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综合智能式的故障恢复专家系统--与故障恢复算法集相结合的自学习模糊专家系统
引用本文:葛朝强,唐国庆,王磊. 综合智能式的故障恢复专家系统--与故障恢复算法集相结合的自学习模糊专家系统[J]. 电力系统自动化, 2000, 24(2): 17-21
作者姓名:葛朝强  唐国庆  王磊
作者单位:东南大学电气工程系,南京,210096
摘    要:提出了一种新的用于配电网故障后恢复供电的综合智能专家系统.该系统包括用于故障恢复的算法集(SRAS)、配电管理系统(DMS)的软模型、故障模式的识别和自学习的模糊恢复专家系统(SERFES).基于以上技术实现的故障后的恢复供电方案,对配电网络结构无依赖性,使用范围较广,能满足实时要求,可适用于大规模网络和多故障条件下的恢复供电.

关 键 词:故障恢复  模糊专家系统  启发式搜索  遗传算法  模式识别
修稿时间:1999-10-12

INTEGRATED INTELLIGENT SERVICE RESTORATION SYSTEM FOR DISTRIBUTION NETWORK--An Auto-Learning Fuzzy Expert System Combined with Service Restoration Algorithm Set
Ge Zhaoqiang,Tang Guoqing,Wang Lei. INTEGRATED INTELLIGENT SERVICE RESTORATION SYSTEM FOR DISTRIBUTION NETWORK--An Auto-Learning Fuzzy Expert System Combined with Service Restoration Algorithm Set[J]. Automation of Electric Power Systems, 2000, 24(2): 17-21
Authors:Ge Zhaoqiang  Tang Guoqing  Wang Lei
Abstract:This paper presents a newintegrated intelligent system to realize the fast service restoration after the fault zonehas been isolated in the distribution network. Its three basic parts, which are servicerestoration algorithm set (SRAS), software model of distribution management system (DMS),and service restoration fuzzy expert system (SERFES), are introduced. Under the help ofthis system, a fast service restoration scenario can be easily produced especially forlarge scale and multi-spots fault.
Keywords:service restoration: fuzzy expert system: heuristic search: genetic algolithm (GA). pattern recognition
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