Fault Diagnosis for Power Grids Based on Stochastic Self-Regulating Algorithm Under Disaster-Causing Weather

Author:

Wang Tao1,Liu Liyuan1,Ying Ruixuan2,Zhou Chunyu1

Affiliation:

1. Xihua University

2. Tohoku University Graduate School of Information Sciences: Tohoku Daigaku Daigakuin Joho Kagaku Kenkyuka

Abstract

Abstract

In recent years, due to shifts in the global climate and environment, a variety of extreme weather events have become more frequent, resulting in numerous accidents. The increased occurrence of extreme weather not only poses risks to the functioning of the power grid but also impacts the accuracy of power grid fault diagnosis outcomes. By integrating research on power grid fault risks during extreme weather events, this study introduces weather data and self-check information to develop a fault diagnosis approach for the power grid based on a random self-regulating algorithm. The fault diagnosis method comprises two main components: Firstly, an analytical model for fault diagnosis is constructed using alarm data, weather information, and self-check data from the affected power outage area. Three types of self-adjusting trust factors are incorporated into the model to enhance its fault diagnosis capabilities in the context of extreme weather events. Subsequently, a random self-regulating algorithm is applied to optimize the model and generate a hypothesis regarding the fault. Through a simulation test on a sample calculation, the results demonstrate that the fault diagnosis method exhibits robust fault tolerance towards abnormal operation of protective devices and inaccuracies in alarm data.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3