A multi-period framework for coordinated dispatch of plug-in electric vehicles

Huang, Yinuo, Guo, Chuangxin, Ding, Yi, Wang, Licheng, Zhu, Bingquan and Xu, Lizhong (2016) A multi-period framework for coordinated dispatch of plug-in electric vehicles. Energies, 9 5: 370.1-370.16. doi:10.3390/en9050370

Author Huang, Yinuo
Guo, Chuangxin
Ding, Yi
Wang, Licheng
Zhu, Bingquan
Xu, Lizhong
Title A multi-period framework for coordinated dispatch of plug-in electric vehicles
Journal name Energies   Check publisher's open access policy
ISSN 1996-1073
Publication date 2016-05-16
Year available 2016
Sub-type Article (original research)
DOI 10.3390/en9050370
Open Access Status DOI
Volume 9
Issue 5
Start page 370.1
End page 370.16
Total pages 16
Place of publication Basel, Switzerland
Publisher MDPI AG
Language eng
Subject 1700 Computer Science
2105 Renewable Energy, Sustainability and the Environment
2102 Energy Engineering and Power Technology
2101 Energy (miscellaneous)
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.
Keyword Day-ahead dispatch
Interval optimization
PEV-clustered model
Plug-in electric vehicles (PEVs)
Priority-ordering method
Real-time dispatch
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 51537010
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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School of Information Technology and Electrical Engineering Publications
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