Next Article in Journal
Research on Operation Principle and Control of Novel Hybrid Excitation Bearingless Permanent Magnet Generator
Next Article in Special Issue
Optimal Isolation Control of Three-Port Active Converters as a Combined Charger for Electric Vehicles
Previous Article in Journal
A Conservation Voltage Reduction Scheme for a Distribution Systems with Intermittent Distributed Generators
Previous Article in Special Issue
New Electro-Thermal Battery Pack Model of an Electric Vehicle
Article Menu

Export Article

Open AccessArticle
Energies 2016, 9(9), 670; doi:10.3390/en9090670

A Regional Time-of-Use Electricity Price Based Optimal Charging Strategy for Electrical Vehicles

1
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
2
Computer School of Wuhan University, Wuhan 430072, China
3
State Grid Hunan Power Supply Company, Changsha 410007, China
*
Author to whom correspondence should be addressed.
Academic Editors: Michael Gerard Pecht and Ximing Cheng
Received: 30 May 2016 / Revised: 8 August 2016 / Accepted: 8 August 2016 / Published: 24 August 2016
View Full-Text   |   Download PDF [5780 KB, uploaded 24 August 2016]   |  

Abstract

With the popularization of electric vehicles (EVs), the out-of-order charging behaviors of large numbers of EVs will bring new challenges to the safe and economic operation of power systems. This paper studies an optimal charging strategy for EVs. For that a typical urban zone is divided into four regions, a regional time-of-use (RTOU) electricity price model is proposed to guide EVs when and where to charge considering spatial and temporal characteristics. In light of the elastic coefficient, the user response to the RTOU electricity price is analyzed, and also a bilayer optimization charging strategy including regional-layer and node-layer models is suggested to schedule the EVs. On the one hand, the regional layer model is designed to coordinate the EVs located in different time and space. On the other hand, the node layer model is built to schedule the EVs to charge in certain nodes. According to the simulations of an IEEE 33-bus distribution network, the performance of the proposed optimal charging strategy is verified. The results demonstrate that the proposed bilayer optimization strategy can effectively decrease the charging cost of users, mitigate the peak-valley load difference and the network loss. Besides, the RTOU electricity price shows better performance than the time-of-use (TOU) electricity price. View Full-Text
Keywords: electric vehicles; user responsivity; optimization scheduling; RTOU electricity price model; regional layer model; node layer model electric vehicles; user responsivity; optimization scheduling; RTOU electricity price model; regional layer model; node layer model
Figures

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Yang, J.; Chen, J.; Chen, L.; Wang, F.; Xie, P.; Zeng, C. A Regional Time-of-Use Electricity Price Based Optimal Charging Strategy for Electrical Vehicles. Energies 2016, 9, 670.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top