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作 者:王燕[1] WANG Yan(Key Laboratory of Electronic Information of State Ethnic Affairs Commission,College of Electrical Engineering,Southwest Minzu University,Chengdu 610041,China)
机构地区:[1]西南民族大学电气工程学院国家民委重点实验室,四川成都610041
出 处:《电力系统保护与控制》2021年第13期174-186,共13页Power System Protection and Control
基 金:中央高校基本科研业务费专项资金资助(2020NQN04)。
摘 要:快速、准确、有效的电能质量扰动检测是电网故障分析与治理的前提和基础,在电力监测、电能质量评估及电网和用户的安全中扮演了重要角色。针对当前国内外相关研究成果进行整合归纳总结。首先,分析了电能质量扰动检测对象,归纳电能质量扰动检测的难点问题。其次,详细综述电能质量扰动检测方法的最新研究进展,将其分为时域分析、频域分析、时频域分析、参数估计、人工智能五大方面,并分别对这五个方面的方法进行讨论、对比分析各自利弊等。最后,指出暂态扰动及其组成的混合扰动检测方面存在的问题,并对今后的发展趋势进行展望。Fast,accurate and effective Power Quality Disturbance(PQD)detection is the requirement and foundation of power grid fault analysis and power quality improvement,and it plays an important role in the safety of the power grid and users,as well as in power quality assessment and power monitoring.The latest domestic and overseas related research results are summarized in this paper.First,the objects of PQD detection are analyzed,and the difficulties of PQD detection are summarized.Second,a detailed review of the latest research progress of PQD detection methods is presented.The research methods are divided into the five major aspects of time domain,frequency domain,and time-frequency domain analysis,parameter estimation and artificial intelligence.The advantages and disadvantages of the five aspects are discussed and compared.Finally,the problems existing in the detection of transients and PQDs are pointed out,and the trend of future development is described.
分 类 号:TM711[电气工程—电力系统及自动化]
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