Optimal Assignment of Emergency Power Considering V2G

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An optimal assignment algorithm of emergency power supply considering V2G is proposed with a necessary concern for its effect on society. Firstly, the comprehensive index weight coefficients are proposed according to the priority. Next, this paper establishes the network minimum total cost objective function based on constraints such as time and capacity limit, using symmetric triangular fuzzy numbers to simulate the uncertainties in emergency logistics on the condition that ensuring the normal work of EV in next day which is used to search for the best logistics path. Finally the optimal algorithm of emergency power supply is developed based on genetic algorithm. The model and algorithm are proved by a numerical example, and the study helps to reduce the investment and operating cost of power system and improve the ability of urban electric network in emergency situation.

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664-668

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] HOU Hui, ZHOU Jian-zhong, ZHANG Yong-chuan, et. al. Analysis of power emergency drills system at home and abroad and its inspiration for China[J]. Power System Protection and Control, 2010, 38(24): 236-241.

Google Scholar

[2] GUO Xiao-ming, LIU Jun-yong. Research on power disaster-relief resources allocation schedule model[J]. Power System Protection and Control, 2011, 39(20): 11-26.

Google Scholar

[3] CHENG Xiang-hui, LIU Jun-yong, FENG Han, et. al. ADM analysis of power emergency command center to start based on accident state and tendency grade evaluation[J]. Power System Protection and Control, 2011, 39(16): 45-52.

Google Scholar

[4] Sun Jia-ping, Zhang Jian-feng, Lu Li-jun;Study on Measures for Raising Beijing Power System Power Supply Reliability[J], North China Electric Power, 2004(2): 51-54.

Google Scholar

[5] ZHANG Ai-guo, HAO Jian-gang, TANG Zhi-fang, et al. The Allocation Scheme of Mobile Emergency Generator Considering the Loads Importance[J]. Power System Technology, 32(S): 86-89.

Google Scholar

[6] Matthias D. Galus, Rashid A. Waraich, Fabrizio Noembrini, et al. Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control. IEEE Transactions on Smart Grid, 2012, 3(2): 934-948.

DOI: 10.1109/tsg.2012.2190628

Google Scholar

[7] LI Zi-yun, CHEN Kai, LONG Yu et al. A Precision Method for Reliability Cost and Benefit Analysis and Its Application in Distribution Network Planning[J]. Automation of Electric Power Systems, 2012, 36(11): 97-101.

Google Scholar

[8] ZHOU Li-mei, FAN Min-gtian, ZHANG Zu- ping. Optimal Allocation of Emergency Power Supplies for Urban Important Customers[J]. Automation of Electric Power Systems, 2007, 31(6): 99-102.

DOI: 10.1109/supergen.2009.5348364

Google Scholar