| 电力系统故障诊断的研究现状与发展趋势 |
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| 引用本文： | 郭创新,朱传柏,曹一家,吴欣.电力系统故障诊断的研究现状与发展趋势[J].电力系统自动化,2006,30(8):98-103. |
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| 作者姓名： | 郭创新 朱传柏 曹一家 吴欣 |
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| 作者单位： | 浙江大学电气工程学院,浙江省,杭州市,310027 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，广东省博士启动基金 |
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| 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.
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| 关 键 词： | 电力系统 故障诊断 人工智能 优化技术 多代理技术 |
| 收稿时间： | 1/1/1900 12:00:00 AM |
| 修稿时间： | 1/1/1900 12:00:00 AM |
State of Arts of Fault Diagnosis of Power Systems |
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| GUO Chuang-xin,ZHU Chuan-bai,CAO Yi-ji,WU Xin.State of Arts of Fault Diagnosis of Power Systems[J].Automation of Electric Power Systems,2006,30(8):98-103. |
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| Authors: | GUO Chuang-xin ZHU Chuan-bai CAO Yi-ji WU Xin |
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| Affiliation: | Zhejiang University, Hangzhou 310027, China |
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| Abstract: | 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. |
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| Keywords: | power systems fault diagnosis artificial intelligence optimization techniques multi-agent system |
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