考虑多类故障假说变量的配电系统故障诊断方法研究
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摘要
在配电系统故障诊断中,通常只将区段状态作为故障假说变量,在配电节点发生多点信息漏报和误报时则不能准确定位故障,为此,提出一种考虑多类故障假说变量的故障诊断方法。将节点的漏报和误报与区段状态一起作为诊断的故障假说变量,为此导致变量维度过大,于是将故障矛盾假设作为目标函数的约束条件以达到降低变量维度的目的。考虑多类故障假说变量的故障诊断方法不仅能够极大提高配电系统故障定位的准确率和容错能力,还能同步获取FTU(Feeder Terminal Units)节点漏报和误报的警告信息。通过算例分析,验证了所提诊断方法配电系统故障诊断中的优势。
In the fault diagnosis of distribution system, only the section state is used as the fault hypothesis variable, but the fault can not be accurately located when the multi-point information is missed or misreported. For this reason, the paper proposes a fault diagnosis method considering multi-type fault hypothesis variables. In order to reduce the dimension of the fault hypothesis, the fault contradiction hypothesis is taken as the constraint condition of the objective function. The fault diagnosis method considering multiple kinds of fault hypothesis variables can not only greatly improve the accuracy and fault tolerance of the distribution system fault location,but also obtain warning information synchronously of FTU node with both missed and false alarm. The advantages of the proposed diagnostic method in the distribution system fault diagnosis are verified by an example.
In the fault diagnosis of distribution system, only the section state is used as the fault hypothesis variable, but the fault can not be accurately located when the multi-point information is missed or misreported. For this reason, the paper proposes a fault diagnosis method considering multi-type fault hypothesis variables. In order to reduce the dimension of the fault hypothesis, the fault contradiction hypothesis is taken as the constraint condition of the objective function. The fault diagnosis method considering multiple kinds of fault hypothesis variables can not only greatly improve the accuracy and fault tolerance of the distribution system fault location,but also obtain warning information synchronously of FTU node with both missed and false alarm. The advantages of the proposed diagnostic method in the distribution system fault diagnosis are verified by an example.
引文
[1]王庆丰,马少飞,刘强,等.基于帝国竞争算法的主动配电网多目标优化研究[J].智慧电力,2018,46(8):74-78.WANG Qingfeng, MA Shaofei, LIU Qiang, et al. Active distribution network multi-objective optimization operation based on ICA[J]. Smart Power, 2018,46(8):74-78.
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[3]言宇,冯林桥,陈湘波,等.基于改进遗传算法的配电网无功优化[J].广东电力,2006, 19(3):46-48.YAN Yu,FENG Linqiao, CHEN Xiangbo, et al. Reactive power optimization of distribution network based on improved genetic algorithm[J]. Guangdong Electric Power,2006, 19(3):46-48.
[4]易琳,秦晓科,王刚.基于改进蚁群算法的电力巡检路径规划[J].广东电力,2018, 03(19):115-119.YI Lin,QIN Xiaoke, WANG Gang. Path planning for elec-tric power patrol based on improved ant colony algorithms[J]. Guangdong Electric Power,2018, 31(3):115-119.
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[6]张林,金忠达.基于粒子群算法的配电网分层规划方法研究[J].智慧电力,2014, 42(12):44-47.ZHANG Lin, JIN Zhongda. Application of BPSO algorithm in model based fault diagnosis of distribution network[J]. Smart Power, 2014, 42(12):44-47.
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[8]刘蓓,汪讽,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):280-284.
[9]郑涛,潘玉美,郭昆亚,等.基于免疫算法的配电网故障定位方法研究[J].电力系统保护与控制,2014,42(1):77-83.ZHENG Tao, PAN Yumei, GUO Kunya, et al. Fault location of distribution networkbased on immune algorithm[J].Power System Protection and Control, 2014,42(1):77-83.
[10]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. Hightolerance faulty section locating based on fault accessory factors for distribution network[J]. Electric Power Automation Equipment,2017,37(7):93-100.
