Method for analyzing waveform in power system

By collecting and analyzing the waveform data of the power system in real time, using voltage transformers and current transformers to extract features and judge abnormal levels, the problem of inaccurate waveform analysis in traditional methods is solved, and the stability and reliability of the power system are improved.

CN120446565AInactive Publication Date: 2025-08-08国网安徽省电力有限公司岳西县供电公司 +1
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Patent Information

Application Number
CN202510422987.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-03
Publication Date
2025-08-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional power system monitoring methods are difficult to comprehensively and accurately analyze the waveform characteristics of the power system, resulting in untimely fault handling, affecting the reliability and stability of the system.

Method used

The voltage transformer and current transformer collect the power system waveform data in real time, extract the characteristics of the voltage and current waveforms, use preset thresholds to judge abnormalities and calculate the deviation rate, determine the abnormality level, and display the results for quick judgment and maintenance.

Benefits of technology

It realizes a comprehensive and accurate analysis of the waveform of the power system, improves the scientificity and timeliness of fault judgment, and enhances the stability and reliability of the system.

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Abstract

The invention relates to the technical field of electric power system analysis, and discloses a method for analyzing waveforms in an electric power system.The method comprises the steps of data collection, data preprocessing, feature extraction, comparative analysis and result display.The waveform data of multiple data points are collected in real time through a voltage transformer and a current transformer, the data accuracy is ensured, and the analysis accuracy is improved. Voltage and current waveform characteristics are comprehensively analyzed through feature extraction, and the monitoring accuracy is improved; comparing and analyzing, judging abnormity according to a preset threshold value and determining an accurate abnormity level, and clearly dividing normal and different risk levels by calculating a deviation rate and an analysis factor in combination with a preset abnormity factor threshold value set, so that related personnel can quickly know the risk degree to take measures; results are displayed visually and clearly, key data and risk levels are presented to related personnel, problems can be found in time, maintenance and repair are carried out, and the stability and reliability of the system are improved.
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