结合粒子群算法和穷举法的配电网故障诊断方法
|
摘要
在配电网的故障诊断中,基于智能算法的区段定位方法普遍存在未成熟收敛现象。针对此问题,利用穷举法的绝对收敛性对智能算法的早熟结果进行辨识,使得智能算法的未成熟收敛现象大幅减少。首先分析配电网的拓扑结构,构建出区段定位的分层模型;接着,在维度较大的第一层模型中,利用二进制粒子群算法进行定位;在维度较小的第二层模型中,利用穷举法进行定位,完成对早熟结果的辨识。通过算例分析,验证了所提方法在定位准确率和速度上的优势。
In the fault diagnosis of distribution network, the immature convergence is common in section location method based on intelligent algorithm. To solve this problem, the paper uses the absolute convergence of exhaustive method to identify the premature phenomenon of the intelligent algorithm, so that the immature convergence of the intelligent algorithm is greatly reduced. Firstly, the topological structure of the distribution network is analyzed,and a hierarchical model of segment location is constructed. Secondly,binary particle swarm optimization(BPSO) is used to locate in the first layer model with larger dimensions. In the second layer model with smaller dimensions, the exhaustive method is used to identify the premature result. Finally, an example is given to illustrate the superiority of the proposed method in location accuracy and speed.
In the fault diagnosis of distribution network, the immature convergence is common in section location method based on intelligent algorithm. To solve this problem, the paper uses the absolute convergence of exhaustive method to identify the premature phenomenon of the intelligent algorithm, so that the immature convergence of the intelligent algorithm is greatly reduced. Firstly, the topological structure of the distribution network is analyzed,and a hierarchical model of segment location is constructed. Secondly,binary particle swarm optimization(BPSO) is used to locate in the first layer model with larger dimensions. In the second layer model with smaller dimensions, the exhaustive method is used to identify the premature result. Finally, an example is given to illustrate the superiority of the proposed method in location accuracy and speed.
引文
[1]赵小平,韩涛,李永增,等.配电网单相接地故障行波滤波方法研究[J].智慧电力,2018,46(2):45-53.ZHAO Xiaoping, HAN Tao, LI Yongzeng, et al. Filtering of traveling wave with single phase to ground fault in distribution networks[J].Smart Power, 2018,46(2):45-53.
[2]方伟明,程汉湘,李勇,等.一种不受波速影响的多端配电网故障定位方法[J].广东电力,2016, 29(4):79-83+127.FANG Weiming, CHENG Hanxiang, LI Yong, et al. A kind of fault location network method for multi-terminal power distribution not affected by wave speed[J]. Guangdong Electric Power, 2016,29(4):79-83+127.
[3] TRINDADE F C L, FREITAS W,VIEIRA J C M. Fault location in distribution systems based on smart feeder meters[J]. IEEE Transactions on Power Delivery, 2014, 29(1):251-260.
[4]齐郑,高玉华,杨以涵.配电网单相接地故障区段定位矩阵算法的研究[J].电力系统保护与控制,2010, 38(20):159-163.QI Zheng, GAO Yuhua, YANG Yihan. Research on matrix based algorithm for single-phase-to-earth fault section location in distribution grid[J]. Power System Protection and Control, 2010, 38(20):159-163.
[5]程学珍,陈强,于永进,等.基于最大似然译码字的Petri网电网故障诊断方法[fJ].电工技术学报,2015,30(15):46-52.CHENG Xuezhen, CHEN Qiang, YU Yongjin, et al. A fault diagnosis approach of power networks based on maximum likelihood decoding Petri net models[J].Transactions of China Electrotechnical Society, 2015,30(15):46-52.
[6]孙雅明,吕航.Petri网和冗余纠错技术结合的配网故障区段定位新方法[J].中国电机工程学报,2004, 24(10):61-67.SUN Yaming, LU Hang. A new approach of the fault section locating for distribution systems based on Petri-nets in combination with redundant correcting technique[J].Proceedings of the CSEE, 2004, 24(10):61-67.
[7]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. Solution evaluation and optimal solution discrimination of a complete analytical model for power system fault diagnosis[J]. Proceedings of the CSEE,2014,34(31):5668-5676.
[8]江雪晨,王大志,张翠玲.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. A complete analytic method for fault diagnosis of power systems based on model-based diagnosis for dimensionality reduction[J]. Proceedings of the CSEE,2016, 36(24):0258-8013.
[9]严太山,崔杜武,陶永芹.基于改进遗传算法的配电网故障定位[J].高电压技术,2009, 35(2):255-259.YAN Taishan, CUI Duwu, TAO Yongqin. Fault location for distribution network by improved genetic algorithm[J].High Voltage Engineering, 2009, 35(2):255-259.
[10]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.
[11]刘鹏程,李新利.基于多种群遗传算法的含分布式电源的配电网故障区段定位算法[J].电力系统保护与控制,2016, 44(2):36-41.LIU Pengcheng, LI Xinli. Fault-section location of distribution network containing distributed generation based on the multiple-population genetic algorithm[J].Power System Protection and Control, 2016, 44(2), 36-41.
[12]金涛,李鸿南,刘对.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. Faulty section location based on BPSOGA for distribution line with wind turbine generator[J]. Electric Power Automation Equipment,2016, 36(6):27-33.
[13]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.
[14]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.
[15]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 network based on immune algorithm[J]. Power System Protection and Control, 2014, 42(1),77-83.
[16]肖伟栋,夏明超,唐念,等.考虑多DG接人的配电网区域保护新方案[J].电力系统保护与控制,2014,34(9):103-109.XIAO Weidong,XIA Mingchao,TANG Nian, et al. A new regional protection scheme for distribution network considering the introduction of multi-DGs[J]. Power System Protection and Control,2014,34(9):103-109.
