摘要
综述了电力系统故障诊断的各种研究方法,包括专家系统、人工神经网络、优化技术、Petri 网络、粗糙集理论、模糊集理论和多代理技术等。简要分析了这些方法的特点与适用性,评述其存在的主要问题和值得改进之处。最后,以解决实际工程问题为目标,指出了该领域所需解决的关键技术问题和主要发展趋势,以促进该研究领域的进一步发展。
The current proposed methods for fault diagnosis of power systems, including expert system, artificial neural network, optimization method, Petri network, rough set theory, fuzzy set theory and multl-agent technology, are surveyed in this paper. The characteristics and applicability of those methods is briefly analyzed and also, the existing drawbacks and their improvements are given. Finally, several key technical issues and the main development trends of the topic are pointed out to solve the practical problems and motivate further developments.
出处
《电力系统自动化》
EI
CSCD
北大核心
2006年第8期98-103,共6页
Automation of Electric Power Systems
基金
国家自然科学基金重大项目资助(50595414)高等学校博士学科点基金资助项目(20030335003)~~
关键词
电力系统
故障诊断
人工智能
优化技术
多代理技术
power systems
fault diagnosis
artificial intelligence
optimization techniques
multi-agent system
