郑晨玲;朱革兰;

• 1:华南理工大学电力学院

摘要(Abstract)：

分布式的保护和控制系统因更符合智能配电网的结构特点和运行要求,成为未来配网控制系统的重要发展方向。以配电网的智能分布式控制模式为例,借鉴拜占庭一致性协议中的"投票"策略,建立了代数形式下的馈线状态与电流越限信息之间的因果关系模型,通过决策信息找出可能故障区段。最后用贝叶斯概率模型对可能故障区段进行评价,找出最能解释电流越限信息的馈线区段。该方法的优点在于:所提故障区段定位方法避免了集中式故障定位受限于信息传输距离和主站的信息处理能力的问题,对于含T型耦合节点的复杂配电网,提出的故障区段定位算法能够实现单重或多重故障区段的准确辨识,仿真结果表明,该算法具有较高的容错性能。

关键词(KeyWords)： 分布式控制模式;因果关系;贝叶斯概率模型

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 郑晨玲;朱革兰;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.0734

参考文献(References)：

• [1]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(in Chinese).
• [2]黄佳乐，杨冠鲁．配电网故障区间定位的改进矩阵算法[J]．电力系统保护与控制，2014,42(11):41-45.Huang Jiale,Yang Guanlu.Modified matrix algorithm for fault section location of distribution network[J].Power System Protection and Control,2014,42(11):41-45(in Chinese).
• [3]胡福年，孙守娟．基于图论的矩阵算法在配电网故障定位中的应用[J]．中国电力，2016,49(3):94-98.Hu Funian,Sun Shoujuan.Fault location of distribution network by applying matrix algorithm based on graph theory[J].Electric Power,2016,49(3):94-98(in Chinese).
• [4]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 Natrix algorithm and its application in fault location of distribution network[J].Power System Technology,2004,28(19):60-63(in Chinese).
• [5]翁蓝天，刘开培，刘晓莉，等．复杂配电网故障定位的链表法[J]．电工技术学报，2009,24(5):190-196.Weng Lantian,Liu Kaipei,Liu Xiaoli,et al.Chain table algorithm for fault location of complicated distribution network[J].Transactions of China Electrotechnical Society,2009,24(5):190-196(in Chinese).
• [6]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(in Chinese).
• [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(in Chinese).
• [8]郭壮志，吴杰康．配电网故障区间定位的仿电磁学算法[J]．中国电机工程学报，2010,30(13):34-40.Guo Zhuangzhi, Wu Jiekang. Electromagnetism-like mechanism based fault section diagnosis for distribution network[J].Proceedings of the CSEE,2010,30(13):34-40(in Chinese).
• [9]陈奎，张云，王洪寅，等．基于免疫算法的含分布式电源配电网的故障定位[J]．电力系统保护与控制，2017,45(24):57-62.Chen Kui,Zhang Yun,Wang Hongyan,et al.Fault-section location of distribution network containing distributed generation based on immune algorithm[J].Power System Protection and Control,2017,45(24):57-62(in Chinese).
• [10]刘蓓，汪沨，陈春，等．和声算法在含DG配电网故障定位中的应用[J]．电工技术学报，2013,28(5):280-284.Liu Bei,Wang Feng,Chen Chun,et al.Harmony search algorithm for solving fault location in distribution networks with DG[J].Transactions of China Electrotechnical Society,2013,28(5):280-286(in Chinese).
• [11]刘健，董新洲，陈星莺，等．配电网容错故障处理关键技术研究[J]．电网技术，2012,36(1):253-257.Liu Jian,Dong Xinzhou,Chen Xingying,et al.Robust fault isolation and restoration for distribution systems[J]. Power System Technology,2012,36(1):253-257(in Chinese).
• [12]郭壮志，徐其兴，洪俊杰，等．配电网快速高容错性故障定位的线性整数规划方法[J]．中国电机工程学报，2017,37(3):786-794.Guo Zhuangzhi,Xu Qixing,Hong Junjie,et al.Integer linear programming based fault section diagnosis method with high fault-tolerance and fast performance for distribution network[J].Proceedings of the CSEE,2017,37(3):786-794(in Chinese).
