Substation Locating Method in Integrated Relay Graph Splicing Based on Improved Genetic Algorithm

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Abstract:

Distributed protection relay value setting is widely applied in china. There is a graph chaos problem in protection relay model splicing process. Deeply study the characteristic of integrated relay splicing, combined with the substation voltage level, a substation locating method based on improved genetic algorithm is proposed. To enhance the graph splicing, a voltage level based method is applied. At last, a practical example is used to validate the effectiveness of the method.

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1090-1094

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] QIAN Kejun, YUAN Yue, Distributed generation technology and its impact on power systems, Relay, Vol. 35, No. 13, 2007, pp.25-29.

Google Scholar

[2] LIANG Youwei, HU Zhijian, CHEN Yunping, A Survey of Distributed Generation and its Application in Power System, Power System Technology, Vol 27, No. 12, 2003, pp.71-76.

DOI: 10.1109/icpst.2004.1459969

Google Scholar

[3] WANG Chengshan, XIAO Zhaoxia, WANG Shouxiang, Synthetical control and analysis of Microgrid, Automation of Electric Power Systems, Vol 32, No. 7, 2008, p.98-103.

Google Scholar

[4] WANG Zhiqun, ZHU Shouzhen, ZHOU Shuangxi, Impacts of distributed generation on distribution system voltage profile, Automation of Electric Power Systems, Vol 28, No. 16, 2004, p.56-60.

Google Scholar

[5] CHEN Lin, ZHONG Jin, NI Yixin, Optimal reactive power planning of radial distribution system with distributed generation, Automation of Electric Power Systems, Vol 30, No. 14, 2006, p.20-24.

Google Scholar

[6] YI Xin, LU Yuping, Islanding algorithm of distribution networks with distributed generators, Power System Technology, Vol 30, No. 7, 2006, p.50-54.

Google Scholar

[7] LU Zhigang, DONG Yuxiang, Service Restoration Strategy for the Distribution system with DGs, Automation of Electric Power Systems, Vol 31, No. 1, 2007, p.89-92.

Google Scholar

[8] SHENG Siqing, LIANG Zhirui, ZHANG Wenqin, Fault Restoration of Distribution Network Based on Genetic Algorithm, Automation of Electric Power Systems, Vol 25, No. 16, 2001, p.53-55.

Google Scholar

[9] DING Lei, PAN Zhencun, CONG We, Searching for intentional islanding strategies of distributed generation based on rooted tree, Proceedings of CSEE, Vol 28, No. 25, 2008, p.62-67.

DOI: 10.1049/cp:20080054

Google Scholar

[10] IU Dong, CHEN Yunping, SHEN Guang, CSP-based Model and Algorithm of Service Restoration for Large Area Blackout of Distribution System, Automation of Electric Power Systems, Vol 30, No. 10, 2006, p.28-32.

Google Scholar

[11] DECHTER R, FROST D, Backjump-based Backtracking for Constraint Satisfaction Problems, Artificial Intelligence, Vol 136, No. 2, 2002, p.147—188.

DOI: 10.1016/s0004-3702(02)00120-0

Google Scholar