[11]赵冬梅,张旭,魏娟,等.以重现故障过程为目的的电网故障诊断[J].中国电机工程学报,2014,34(13):2116-2123.ZHAO Dongmei, ZHANG Xu, WEI Juan, et al. Power grid fault diagnosis aiming at reproducing the fault process[J].Proceedings of the CSEE,2014,34(13):2116-2123.
[12]郭文鑫,文福拴,廖志伟,等.计及保护和断路器误动与拒动的电力系统故障诊断解析模型[J].电力系统自动化,2009,33(24):6-10.GUO Wenxin, WEN Fushuan,LIAO Zhiwei,et al. An analytic model for power system fault diagnosis with malfunctions of protective relays and circuit breakers taken into account[J]. Automation of Electric Power Systems, 2009, 33(24):6-10.
[13]刘道兵,顾雪平,李海鹏.电网故障诊断的一种完全解析模型[J].中国电机工程学报,2011,31(34):85-92.LIU Daobing,GU Xueping,LI Haipeng. A complete analytic model for fault diagnosis of power systems[J]. Proceedings of the CSEE,2011,31(34):85-92.
[14]刘道兵,顾雪平,梁海平.电网故障诊断完全解析模型的解集评价与最优解求取[J].中国电机工程学报,2014,34(31):5668-5676.LIU Daobing,GU Xueping,LIANG Haiping. Solutionevaluation and optimal solution discrimination of acomplete analytical model for power system fault diagnosis[J]. Proceedings of the CSEE,2014,34(31):5668-5676.
[15]江雪晨,王大志,张翠玲,等.利用模型诊断降维的电网故障诊断完全解析方法[J].中国电机工程学,2016,36(24):0258-8013.JIANG Xuechen, WANG Dazhi,ZHANG Cuiling, et al. A complete analytic method for fault diagnosis of power sys-tems based on model-based diagnosis for dimensionality reduction[J]. Proceedings of the CSEE, 2016, 36(24):0258-8013.
[16]金涛,李鸿南,刘对,等.基于BPSOGA的含风电机组的配电线路故障区段定位[J].电力自动化设备,2016,36(6):27-33.JIN Tao, LI Hongnan, LIU Dui, et al. Faulty section location based on BPSOGA for distribution line with wind turbine generator[J].Electric Power Automation Equipment,2016,36(6):27-33.
[17] JIN T, LI N H. Fault location method for distribution lines with distributed generators based on a novel hybrid BPSOGA[J]. IET Generation, Transmission and Distribution,2016,10(10):2454-2436.
[18]王庆斌,石亮缘,黄辉,等.基于改进粒子群算法的输电线路路径规划研究[J].广东电力,2018,31(9):135-141.WANG Qingbin, SHI Liangyuan, HUANG Hui, et al.Research on power transmission line path planning based on improved particle swarm optimization algorithm[J].Guangdong Electric Power, 2018,31(9):135-141.
[2]刘全,王飞,严星,等.含分布式光伏电源的配电网故障分析与研究[J].智慧电力,2018,46(8):79-83.LIU Quan, WANG Fei, YAN Xing, et al. Analysis of distribution network faults with distributed photovoltaic power supply[J]. Smart Power, 2018,46(8):79-83.
[3]言宇,冯林桥,陈湘波,等.基于改进遗传算法的配电网无功优化[J].广东电力,2006, 19(3):46-48.YAN Yu,FENG Linqiao, CHEN Xiangbo, et al. Reactive power optimization of distribution network based on improved genetic algorithm[J]. Guangdong Electric Power,2006, 19(3):46-48.
[4]易琳,秦晓科,王刚.基于改进蚁群算法的电力巡检路径规划[J].广东电力,2018, 03(19):115-119.YI Lin,QIN Xiaoke, WANG Gang. Path planning for elec-tric power patrol based on improved ant colony algorithms[J]. Guangdong Electric Power,2018, 31(3):115-119.
[5]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.
[6]张林,金忠达.基于粒子群算法的配电网分层规划方法研究[J].智慧电力,2014, 42(12):44-47.ZHANG Lin, JIN Zhongda. Application of BPSO algorithm in model based fault diagnosis of distribution network[J]. Smart Power, 2014, 42(12):44-47.
