An Improved Cultural Particle Swarm Optimization Algorithm Based on Feedback Mechanism for Economic Load Dispatch Problems

Author

Wu Ya-li ; Xu Li-qing

Author_Institution

Autom. & Inf. Eng. Sch., Xi´an Univ. of Technol., Xi´an, China

fYear

2010

fDate

26-28 Sept. 2010

Firstpage

319

Lastpage

322

Abstract

Combined the double-layer evolution structure of cultural algorithm with local search performance of particle swarm optimization, a new cultural particle swarm optimization algorithm with feedback mechanism is proposed to solve economic load dispatch (ELD) problems in power system. To keep the particle diversity of the population space, PID controller is designed to control evolution velocity weight of the particle according to its current fitness value. An ELD problem is employed to valid the efficiency and the effectiveness of the proposed algorithm.

Keywords

control system synthesis; feedback; load dispatching; particle swarm optimisation; power system economics; three-term control; velocity control; PID controller; current fitness value; economic load dispatch problems; evolution velocity weight control; feedback mechanism; improved cultural particle swarm optimization algorithm; local search performance; particle diversity; population space; power system; Aerospace electronics; Algorithm design and analysis; Cultural differences; Economics; Optimization; Particle swarm optimization; Power systems; cultural algorithm; economic load dispatch (ELD); feedback control; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Aspects of Social Networks (CASoN), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-8785-1

Type

conf

DOI

10.1109/CASoN.2010.78

Filename

5636716