[17]李振兴,尹项根,张哲,等.有限广域继电保护系统的分区原则与实现方法[J].电力系统自动化,2010,34(19):48-52.LI Zhenxing, YIN Xianggen, ZHANG Zhe, et al.Zonedivision and implementation on limited wide areaprotection system[J]. Automation of Electric Power Systems,2010,34(19):48-52.
[18]潘再平,张震,潘晓弘.基于QPSO算法的电力变压器优化设计[J].电工技术学报,2013,28(11):42-47.PAN Zaiping, ZHANG Zhen, PAN Xiaohong. Optimal design of power transformers using quantum behaved particle swarm optimization[J]. Transactions of China Electrotechnical Society, 2013, 28(11):42-47.
[19]杨健维,何正友.基于时序模糊Petri网的电力系统故障诊断[J].电力系统自动化,2011,35(15):46-51.YANG Jianwei, HE Zhengyou. Power system fault diagnosis approach based on time sequence fuzzy Petri net[J]. Automation of Electric Power Systems, 2011,35(15):46-51.
[2]方伟明,程汉湘,李勇,等.一种不受波速影响的多端配电网故障定位方法[J].广东电力,2016, 29(4):79-83+127.FANG Weiming, CHENG Hanxiang, LI Yong, et al. A kind of fault location network method for multi-terminal power distribution not affected by wave speed[J]. Guangdong Electric Power, 2016,29(4):79-83+127.
[3] TRINDADE F C L, FREITAS W,VIEIRA J C M. Fault location in distribution systems based on smart feeder meters[J]. IEEE Transactions on Power Delivery, 2014, 29(1):251-260.
[4]齐郑,高玉华,杨以涵.配电网单相接地故障区段定位矩阵算法的研究[J].电力系统保护与控制,2010, 38(20):159-163.QI Zheng, GAO Yuhua, YANG Yihan. Research on matrix based algorithm for single-phase-to-earth fault section location in distribution grid[J]. Power System Protection and Control, 2010, 38(20):159-163.
[5]程学珍,陈强,于永进,等.基于最大似然译码字的Petri网电网故障诊断方法[fJ].电工技术学报,2015,30(15):46-52.CHENG Xuezhen, CHEN Qiang, YU Yongjin, et al. A fault diagnosis approach of power networks based on maximum likelihood decoding Petri net models[J].Transactions of China Electrotechnical Society, 2015,30(15):46-52.
[6]孙雅明,吕航.Petri网和冗余纠错技术结合的配网故障区段定位新方法[J].中国电机工程学报,2004, 24(10):61-67.SUN Yaming, LU Hang. A new approach of the fault section locating for distribution systems based on Petri-nets in combination with redundant correcting technique[J].Proceedings of the CSEE, 2004, 24(10):61-67.
[7]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. Solution evaluation and optimal solution discrimination of a complete analytical model for power system fault diagnosis[J]. Proceedings of the CSEE,2014,34(31):5668-5676.
[8]江雪晨,王大志,张翠玲.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. A complete analytic method for fault diagnosis of power systems based on model-based diagnosis for dimensionality reduction[J]. Proceedings of the CSEE,2016, 36(24):0258-8013.
[9]严太山,崔杜武,陶永芹.基于改进遗传算法的配电网故障定位[J].高电压技术,2009, 35(2):255-259.YAN Taishan, CUI Duwu, TAO Yongqin. Fault location for distribution network by improved genetic algorithm[J].High Voltage Engineering, 2009, 35(2):255-259.
[10]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.
[11]刘鹏程,李新利.基于多种群遗传算法的含分布式电源的配电网故障区段定位算法[J].电力系统保护与控制,2016, 44(2):36-41.LIU Pengcheng, LI Xinli. Fault-section location of distribution network containing distributed generation based on the multiple-population genetic algorithm[J].Power System Protection and Control, 2016, 44(2), 36-41.
[12]金涛,李鸿南,刘对.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. Faulty section location based on BPSOGA for distribution line with wind turbine generator[J]. Electric Power Automation Equipment,2016, 36(6):27-33.
[13]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.
[14]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.
[15]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 network based on immune algorithm[J]. Power System Protection and Control, 2014, 42(1),77-83.
[16]肖伟栋,夏明超,唐念,等.考虑多DG接人的配电网区域保护新方案[J].电力系统保护与控制,2014,34(9):103-109.XIAO Weidong,XIA Mingchao,TANG Nian, et al. A new regional protection scheme for distribution network considering the introduction of multi-DGs[J]. Power System Protection and Control,2014,34(9):103-109.
[17]李振兴,尹项根,张哲,等.有限广域继电保护系统的分区原则与实现方法[J].电力系统自动化,2010,34(19):48-52.LI Zhenxing, YIN Xianggen, ZHANG Zhe, et al.Zonedivision and implementation on limited wide areaprotection system[J]. Automation of Electric Power Systems,2010,34(19):48-52.
[18]潘再平,张震,潘晓弘.基于QPSO算法的电力变压器优化设计[J].电工技术学报,2013,28(11):42-47.PAN Zaiping, ZHANG Zhen, PAN Xiaohong. Optimal design of power transformers using quantum behaved particle swarm optimization[J]. Transactions of China Electrotechnical Society, 2013, 28(11):42-47.
[19]杨健维,何正友.基于时序模糊Petri网的电力系统故障诊断[J].电力系统自动化,2011,35(15):46-51.YANG Jianwei, HE Zhengyou. Power system fault diagnosis approach based on time sequence fuzzy Petri net[J]. Automation of Electric Power Systems, 2011,35(15):46-51.