Title :
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
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;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.78
