Abstract:Considering the multi-section fault, the mal-operation, and the refusal-operation of fault indicators often encountered at the time of fault addressing, we define a section which has the local maximal fault explanatory credibility as a peak and analyze the relationship between the fault explanatory credibility of sections and that of the corresponding treetop peaks. Therefore, the task is transformed from finding the section which has the maximal fault explanatory credibility to finding the corresponding the treetop peak with the maximal fault explanatory credibility. Meanwhile we propose an attaching peak algorithm so that all treetop peaks and inconsistent fault indicators can be easily deducted.
张炳达, 陈雄. 基于稍峰组的馈线故障寻址新方法[J]. 电工技术学报, 2016, 31(7): 102-106.
Zhang Bingda, Chen Xiong. A New Method of Feeder Fault Addressing Based on Treetop Peaks. Transactions of China Electrotechnical Society, 2016, 31(7): 102-106.
[1] 刘东,丁振华.配电自动化实用化关键技术及其进展[J].电力系统自动化,2004,28(7):16-19. Liu Dong,Ding Zhenhua.Key technology and its development in the practicability of distribution automation system[J].Automation of Electric Power Systems,2004,28(7):16-19. [2] 马士聪,高厚磊,徐丙垠,等.配电网故障定位技术综述[J].电力系统保护与控制,2009,37(11):119-124. Ma Shicong,Gao Houlei,Xu Bingyin,et al.A survey of fault location methods in distribution network[J].Power System Protection and Control,2009,37(11):119-124. [3] 林添顺.基于GPRS的新型配电网自动化通信系统设计及实用性分析[J].电力系统保护与控制,2008,36(19):44-47. Lin Tianshun.A new kind of communication system based on GPRS for power distribution and analysis of its practicability[J].Power System Protection and Control,2008,36(19):44-47. [4] 梅念,石东源,杨增力,等.一种实用的复杂配电网故障定位的矩阵算法[J].电力系统自动化,2007,31(10):66-70. Mei Nian,Shi Dongyuan,Yang Zengli,et al.A practical matrix-based fault location algorithm for complex distribution network[J].Automation of Electric Power Systems,2007,31(10):66-70. [5] 蒋秀洁,熊信银,吴耀武,等.改进矩阵算法及其在配电网故障定位中的应用[J].电网技术,2004,28(19):60-63. Jiang Xiujie,Xiong Xinyin,Wu Yaowu,et al.Improved matrix algorithm and its application in fault location of distribution network[J].Power System Technology,2004,28(19):60-63. [6] 马强,张利民,刘皓明.配电网故障区间判断的通用矩阵算法[J].电力系统保护与控制,2009,37(5):14-17. Ma Qiang,Zhang Limin,Liu Haoming.General matrix algorithm for fault section detection in distribution system[J].Power System Protection and Control,2009,37(5):14-17. [7] 郭壮志,陈波,刘灿萍,等.基于遗传算法的配电网故障定位[J].电网技术,2007,31(11):88-92. Guo Zhuangzhi,Chen Bo,Liu Canping,et al.Fault location of distribution network based on genetic algorithm[J].Power System Technology,2007,31(11):88-92. [8] 孙雅明,杜红卫,廖志伟.基于神经逻辑网络冗余纠错和FNN组合的配网高容错性故障定位[J].电工技术学报,2001,16(4):71-75,60. Sun Yaming,Du Hongwei,Liao Zhiwei.Fault section diagnosis with high fault tolerance performance for distribution networks based on the combination of neural logic network redundant error correct and FNN[J].Transactions of China Electrotechnical Society,2001,16(4):71-75,60. [9] 陈歆技,丁同奎,张钊.蚁群算法在配电网故障定位中的应用[J].电力系统自动化,2006,30(5):74-77. Chen Xinji,Ding Tongkui,Zhang Zhao.Ant colony algorithm for solving fault location in distribution networks[J].Automation of Electric Power Systems,2006,30(5):74-77. [10]李超文,何正友,张海平,等.基于二进制粒子群算法的辐射状配电网故障定位[J].电力系统保护与控制,2009,37(7):35-39. Li Chaowen,He Zhengyou,Zhang Haiping,et al.Fault location for radialized distribution networks based on BPSO algorithm[J].Power System Protection and Control,2009,37(7):35-39. [11]关龙,刘志刚,徐建芳,等.基于模型的配电网故障诊断关键问题研究[J].电力系统保护与控制,2012,40(20):145-150. Guan Long,Liu Zhigang,Xu Jianfang,et al.Key issues with model-based diagnosis in distribution network[J].Power System Protection and Control,2012,40(20):145-150. [12]张炳达,江滔.基于可信度的故障区段诊断方法[J].电力自动化设备,2012,32(4):72-75. Zhang Bingda,Jiang Tao.Approach of faulty section diagnosis based on creditability[J].Electric Power Automation Equipment,2012,32(4):72-75. [13]卫志农,何桦,郑玉平.配电网故障区间定位的高级遗传算法[J].中国电机工程学报,2002,22(4):127-130. Wei Zhinong,He Hua,Zheng Yuping.A refined genetic algorithm for the fault sections location[J].Proceedings of the CSEE,2002,22(4):127-130. [14]刘华婷,郭仁祥,姜浩.关联规则挖掘Apriori算法的研究与改进[J].计算机应用与软件,2009,26(1):146-147. Liu Huating,Guo Renxiang,Jiang Hao.Research and improvement of appiori algorithm for mining association rules[J].Computer Applications and Software,2009,26(1):146-147.