By Topic

Reactive power and voltage control using micro-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
$33 $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)
Dong Guan ; College of Information Science and Engineering, Central South University, Changsha, 410083, China ; Zixing Cai ; Zhizhou Kong

In the paper, a micro-genetic algorithm (MGA) based approach to the optimization of reactive power and voltage profiles improvement and real power loss minimization is present. The proposed strategy aims to prevent voltage fluctuations and unconvergence cases by coordinating the operation of reactive power and voltage control equipments. The problem is formulated as a combinatorial nonlinear optimization problem. Genetic algorithms (GA) are well-known global search technique anchored on the mechanisms of natural selection and genetics. Because of the time intensive nature of the conventional GA, the MGA is proposed as a more time efficient alternative. The feasibility and effectiveness of the developed algorithm is tested and verified on the Hunan grid power system.

Published in:

2009 International Conference on Mechatronics and Automation

Date of Conference:

9-12 Aug. 2009