alexa Abstract | Multi-Objective Reactive Power Compensation Using Evolutionary Programming and Particle Swarm Optimization
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


The stress on the transmission lines are increasing day by day. So it is very difficult to install new transmission system. So it is better to enhance the performance of existing transmission system by Reactive Power Compensation. Reactive Power Compensation in Electric Power Systems is usually studied as constrained Single-Objective Optimization Problem where an objective function is a factor of transmission line losses only. This paper aims in Multi-Objective Optimization which includes the system voltage deviation, the active power loss in transmission lines and cost involved in reactive power compensation. This has been achieved by using optimization techniques namely Evolutionary Programming and Particle Swarm Optimization. The results of the two methods are compared with each other.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): J. Madhavan, K.R. Venkatesan

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version