By Topic

Loss Minimization of Distribution Systems with Electric Vehicles by Network Reconfiguration

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rung-Fang Chang ; Dept. of Electr. Eng., Kao Yuan Univ., Kaohsiung, Taiwan ; Ya-Chin Chang ; Chan-Nan Lu

In order to resolve the problems of environmental pollution, depleting natural oil, fossil fuel reserves and rising petrol costs, the plans to deploy electric vehicles (EVs) are growing all over the world, especially in the developed countries. In this paper, the statistic data in “The EV Project” is used to build the EVs charging model so as to account for the stochastic nature of the starting and ending times required to charge individual batteries and the power charged from the distribution system for each hour. With the additional demand each hour, the daily load profile of the distribution system thus changes and, as a result, the system loss will become bigger and several security violations could happen. Accordingly, the loss minimization procedure with network reconfiguration proposed in the paper is mainly aimed to minimize system loss each hour for the distribution network with rational EVs deployment as referred to “The EV Project”. Test results for a three feeders' network with EVs deployment have validated the performance of the proposed method.

Published in:

Control Engineering and Communication Technology (ICCECT), 2012 International Conference on

Date of Conference:

7-9 Dec. 2012