基于分层模型和智能校验算法的配电网故障定位技术

doi:10.19595/j.cnki.1000-6753.tces.171362

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (22696 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract After a large number of distributed generators are connected to large distribution network, the fault location model based on single layer logic relation is extremely complex, and the location algorithm has low efficiency and poor stability. Therefore, a fault location method based on hierarchical model and intelligent checking algorithm is proposed. Its advantages are: ①The dimension of the switching function based on logical relation is greatly reduced and the structure is greatly simplified after two-port equivalence is implemented for each branch of the distribution network. ②Hierarchical location obviously reduces the computing dimension of location algorithm, and greatly improves the location efficiency. ③Feedback check mechanism, using the location absolute reliability of the exhaustion method to identify the fault area location results, effectively compensates for the instability of the intelligent algorithm in fault identification. The simulation results show that, comparing with the single layer model and the intelligent algorithm without checking mechanism, the hierarchical model and the intelligent algorithm have better fault tolerance and stability, which can greatly simplify the fault identification model and improve the fault location efficiency. In large distribution network with high penetration rate, the new method of fault location has obvious advantages.

Key words： Distribution network fault location hierarchical model intelligent checking algorithm

Received: 25 September 2017 Published: 27 November 2018

PACS:	TM72
	TM77

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wang Qiujie
	Jin Tao
	Tan Hong
	Li Zhenxing

Cite this article:

Wang Qiujie,Jin Tao,Tan Hong等. The Technology on Fault Location of Distribution Network Based on Hierarchical Model and Intelligent Checking Algorithm[J]. Transactions of China Electrotechnical Society, 2018, 33(22): 5327-5337.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171362 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I22/5327

[1] 翁国庆, 黄飞腾, 南余荣, 等. 计及分布式电源的电能质量监测点优化配置[J]. 电工技术学报, 2017, 32(13): 229-238.
Weng Guoqing, Huang Feiteng, Nan Yurong, et al.Optimize allocation of power quality monitoring sites with distributed generators[J]. Transactions of China Electrotechnical Society, 2017, 32(13): 229-238.
[2] 肖浩, 裴玮, 邓卫, 等. 分布式电源对配电网电压的影响分析及其优化控制策略[J]. 电工技术学报, 2016, 31(增刊1): 203-213.
Xiao Hao, Pei Wei, Deng Wei, et al.Analysis of the impact of distributed generation on distribution network voltage and its optimal control strategy[J]. Transactions of China Electrotechnical Society, 2016, 31(S1): 203-213.
[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] Jin Tao, Li Hongnan.Fault location method for distribution lines with distributed generators based on a novel hybrid BPSOGA[J]. IET Generation, Transmission and Distribution, 2016, 10(10): 2454-2463.
[5] 黎嘉明, 郑雪阳, 艾小猛, 等. 独立海岛微网分布式电源容量优化设计[J]. 电工技术学报, 2016, 31(10): 176-184.
Li Jiaming, Zheng Xueyang, Ai Xiaomeng, et al.Optimal design of capacity of distributed generation in island standalone microgrid[J]. Transactions of China Electrotechnical Society, 2016, 31(10): 176-184.
[6] 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): 71-76.
Sun Yaming, Du Hongwei, Liao Zhiwei.Fault section diagnosis with high fault-tolerance performance for distri-bution networks based on the combination of neural logic network redundant error correct and FNN[J]. Transactions of China Electrotechnical Society, 2001, 16(4): 71-76.
[7] 卫志农, 何桦, 郑玉平. 配电网故障区问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.
[8] 陈歌技, 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 Geji, Ding Tongkui, Zhang Zhao.Ant colony algorithm for solving fault location in distribution net-works[J]. Automation of Electric Power Systems, 2006, 30(5): 74-77.
[9] 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.Electromagnetismlike mechanism based fault section diagnosis for distribution network[J]. Proceedings of the CSEE, 2010, 30(13): 34-40.
[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.Fault-section 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 gener- ation 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] 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 distri- bution networks with DG[J]. Transactions of China Electrotechnical Society, 2013, 28(5): 280-284.
[14] 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 algo- rithm[J]. High Voltage Engineering, 2009, 35(2): 255-259.
[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. 考虑多DG接入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.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] 闫玲玲, 刘中印, 艾永乐, 等. 基于0-1整数规划算法的PMU量测点优化配置新方法[J]. 电力系统保护与控制, 2017, 45(12): 101-106.
Yan Lingling, Liu Zhongyin, Ai Yongle, et al.A new method of the optimal placement PMU based on 0-1 integer program[J]. Power System Protection and Control, 2017, 45(12): 101-106.
[18] 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.Zone division and implementation on limited wide area protection system[J]. Automation of Electric Power Systems, 2010, 34(19): 48-52.