Journal of Guangdong University of Technology ›› 2020, Vol. 37 ›› Issue (04): 51-58.doi: 10.12052/gdutxb.190125

Previous Articles     Next Articles

A Fault Segment Location Method for DG Distribution Network Based on Nonlinear Complementary Constraints

Rong Ze-cheng1, Chen Jing-hua1, Guo Zhuang-zhi2, Xu Jun-ning1, Chen You-peng1   

  1. 1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China;
    2. School of Electrical Information Engineering, Henan University of Engineering, Zhengzhou 451191, China
  • Received:2019-10-10 Online:2020-07-11 Published:2020-07-02

Abstract: With the access of distributed generation(DG), the direction of fault overcurrent in the distribution network is no longer unique, and hence the traditional method about fault section location will not be applicable. A nonlinear complementary constrained smoothing model is proposed with a solution method for fault section location in distribution networks with DG. Considering the deficiencies in numerical stability and decision efficiency based on logical relationship of the indirect fault location method, a switch function is constructed based on algebraic relationships that can adapt to multiple DG switching situations. Two simulation algorithms and contrast experiments show that nonlinear complementary constrained smoothing method of fault section location in distribution networks with DG has a high fault tolerance performance and can achieve exact orientation under multi-information distortion, and so it can be seen that our algorithm is superior to intelligence algorithms in numerical stability.

Key words: distributed generation, fault section location, distribution network, nonlinear complementary constrained smoothing model

CLC Number: 