[7]周湶,郑柏林,廖瑞金,等.基于粒子群和差分进化算法的含分布式电源配电网故障区段定位[J].电力系统保护与控制,2013,41(4):33-37.ZHOU Quan, ZHENG Bolin, LIAO Ruijin, et al. Faultsection location for distribution networks with DG based on a hybrid algorithm of particle swarm optimization and differential evolution[J]. Power System Protection and Control,2013,41(4):33-37.
[8]刘蓓,汪讽,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):280-284.
[9]郑涛,潘玉美,郭昆亚,等.基于免疫算法的配电网故障定位方法研究[J].电力系统保护与控制,2014,42(1):77-83.ZHENG Tao, PAN Yumei, GUO Kunya, et al. Fault location of distribution networkbased on immune algorithm[J].Power System Protection and Control, 2014,42(1):77-83.
[10]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. Hightolerance faulty section locating based on fault accessory factors for distribution network[J]. Electric Power Automation Equipment,2017,37(7):93-100.
[11]赵冬梅,张旭,魏娟,等.以重现故障过程为目的的电网故障诊断[J].中国电机工程学报,2014,34(13):2116-2123.ZHAO Dongmei, ZHANG Xu, WEI Juan, et al. Power grid fault diagnosis aiming at reproducing the fault process[J].Proceedings of the CSEE,2014,34(13):2116-2123.
[12]郭文鑫,文福拴,廖志伟,等.计及保护和断路器误动与拒动的电力系统故障诊断解析模型[J].电力系统自动化,2009,33(24):6-10.GUO Wenxin, WEN Fushuan,LIAO Zhiwei,et al. An analytic model for power system fault diagnosis with malfunctions of protective relays and circuit breakers taken into account[J]. Automation of Electric Power Systems, 2009, 33(24):6-10.
[13]刘道兵,顾雪平,李海鹏.电网故障诊断的一种完全解析模型[J].中国电机工程学报,2011,31(34):85-92.LIU Daobing,GU Xueping,LI Haipeng. A complete analytic model for fault diagnosis of power systems[J]. Proceedings of the CSEE,2011,31(34):85-92.
[14]刘道兵,顾雪平,梁海平.电网故障诊断完全解析模型的解集评价与最优解求取[J].中国电机工程学报,2014,34(31):5668-5676.LIU Daobing,GU Xueping,LIANG Haiping. Solutionevaluation and optimal solution discrimination of acomplete analytical model for power system fault diagnosis[J]. Proceedings of the CSEE,2014,34(31):5668-5676.
[15]江雪晨,王大志,张翠玲,等.利用模型诊断降维的电网故障诊断完全解析方法[J].中国电机工程学,2016,36(24):0258-8013.JIANG Xuechen, WANG Dazhi,ZHANG Cuiling, et al. A complete analytic method for fault diagnosis of power sys-tems based on model-based diagnosis for dimensionality reduction[J]. Proceedings of the CSEE, 2016, 36(24):0258-8013.
[16]金涛,李鸿南,刘对,等.基于BPSOGA的含风电机组的配电线路故障区段定位[J].电力自动化设备,2016,36(6):27-33.JIN Tao, LI Hongnan, LIU Dui, et al. Faulty section location based on BPSOGA for distribution line with wind turbine generator[J].Electric Power Automation Equipment,2016,36(6):27-33.
[17] JIN T, LI N H. Fault location method for distribution lines with distributed generators based on a novel hybrid BPSOGA[J]. IET Generation, Transmission and Distribution,2016,10(10):2454-2436.
[18]王庆斌,石亮缘,黄辉,等.基于改进粒子群算法的输电线路路径规划研究[J].广东电力,2018,31(9):135-141.WANG Qingbin, SHI Liangyuan, HUANG Hui, et al.Research on power transmission line path planning based on improved particle swarm optimization algorithm[J].Guangdong Electric Power, 2018,31(9):135-141.