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
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
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 03 Jul 2016, 10:25:46 EST by System User on behalf of Learning and Research Services (UQ Library)