CN-121983979-A - Safety influence assessment method and device based on data fuzzy hybrid modeling

CN121983979ACN 121983979 ACN121983979 ACN 121983979ACN-121983979-A

Abstract

The embodiment of the specification provides a safety influence assessment method and device based on data fuzzy hybrid modeling, wherein the method comprises the steps of analyzing load characteristics of a power system for a station, determining analysis results, constructing a three-phase power flow model under non-full-phase energy taking of a typical power system for the station based on the analysis results, constructing an unbalanced power flow three-phase imbalance analysis model of the power system for the station based on the three-phase power flow model, constructing a multi-dimensional safety assessment index of the power system for the station based on the three-phase power flow model, constructing a safety influence assessment model of the power system for the station under the data fuzzy hybrid modeling based on the three-phase imbalance analysis model and the safety assessment index, generating an assessment model based on parameters of the power system for the station and the safety influence assessment model, and determining the assessment results based on the assessment model. The influence of the electricity unbalance trend of the station on the system safety is accurately estimated, and guidance can be provided for the unbalance energy taking treatment of the electricity system of the station.

Inventors

SU WENDONG
XIE WENRUI
CHEN JIA
CAO WEIPING
WANG DI
ZHOU BIN
WANG XIN
YANG YONG
XU YONGJIU

Assignees

国网重庆市电力公司超高压分公司

Dates

Publication Date: 20260505
Application Date: 20260112

Claims (10)

1. A security impact assessment method based on data fuzzy hybrid modeling is characterized by comprising the following steps: analyzing the load characteristics of the station power system, and determining an analysis result; Constructing a three-phase power flow model of the typical station power system under non-full-phase energy taking based on the analysis result; constructing a station power utilization system unbalanced load flow three-phase imbalance resolution based on the three-phase load flow model; constructing a multi-dimensional safety evaluation index of a station power system based on the three-phase power flow model; constructing a data-fuzzy hybrid modeling lower station electricity unbalanced load flow influence evaluation model on system safety based on the three-phase unbalance resolution and the safety evaluation index; And generating an evaluation model based on the station power system parameters and the safety influence evaluation model, and determining an evaluation result based on the evaluation model.
2. The method of claim 1, wherein analyzing the power system load characteristics of the station, determining the analysis results, comprises: And carrying out station electric load energy taking characteristic analysis, station electric load power characteristic analysis and station electric load fluctuation characteristic analysis, and determining an analysis result.
3. The method of claim 1, wherein constructing a non-full phase energy extraction three-phase power flow model of a typical station electrical system based on the analysis results comprises: Based on the analysis result, carrying out characteristic analysis of a three-phase power flow equation of the traditional power system and network characteristic analysis of the station power system, and determining a three-phase time sequence power flow equation of the station power system; and modeling and determining a three-phase power flow model based on the three-phase time sequence power flow equation.
4. The method of claim 1, wherein constructing a station power system imbalance three-phase imbalance resolution based on the three-phase power flow model comprises: constructing a three-phase current imbalance resolution of the station power system based on the three-phase power flow model, and constructing a three-phase voltage imbalance resolution of the station power system; And determining a three-phase imbalance resolution based on the three-phase current imbalance resolution and the three-phase voltage imbalance resolution.
5. The method of claim 1, wherein constructing a multi-dimensional safety assessment index for a power system for a station based on the three-phase power flow model comprises: establishing a multi-dimensional safety evaluation model of the station power system based on the three-phase power flow model; establishing a multi-factor system security level matching table based on the multi-dimensional security assessment model; And constructing a multi-dimensional security evaluation index of the station power utilization system based on the multi-factor system security level matching table.
6. The method of claim 1, wherein constructing a data-fuzzy hybrid modeling lower station power consumption unbalanced load flow to system safety impact assessment model based on the three-phase imbalance resolution and the safety assessment index comprises: Establishing a time sequence fuzzy rule table based on the three-phase imbalance resolution and the safety evaluation index; And establishing a security influence evaluation model based on the time sequence fuzzy rule table.
7. The method of claim 1, wherein generating an assessment model based on the station electrical system parameters and the security impact assessment model comprises: based on actual station power utilization system parameters, calculating three-phase unbalanced load flow of the station power utilization system, and constructing a fuzzy database; and selecting typical data in a database to correct a membership function of the security influence evaluation model, so as to obtain an evaluation model based on data-fuzzy hybrid modeling.
8. A security impact assessment apparatus based on data fuzzy hybrid modeling, comprising: the load characteristic module is configured to analyze the load characteristic of the station power system and determine an analysis result; The power flow model module is configured to construct a three-phase power flow model of the typical station power system under non-full-phase energy taking based on the analysis result; the analysis construction module is configured to construct unbalanced power flow three-phase imbalance analysis of the power system for the station based on the three-phase power flow model; The index construction module is configured to construct a multi-dimensional safety evaluation index of the station power utilization system based on the three-phase power flow model; The model building module is configured to build a data-fuzzy hybrid modeling lower station electricity unbalanced load flow impact evaluation model on system safety based on the three-phase imbalance resolution and the safety evaluation index; and the model training module is configured to generate an evaluation model based on the station power system parameters and the safety influence evaluation model and determine an evaluation result based on the evaluation model.
9. A computing device, comprising: A memory and a processor; The memory is configured to store computer-executable instructions that, when executed by a processor, implement the steps of the data fuzzy hybrid modeling based security impact assessment method of any one of claims 1 to 7.
10. A computer-readable storage medium storing computer-executable instructions which, when executed by a processor, implement the steps of the data fuzzy hybrid modeling based security impact assessment method of any one of claims 1 to 7.

