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基于小世界网络的双馈感应风力发电系统故障传播特性研究
引用本文:史金瑶,方瑞明,卢小芬,梁颖.基于小世界网络的双馈感应风力发电系统故障传播特性研究[J].高压电器,2013(2):25-29.
作者姓名:史金瑶  方瑞明  卢小芬  梁颖
作者单位:华侨大学信息科学与工程学院
基金项目:国家自然科学基金项目(51177039);福建省高等学校新世纪优秀人才支持计划项目(闽教科2010-24);华侨大学中央财政基本科研业务费专项基金(JB-ZR1125、JB-JC1008);国务院侨务办公室自然科学基金(2009QZR01)~~
摘    要:对双馈感应风力发电系统进行故障传播特性研究,能够找出故障传播的最高风险路径,为状态检修提供依据,从而降低双馈感应风力发电系统的综合维修成本,提高系统可靠性。为此,分析双馈感应风力发电系统的拓扑结构,引入小世界网络理论对其元部件间的故障传播关系进行建模。通过分析网络结构对故障传播的影响,确定故障传播的强度,利用优化算法求得故障传播最高风险路径,得出与实际运行情况相一致的结果。证明了该方法的有效性,为双馈感应风力发电系统的状态检修提供了重要依据。

关 键 词:双馈感应风力发电系统  故障传播模型  小世界网络  状态检修

Analysis on Failure Propagation Characteristics of Doubly-fed Induction Wind Power Generation System Based on Small-world Network
SHI Jin-yao,FANG Rui-ming,LU Xiao-fen,LIANG Ying.Analysis on Failure Propagation Characteristics of Doubly-fed Induction Wind Power Generation System Based on Small-world Network[J].High Voltage Apparatus,2013(2):25-29.
Authors:SHI Jin-yao  FANG Rui-ming  LU Xiao-fen  LIANG Ying
Affiliation:(College of Information Science and Engineering,Huaqiao University,Xiamen 362021,China)
Abstract:Analyzing failure propagation characteristics of doubly-fed wind power generation system can help to find out the highest risk path of failure propagation of doubly-fed wind power generation system to provide a basis for status-based maintenance of the system,thus to reduce the overall maintenance cost and improve the reliability of the system.In this paper,the topological structure of doubly-fed induction wind power generation system is analyzed,and a model of failure propagation relationship among the components of the system is established on the basis of the small-world network theory.Then,the failure propagation strength is given through analyzing the influence of the network structure on the failure propagation,and the highest risk path of failure propagation is ascertained by using optimization algorithm.The calculation results are consistent with the actual operation situation of the doubly-fed induction wind power generator.
Keywords:doubly-fed induction wind power generation system  failure propagation model  small world network  status-based maintenance
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