• [13]丛伟，路庆东，田崇稳，等．智能配电终端及其标准化建模[J]．电力系统自动化，2013,37(10):6-12.Cong Wei,Lu Qingdong,Tian Chongwen,et al.Smart distribution terminal unit and its standardized modeling[J].Automation of Electric Power Systems,2013,37(10):6-12(in Chinese).
• [14]刘健，赵倩，程红丽，等．配电网非健全信息故障诊断及故障处理[J]．电力系统自动化，2010,34(7):50-56.Liu Jian,Zhao Qian,Cheng Hongli,et al.Robust fault diagnosis and restoration for distribution grids[J].Automation of Electric Power Systems,2010,34(7):50-56(in Chinese).
• [15]虞坚阳，王科龙，秦勇明，等．主动配电网智能分布式馈线自动化故障定位方法[J]．南方电网技术，2016,10(12):38-44..Yu Jianyang,Wang Kelong,Qin Yongming,et al.Fault location method for intelligent distributed feeder automation of active distribution network[J].Southern Power System Technology,2016,10(12):38-44(in Chinese).
• [16]杜东威，叶志峰，许永军．基于GOOSE的综合型智能分布式馈线自动化方案[J]．电力系统保护与控制，2016,44(24):183-189.Du Dongwei,Ye Zhifeng,Xu Yongjun.A solution of integrated intelligent distributed feeder automation based on GOOSE[J].Power System Protection and Control,2016,44(24):183-189(in Chinese).
• [17]高孟友，徐丙垠，范开俊，等．基于实时拓扑识别的分布式馈线自动化控制方法[J]．电力系统自动化，2015,39(9):127-131.Gao Mengyou,Xu Bingyin,Fan Kaijun,et al.Distributed feeder automation based on automatic recognition of real-time feeder topology[J].Automation of Electric Power Systems,2015,39(9):127-131(in Chinese).
• [18]刘健，张小庆，陈星莺，等．集中智能与分布智能协调配合的配电网故障处理模式[J]．电网技术，2013,37(9):2608-2614.Liu Jian,Zhang Xiaoqing,Chen Xingying,et al.Fault location and service restoration for distribution networks based on coordination of centralized intelligence and distributed intelligence[J].Power System Technology,2013,37(9):2608-2614(in Chinese).
• [19]丛伟，郑熠，张子衿，等．智能配电网拓扑信息的分布式存储和管理方法[J]．电力系统自动化，2017,41(13):111-118.Cong Wei,Zheng Yi,Zhang Zijin,et al.Distributed storage and management method for topology information of smart distribution network[J].Automation of Electric Power Systems,2017,41(13):111-118(in Chinese).
• [20]王吉喆，赵蕴龙，吴静．WMN中拜占庭容错网络结构及算法[J]．计算机工程，2011,37(20):83-86.Wang Jizhe,Zhao Yunlong,Wu Jing.Byzantine fault tolerant network structure and algorithm in WMN[J].Computer Engineering,2011,37(20):83-86(in Chinese).
• [21]郭壮志，陈涛，黄全振，等．配电网故障定位的层级模型及其预测校正算法[J]．电力自动化设备，2018(7):51-60.Guo Zhuangzhi,Chen Tao,Huang Quanzhen,et al.Hierarchy model of distribution network fault location and its predictor-corrector algorithm[J]. Electric Power Automation Equipment, 2018(7):51-60(in Chinese).
• [22]郭壮志，陈涛，洪俊杰，等．基于故障辅助因子的配电网高容错性故障区段定位方法[J]．电力自动化设备，2017,37(7):93-100.Guo Zhuangzhi,Chen Tao,Hong Junjie,et al.High-tolerance faulty section locating based on fault accessory factors for distribution network[J].Electric Power Automation Equipment,2017,37(7):93-100(in Chinese).
• [23]李伟健．基于多源信息的配电网高容错性故障精确定位方法研究[D]．杭州：浙江大学，2018.