红水河2024，Vol.43Issue(1)：91-95,115,6.DOI:10.3969/j.issn.1001-408X.2024.01.017
基于蝴蝶优化算法的电力系统故障诊断应用研究
Power System Fault Diagnosis Based on Butterfly Optimization Algorithm
摘要
Abstract
Aiming at the uncertainty of power system fault diagnosis and the problems of misoperation and rejection in the action information of protection switches and circuit breakers,the authors propose a power system fault diagnosis method based on butterfly optimization algorithm.The characteristics of fast solution of the target problem in the analytical big data model are analyzed.The preprocessing process of data introduction is given.By making full use of the reasoning ability of butterfly optimization algorithm in tracing,the fault hypothesis and diagnosis results are proposed by searching the power grid database according to the alarm information.The IEEE-39 node is used for verification and compared with the artificial neural network method.The results show that the proposed method has clearer objectives and faster convergence speed,which is suitable for fault diagnosis of power system with large network scale.关键词
故障诊断/电力系统/蝴蝶优化算法/故障识别/机器学习Key words
fault diagnosis/power system/butterfly optimization algorithm/fault identification/machine learning分类
信息技术与安全科学引用本文复制引用
王致诚,李致远,邵长春..基于蝴蝶优化算法的电力系统故障诊断应用研究[J].红水河,2024,43(1):91-95,115,6.基金项目
2021年度广西高校中青年教师科研基础能力提升项目(2021KY1392) （2021KY1392）
