Abstract
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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