| 配电网故障诊断方法综述 |
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| 引用本文： | 侯玉.配电网故障诊断方法综述[J].云南水力发电,2007,23(4):13-17. |
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| 作者姓名： | 侯玉 |
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| 作者单位： | 昆明理工大学,电力工程学院,云南,昆明,650051 |
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| 摘 要： | 随着配电网的日趋复杂,对配电网故障诊断的要求也日益增强。作者以配电网为研究对象,简要介绍国内外目前配电网故障诊断的几种常用方法(专家系统、模糊理论、遗传算法、Petri网、人工神经网络、多代理系统、粗糙集理论、混合整数规划法、优化算法),比较了各种方法的优缺点并评价了这些算法的可行性及实际应用中存在的问题。
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| 关 键 词： | 配电网 故障诊断 比较 评价 |
| 文章编号： | 1006-3951（2007）04-0013-05 |
| 收稿时间： | 2007-04-24 |
| 修稿时间： | 2007-04-24 |
Summary of the Methods on Fault Diagnosis for Distribution Network |
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| HOU Yu-cheng,SHU Hong-chun.Summary of the Methods on Fault Diagnosis for Distribution Network[J].Yunnan Water Power,2007,23(4):13-17. |
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| Authors: | HOU Yu-cheng SHU Hong-chun |
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| Institution: | Faculty of Power Engineering, Kunming University of Science and Technology, Kunming 650051, Yunnan, China |
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| Abstract: | The request of the fault diagnosis for the distribution network is stronger when it increasingly complex.This paper introduces simply some arithmetics used on the fault diagnosis for the distribution network(including expert system;fuzzy theory;genetic algorithm;Petri net;artificial neural network;multi-agent system;rough set theory;mixed integer programming;optimized arithmetic).It compares and evaluates the possibility of these methods and the problems in the application. |
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| Keywords: | fault diagnosis distribution network expert system fuzzy theory genetic algorithm Petri net artificial neural network multi-agent system rough set theory mixed integer programming optimized arithmetic |
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