Integration of Electric Vehicles Charging in Unit Commitment

Abstract

Abstract—Integration of electric vehicles (EVs) to grid may encounter several challenges such as high power consumption and uncertain charging time which impose significant impact on the operation of power systems. In this paper, two charging modes of EVs are incorporated into the power load demand of the power system. Then, a model of unit commitment (UC) with charging EVs (UCEV) is established, and two different genetic algorithms (GAs) are employed for solving this problem. The first GA method uses hybrid coding methods with the binary (0/1) variables and continuous real variables (GAH). The second GA only applies the decimals from 0 to 1 for representing the UCEV problem solutions (GAD). The results are analyzed in detail to assess the impact of charging EVs on UC and demonstrate that GAD is practicable for UCEV problem when compared with GAH. Keywords—Electric vehicle, Unit commitment, Genetic algorithm

8 Figures and Tables

Cite this paper

@inproceedings{Zhang2014IntegrationOE, title={Integration of Electric Vehicles Charging in Unit Commitment}, author={Letian Zhang and Zhile Yang and Kang Li}, year={2014} }