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Energies 2016, 9(5), 370; doi:10.3390/en9050370

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

1
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane 4067, Australia
3
State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
*
Author to whom correspondence should be addressed.
Academic Editor: Michael Gerard Pecht
Received: 31 January 2016 / Revised: 9 May 2016 / Accepted: 10 May 2016 / Published: 16 May 2016
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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. View Full-Text
Keywords: plug-in electric vehicles (PEVs); day-ahead dispatch; real-time dispatch; interval optimization; PEV-clustered model; priority-ordering method plug-in electric vehicles (PEVs); day-ahead dispatch; real-time dispatch; interval optimization; PEV-clustered model; priority-ordering method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Huang, Y.; Guo, C.; Ding, Y.; Wang, L.; Zhu, B.; Xu, L. A Multi-Period Framework for Coordinated Dispatch of Plug-in Electric Vehicles. Energies 2016, 9, 370.

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