By Topic

Distributed generation placement to maximize the loadability of distribution system using genetic algorithm

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

4 Author(s)
Nuri, M. ; Dept. of Electr. Eng., Islamic Azad Univ., Saveh, Iran ; Miveh, M.R. ; Mirsaeidi, S. ; Gharibdoost, M.R.

The power industry experience revolution known as "Power Industry Structure Renewal" mainly due to increasing progresses in science and technology which will result in a gradual change in methods of communication with energy tools. Part of the revolution is the application of small generation units in power generation; units with lower generation volume capacity, and cost compared to the enormous generators and power station. Increasing demand for electrical energy along with increasing efficiency of small energy-generation units has made power companies to exploit the units in distribution system close to loads. These small energy-generation units which are connected to distribution system are referred to as "Distributed Generation" (DG). Privatization of power industry and development of renewable energy are among the other important factors in the expansion of these generation units. DGs play a key role in distribution system. Improvement of reliability, stability and loss-reduction indices are example of is considered as a key issue in the utilization of DGs. Also, loadability of distribution system and their enhancement have a key role in the performance of power system. Regarding the fact that positioning of DG resources for improvement of distribution system loadability index has not yet been taken into account, the present study indicates that placing and application of DGs by genetic algorithm optimization method will maximize loadability of power systems. This method has been simulated on IEEE standard network. The obtained results reveal the effectiveness of the proposed algorithm.

Published in:

Electrical Power Distribution Networks (EPDC), 2012 Proceedings of 17th Conference on

Date of Conference:

2-3 May 2012