By Topic

Optimal Multi-objective Reactive Power Dispatch Considering Static Voltage Stability Based on Dynamic Multi-group Self-Adaptive Differential Evolution 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

3 Author(s)
Xuexia Zhang ; Southwest Jiaotong Univ., Chengdu, China ; Weirong Chen ; Suganthan, P.N.

Optimizing multi-objective reactive power dispatch in power systems is an effective way of improving voltage quality, decreasing active power losses and increasing voltage stability margin. This is a non-linear, constrained, non-convex, mixed discrete-continuous variable problem. Recently, computational intelligence-based methods such as genetic algorithms (GAs), differential evolution (DE) algorithms, particle swarm optimization (PSO) algorithms and immune algorithms (IAs) have been applied to solve this problem. This paper employs dynamic multi-group self-adaptive differential evolution (DMSDE) algorithm to solve multi-objective reactive power optimization problem. In DMSDE, the population is divided into multiple groups which exchange information dynamically. Further, in the mutation phase, the best vector among the three randomly vectors is used as the base vector while the difference vector is determined by the remaining two vectors. Moreover, two parameters, F and CR, are self-adapted. The presented method is tested on IEEE 30-bus, IEEE 57-bus and IEEE 118-bus power systems. The numerical results, when compared with other algorithms, show that DMSDE is an efficient tool to solve dispatch reactive power flow problem.

Published in:

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Date of Conference:

6-7 Jan. 2012