Electric power system model and data quality evaluation method based on multilayer fuzzy method

Abstract

The invention provides an electric power system model and data quality evaluation method based on a multilayer fuzzy method. The method includes: obtaining electric power system basic information through acquisition of an electric power system basic model and data; establishing a multilevel evaluation index factor set of the electric power system basic information; performing weight distribution on the multilevel evaluation index factor set to obtain a multilevel evaluation index system; performing fuzzy mathematical calculation on the multilevel evaluation index system to obtain a fuzzy comprehensive assessment result; and assessing the electric power system basic model and the data. According to the method, the influence of the lack of basic information on the overall data quality evaluation is effectively avoided, the present situation that the state estimation cannot flexibly evaluate the electric power system basic data quality with multiple angles is solved, accurate and effective evaluation results and correction schemes are provided for the electric power system model and data quality, the completeness, the correctness, and the accuracy of an original model and the data re improved, and stable operation of an electric power system is guaranteed.

Description

technical field [0001] The invention relates to the field of power system automation, in particular to a power system model and data quality evaluation method based on a multi-layer fuzzy method. Background technique [0002] With the increasing complexity of the modern power system, the ever-expanding scale of the power grid puts forward higher requirements for the dispatching operation and control system. The important basis for realizing power system dispatching automation is to obtain or construct relatively complete and accurate power system models, parameters and measurement data, so that the dispatching automation system can obtain accurate online analysis and offline processing results to ensure safe, efficient and efficient power production. Economic Operation. The data required by the power dispatch automation system mainly involves basic data, monitoring data, planning data and analysis and evaluation data. The quality of data directly affects whether the system...

AI Technical Summary

Problems solved by technology

However, the existing state estimation evaluation indicators are relatively single, and the analysis results are limited to the qualification rate of the evaluation measurement data, which cannot fully reflect the data quality of the model and parameters of the power system, and the data difference is not high, so it cannot be accurately and precisely It reflects the quality of the basic data of the power system, and cannot distinguish the completeness, correctness and accuracy of the model and measurement data

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