  • TM771
[1] 杜红卫, 孙雅明, 刘弘靖, 等. 基于遗传算法的配电网故障定位和隔离[J]. 电网技术, 2000, 24(5): 52-55
DU H W, SUN Y M , LIU H J, et al. Fault location and isolation of distribution network based on genetic algorithm [J]. Power System Technology, 2000, 24(5): 52-55
[2] 刘俊夫. 基于BP神经网络的配电网故障区段定位优化方法研究[D]. 恩施: 湖北民族学院, 2018.
[3] 付家才, 陆青松. 基于蝙蝠算法的配电网故障区间定位[J]. 电力系统保护与控制, 2015, 43(16): 100-105
FU J C, LU Q S. Fault sections location of distribution network based on bat algorithm [J]. Power System Protection and Control, 2015, 43(16): 100-105
[4] 项晓鸣. 基于蝙蝠算法和元胞自动机的配电网故障定位研究[D]. 武汉: 湖北工业大学, 2017.
[5] 程璞. 基于粒子群算法的配电网故障定位研究[D]. 淮南: 安徽理工大学, 2017.
[6] 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 T, PAN Y M, GUO K Y, et al. Fault location of distribution network based on immune algorithm [J]. Power System Protection and Control, 2014, 42(1): 77-83
[7] 秦立军, 杨万涛. 蚁群算法在配电网故障定位中的应用及其优化[J]. 电气应用, 2015, 34(22): 73-76
QIN L J, YANG W T. Application and optimization of ant colony algorithm in fault location of distribution network [J]. Electrical Applications, 2015, 34(22): 73-76
[8] ZHANG B, HAO Z, BO Z. New development in relay protection for smart grid [J]. Protection and Control of Modern Power Systems, 2016, 1(1): 14
[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 K, ZHANG Y, WANG H Y, 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
[10] 徐鹏飞, 邢仁周. 粒子群优化算法含分布式电源配电网故障定位[J]. 电源技术, 2018, 42(4): 591-592
XU P F, XING R Z. Fault location of distribution network with distributed generation supply by particle swarm optimization algorithm [J]. Power Technology, 2018, 42(4): 591-592
[11] 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 Q, ZHENG B L, LIAO R J, et al. Fault segment location of distributed generation distribution network based on particle swarm optimization and differential evolution algorithm [J]. Power System Protection and Control, 2013, 41(4): 33-37
[12] 王一非, 贾燕冰. 含分布式电源配电网故障定位改进矩阵算法[J]. 计算机仿真, 2018, 35(4): 58-64
WANG Y F, JIA Y B. Improved matrix algorithm for fault location in DG distribution network [J]. Computer Simulation, 2018, 35(4): 58-64
[13] 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 P C, LI X L. 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
[14] 吴薛红, 郑梅, 唐小波, 等. 配电网故障区间定位的新型矩阵算法[J]. 南京师范大学学报(工程技术版), 2003(2): 54-57
WU X H, ZHENG M, TANG X B, et al. A new matrix algorithm for fault section locating in distribution system [J]. Journal of Nanjing Normal University (Engineering & Technology), 2003(2): 54-57
[15] 罗梅, 杨洪耕. 配电网故障定位的一种改进通用矩阵算法[J]. 电力系统保护与控制, 2012, 40(5): 64-68
LUO M, YANG H G. An improved general matrix algorithm for fault locating in distribution system [J]. Power System Protection and Control, 2012, 40(5): 64-68
[16] 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(4): 128-131
WEI Z N, HE H, ZHENG Y P. A refined genetic algorithm for the fault sections location [J]. Proceedings of the CSEE, 2002(4): 128-131
[17] 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): 786-795
GUO Z Z, XU Q X, HONG J J, 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): 786-795
[18] 郭壮志, 徐其兴, 洪俊杰, 等. 配电网故障区段定位的互补约束新模型与算法[J]. 中国电机工程学报, 2016, 36(14): 3342-3751
GUO Z Z, XU Q X, HONG J J, et al. A novel fault section location model with complementarity constraints and its optimization algorithm for distribution network [J]. Proceedings of the CSEE, 2016, 36(14): 3342-3751
[19] 陈辉, 周羽生, 刘诗涵, 等. 基于改进和声算法的含DG配电网故障定位[J]. 电力科学与技术学报, 2018, 33(2): 123-128
CHEN H, ZHOU Y S, LIU S H, et al. Fault location of DG-containing distribution network based on improved harmony algorithm [J]. Journal of Electric Power Science and Technology, 2018, 33(2): 123-128
[20] 陶维青, 杨刚, 丁明, 等. 改进模因算法在含DG配电网故障定位中的应用[J]. 电子测量与仪器学报, 2016, 30(2): 265-273
TAO W Q, YANG G, DING M, et al. Application of improved memetic algorithm in fault location of DG distribution network [J]. Journal of Electronic Measurement and Instrument, 2016, 30(2): 265-273
[21] 裴文杰, 谭阳红, 汪沨, 等. 蝙蝠算法在含DG配电网故障定位中的应用[J]. 计算机工程与应用, 2016, 52(22): 218-221
PEI W J, TAN Y H, WANG F, et al. Application of bat algorithm in fault location of DG distribution network [J]. Computer Engineering and Applications, 2016, 52(22): 218-221
[22] 王迪, 吴鑫强, 王振浩. 基于改进遗传算法的含分布式电源配电网故障定位[J]. 东北电力大学学报, 2016, 36(1): 1-7
WANG D, WU X Q, WANG Z H. Fault location of distributed generation distribution network based on improved genetic algorithm [J]. Journal of Northeast Electric Power University, 2016, 36(1): 1-7
[23] 黄知伟. 基于云粒子群算法的含DG配电网故障定位[D]. 武汉: 湖北工业大学, 2016.
[1] Zheng Shi-ming, Lin Ze-xin, Huang Yuan-fang, Li Wang-jun, Peng Xian-gang. An Reliability Evaluation of Distribution Network Based on Graph Model Integration Technology [J]. Journal of Guangdong University of Technology, 2022, 39(03): 63-69.
[2] Xu Jun-ning, Chen Jing-hua, Rong Ze-cheng, Wu Ning. Fault Section Location of Distribution Network Based on Improved Bat Algorithm [J]. Journal of Guangdong University of Technology, 2020, 37(05): 62-67.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!