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

• Main Authors: Yinuo Huang, Chuangxin Guo, Yi Ding, Licheng Wang, Bingquan Zhu, Lizhong Xu
• Format: Article
• Language: English
• Published: MDPI AG 2016-05-01
• Series: Energies
• Subjects: plug-in electric vehicles (PEVs); day-ahead dispatch; real-time dispatch; interval optimization; PEV-clustered model; priority-ordering method
• Online Access: http://www.mdpi.com/1996-1073/9/5/370

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.