By Topic

Genetic-based algorithm for power economic load dispatch

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 $31
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

1 Author(s)
Chiang, C.-L. ; Dept. of Electron. Eng., Nan Kai Inst. of Technol., Nan-Tou

An improved genetic algorithm with multiplier updating (IGAMU) to solve practical power economic load dispatch (PELD) problems of different sizes and complexities with non-convex cost curves, where conventional mathematical methods are inapplicable, is developed. The improved genetic algorithm (IGA) provides an improved evolutionary direction operator and a migrating operator, enabling it to efficiently search and actively explore solutions. Multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function, which is adopted to manage the system constraints of PELD problems. The proposed IGAMU integrates the IGA with the MU. Two practical examples are employed to demonstrate that the proposed algorithm has the benefits of straightforwardness, ease of implementation, better effectiveness than previous methods, better effectiveness and efficiency than the genetic algorithm (GA) with MU (GA-MU), automatic adjustment of the randomly assigned penalty to an appropriate value and the requirement for only a small population when applied to real-life PELD operations

Published in:

Generation, Transmission & Distribution, IET  (Volume:1 ,  Issue: 2 )