A Multi-Period Framework for Coordinated Dispatch of Plug-in Electric Vehicles

Yinuo Huang, Chuangxin Guo, Yi Ding, Licheng Wang, Bingquan Zhu and Lizhong Xu
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Yinuo Huang: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Chuangxin Guo: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Yi Ding: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Licheng Wang: School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane 4067, Australia
Bingquan Zhu: State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
Lizhong Xu: State Grid Zhejiang Electric Power Company, Hangzhou 310007, China

Energies, 2016, vol. 9, issue 5, 1-16

Abstract: Coordinated dispatch of plug-in electric vehicles (PEVs) with renewable energies has been proposed in recent years. However, it is difficult to achieve effective PEV dispatch with a win-win result, which not only optimizes power system operation, but also satisfies the requirements of PEV owners. In this paper, a multi-period PEV dispatch framework, combining day-ahead dispatch with real-time dispatch, is proposed. On the one hand, the day-ahead dispatch is used to make full use of wind power and minimize the fluctuation of total power in the distribution system, and schedule the charging/discharging power of PEV stations for each period. On the other hand, the real-time dispatch arranges individual PEVs to meet the charging/discharging power demands of PEV stations given by the day-ahead dispatch. To reduce the dimensions of the resulting large-scale, non-convex problem, PEVs are clustered according to their travel information. An interval optimization model is introduced to obtain the problem solution of the day-ahead dispatch. For the real-time dispatch, a priority-ordering method is developed to satisfy the requirements of PEV owners with fast response. Numerical studies demonstrate the effectiveness of the presented framework.

Keywords: plug-in electric vehicles (PEVs); day-ahead dispatch; real-time dispatch; interval optimization; PEV-clustered model; priority-ordering method (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: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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