摘要
综述了目前应用较为广泛的基于智能技术的电网故障诊断方法,包括专家系统、人工神经网络、贝叶斯网络、优化技术、支持向量机、模糊集理论、Petri网、信息融合技术和多智能体技术。简单介绍了这些智能方法的基本概念,在电网故障诊断领域的研究现状,并从实用化的角度阐释了各自的特点和存在的不足,以及各自未来的发展情况。最后从电网故障诊断领域当前所面临的重要问题出发,探讨了该领域今后的发展趋势。
This paper reviews the intelligence methods that are applied widely for fault diagnosis of power networks, including expert system, artificial neural network, Bayesian network, optimization methods, support vector machine, fuzzy set theory, Petri net, information fusion of multi-data resources and multi-agent system. Their basic concepts and research status in power fault diagnosis domain are introduced. Their characteristics, disadvantages and development trends are elaborated from the aspects of practicability. Finally, this paper explores the development trend in future in the field of fault diagnosis according to the current problems in the field of grid fault diagnosis.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2014年第3期146-153,共8页
Power System Protection and Control
基金
黑龙江省青年科学基金(QC2010023)
黑龙江省普通高等学校青年学术骨干支持计划(1251G055)
黑龙江科技学院优秀青年才俊计划资助
关键词
电网
故障诊断
智能技术
研究现状
发展趋势
power network
fault diagnosis
intelligence method
research status
development trend
