standard operation simulation based on the power distribution network simulation model, and obtain the baseline state of the power distribution network simulation. Based on the aforementioned practical process set, collect data recording the power distribution network simulation status; Based on the preset total score of the practical process, the practical process set is traversed according to the first weight distribution result to perform score matching and obtain the practical process score matching result. Based on the distribution network simulation status record data, the distribution network simulation baseline status and the actual operation process score matching results, a scoring label is generated to obtain the actual operation process scoring label data. Based on the power distribution network simulation status record data and the actual operation process scoring identifier data, train the actual operation process scoring model; Based on the power distribution network simulation model and the practical operation process scoring model, the practical operation process learning module and the practical operation process assessment module are constructed.

4. The method as described in claim 1, characterized in that, The step of constructing a theoretical indicator learning module and a theoretical indicator assessment module based on the theoretical indicator set and the second weight distribution result includes: Based on the preset total score of the theoretical indicators, the theoretical indicator set is traversed according to the second weight distribution result to perform score matching and obtain the theoretical indicator score matching result. Traverse the set of theoretical indicators to obtain the standard answers for the theoretical indicators; Based on the matching results of the standard answers and scores of the theoretical indicators, a theoretical indicator scoring module is constructed; Based on the theoretical indicator scoring module, construct the theoretical indicator learning module and the theoretical indicator assessment module.

5. A user assessment and evaluation system for comprehensive power distribution network management, characterized in that, The system includes: A topology acquisition module, which is used to acquire a preset distribution network circuit topology; The simulation model acquisition module is used to input the preset distribution network circuit topology into the PSCAD electromagnetic transient simulation module to obtain the distribution network power simulation model. The assessment indicator matching module is used to match assessment indicators according to the preset distribution network circuit topology to obtain the practical process set and the theoretical indicator set. The weight distribution module is used to traverse the practical process set and the theoretical index set to perform weight distribution and obtain a first weight distribution result and a second weight distribution result. The first construction module is used to construct a practical process learning module and a practical process assessment module based on the distribution network power simulation model, according to the practical process set and the first weight distribution result. The second construction module is used to construct a theoretical indicator learning module and a theoretical indicator assessment module based on the theoretical indicator set and the second weight distribution result. The user assessment module is used to conduct learning and training based on the practical process learning module and the theoretical indicator learning module, and to conduct user assessment based on the practical process assessment module and the theoretical indicator assessment module. The step of matching assessment indicators based on the preset distribution network circuit topology to obtain a set of practical processes and a set of theoretical indicators includes: Based on the preset distribution network circuit topology, the practical assessment indicators are matched, and the practical assessment indicator matching results are obtained. The theoretical assessment indicators are matched according to the preset distribution network circuit topology, and the theoretical assessment indicator matching results are obtained. The matching results of the practical assessment indicators and the matching results of the theoretical assessment indicators are sent to the first manager for adjustment, and the practical process set and the theoretical indicator set are obtained. The step of matching practical assessment indicators according to the preset distribution network circuit topology and obtaining the practical assessment indicator matching results includes: The preset distribution network circuit topology is input into the private domain blockchain to obtain the topic database, wherein the practical scenarios of the topic database belong to the preset distribution network circuit topology. Obtain the preset convergence period and the preset number of convergence metrics; Based on the outline database, obtain the i-th quasi-practical assessment indicator, wherein the i-th quasi-practical assessment indicator includes the trigger frequency of the i-th quasi-practical assessment indicator and the accident correlation degree of the i-th quasi-practical assessment indicator; A first weight parameter is set for the trigger frequency, and a second weight parameter is set for the accident correlation. The trigger frequency of the i-th quasi-practical assessment indicator and the accident correlation of the i-th quasi-practical assessment indicator are summed to obtain the matching degree of the i-th quasi-practical assessment indicator. The maximum value of the matching degree of the i-th quasi-practical assessment indicator and the matching degree of the (i-1)-th quasi-practical assessment indicator is selected, and the i-th quasi-practical assessment indicator or the (i-1)-th quasi-practical assessment indicator is set as the winning particle in the i-th comparison. When i satisfies the preset convergence period, the winning particle of the i-th comparison is set as the winning practical assessment index of the j-th period, the winning practical assessment index of the j-th period is added to the practical assessment index matching result, and other subsequent period matching is skipped when they are encountered, and matching stops when j satisfies the preset convergence index number. The step of traversing the practical process set and the theoretical index set to perform weight distribution and obtain a first weight distribution result and a second weight distribution result includes: Traverse the set of practical processes to obtain the matching degree of practical process indicators; Traverse the set of practical processes and calculate the matching degree ratio based on the matching degree of the practical process indicators, and set it as the first weight distribution result; Traverse the set of theoretical indicators to obtain the matching degree of the theoretical indicators; Traverse the theoretical indicator set, calculate the matching degree ratio based on the matching degree of the theoretical indicators, and set it as the second weight distribution result.

6. An electronic device, characterized in that, The electronic device includes: Memory, used to store executable instructions; The processor, when executing executable instructions stored in the memory, implements the user assessment and evaluation method for comprehensive power distribution network management as described in any one of claims 1 to 4.

7. A computer-readable medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements a user assessment and evaluation method for comprehensive power distribution network management as described in any one of claims 1 to 4.

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