By Topic

Dynamic Load Economic Dispatch in Electricity Market Using Improved Particle Swarm Optimization 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

2 Author(s)
Xin Ma ; Sch. of Manage. & Economic, North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China ; Yong Liu

An improved strategy particle swarm optimization algorithm is proposed to solve the dynamic load economic dispatch problems in power systems. Many constraints such as ramp rate limits and prohibited zones are taken into account, and the loss is also calculated. On the basis of strategy particle swarm optimization algorithm, a new improved strategy is provided to handle the constraints and make sure the particles to satisfy the constraints. The strategy can guarantee the particles to search in or around the feasible solutions area combined with penalty functions. The accuracy and speed of the algorithm are improved for the particles will rarely search in the infeasible solutions area, and the results also show that the new algorithm has fast speed, high accuracy and good convergence.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on  (Volume:2 )

Date of Conference:

11-12 May 2010