Description

Safety influence assessment method and device based on data fuzzy hybrid modeling Technical Field The embodiment of the specification relates to the technical field of electric power, in particular to a safety influence assessment method based on data fuzzy hybrid modeling. Background Along with the proposal of the unmanned target of the current transformer substation, a great deal of novel technologies such as 'one-key sequential control', 'intelligent inspection', 'digital twin', and the like are rapidly developed. The traditional conventional station gradually enters a new technology transformation stage for realizing an unattended operation target, the intelligent camera of the whole station is installed, the lighting system is installed with new and matched auxiliary equipment, and equipment facilities are supported by the station power utilization system. At present, since a large number of fluctuating loads are contained in the station, the symmetrical operation of the system is difficult to guarantee in real time in initial load planning, meanwhile, under the condition of continuous upgrading and reconstruction of equipment for many years, the current system operation power and the initial design difference are large, the asymmetric operation of the station power utilization system is serious, under the condition, the fact that the equipment used in unattended reconstruction is single-phase energy-taking equipment is considered, the quantity is large, the total energy-taking power is high, and the three-phase tide unbalance degree of the station power utilization system is aggravated. Under the unbalanced three-phase power flow operation of station power consumption, when the system is subjected to security reduction, whether the system is caused by unbalanced power flow influences the specific degree of the security problem, and whether unbalanced treatment is needed plays a guiding role. Therefore, how to accurately evaluate the influence of unbalanced power flow of the power utilization system of the station on the system safety at present so as to provide support for the unbalanced treatment of the power utilization system of the subsequent station becomes a problem to be solved. Currently, the evaluation problem of the influence of three-phase unbalance on the system safety is mainly divided into experience evaluation and data evaluation, wherein the experience evaluation is usually a field actual worker, the working experience and the operation data of field equipment are combined to make artificial subjective evaluation on the safety state of the current system, and then the influence degree of the system safety problem is combined to make considered subjective evaluation on the influence degree of the unbalanced tide, and the evaluation in the mode is accurately and completely dependent on the artificial experience. The data evaluation is usually that an evaluation system performs theoretical calculation on data such as voltage, current, equipment parameters and the like of the system, the physical mechanism of the method is clear, but all evaluation indexes refer to the unified international standard and have no pertinence. Considering different substations, the equipment types, the power consumption modes and the power quality are different, and the unified evaluation indexes are difficult to accurately describe the actual running state of the system. Therefore, how to combine the manual experience and the physical mechanism to accurately evaluate the influence of the unbalanced power flow of the station power consumption on the system safety in a multidimensional manner becomes a problem to be solved. Disclosure of Invention In view of this, the present specification embodiments provide a security impact assessment method based on data fuzzy hybrid modeling. One or more embodiments of the present specification relate to a security impact assessment apparatus, a computing device, a computer-readable storage medium, and a computer program based on data fuzzy hybrid modeling, to solve the technical drawbacks existing in the prior art. According to a first aspect of embodiments of the present specification, there is provided a security impact assessment method based on data fuzzy hybrid modeling, including: analyzing the load characteristics of the station power system, and determining an analysis result; constructing a three-phase power flow model of a typical station power system under non-full-phase energy taking based on an analysis result; Constructing a station power utilization system unbalanced load flow three-phase imbalance resolution based on the three-phase load flow model; constructing a multi-dimensional safety evaluation index of a station power system based on the three-phase tide model; Constructing a data-fuzzy hybrid modeling lower station electricity unbalanced load flow influence evaluation model on the system safety based on the three-phase imbalance resolution and the s