Evaluation of Accommodation Capability for Electric Vehicles of a Distribution System Considering Coordinated Charging Strategies

Qing Deng, Changsen Feng, Fushuan Wen, Chung-Li Tseng, Lei Wang, Bo Zou and Xizhu Zhang
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Qing Deng: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Changsen Feng: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Fushuan Wen: Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Chung-Li Tseng: UNSW Business School, The University of New South Wales, Sydney, NSW 2052, Australia
Lei Wang: State Grid Zhejiang Economic Research Institute, Hangzhou 310008, China
Bo Zou: State Grid Zhejiang Economic Research Institute, Hangzhou 310008, China
Xizhu Zhang: State Grid Zhejiang Economic Research Institute, Hangzhou 310008, China

Energies, 2019, vol. 12, issue 16, 1-20

Abstract: In recent years, the ever-increasing charging demand of electric vehicles (EVs) imposes challenges on both power supply security and reliability in the distribution system. In this paper, an EV accommodation capability evaluation model of a distribution system, with high penetrations of flexible resources, is established. Firstly, according to the actual classifications of EVs and transportation rules, a Monte Carlo simulation is used to simulate the charging behaviors of EVs so as to obtain the relevant parameters of EV charging. Then, a coordinated charging optimization model for various types of EVs is proposed based on the charging characteristics of EVs. The presented model comprises a mixed-integer linear programming problem and a constrained optimization problem which are respectively solved by CPLEX (the Simplex method implemented in the °C programming language) and the particle swarm optimization (PSO) algorithm. Last of all, a real-life distribution system in the coastal areas of China is served for demonstrating the feasibility and efficiency of the proposed approach. Moreover, the impacts of flexible resources, distribution network zoning rules, and EV growth on the EV accommodation capability of a distribution system are also discussed.

Keywords: distribution system; flexible resources; electric vehicle; accommodation capability; coordinated charging (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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