Economic Load Dispatch Problem using Particle Swarm Optimization with Inertial Weight and Constriction Factor

Main Article Content

Vinod Puri
Yogesh K. Chauhan
Nidhi Singh

Abstract

The Economic Load dispatch (ELD) problem plays a significant role in the functioning of power systems. It is used in determining the optimal cost for satisfying the demand with available electric generation resources. The ELD problem of thermal units results in significant saving for electrical utilities. The formation of ELD has been discussed and solution is obtained by Particle swarm optimization (PSO). The algorithms based on various PSO variants such as inclusion of inertia weight (named as I-PSO); constriction factor (C-PSO) and constriction factor-inertia weight (CI-PSO) have been developed and have been tested on systems comprising four and six units. The results obtained with the proposed PSO techniques are matched with the existing results, which thereby show the correctness and effectiveness of the developed algorithm.

Article Details

How to Cite
Puri, V., Chauhan, Y. K., & Singh, N. (2016). Economic Load Dispatch Problem using Particle Swarm Optimization with Inertial Weight and Constriction Factor. Science & Technology Asia, 21(2), 52–60. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/59015
Section
Engineering
Author Biographies

Vinod Puri, School of Engineering, Gautam Buddha University, Greater Noida, India

School of Engineering, Gautam Buddha University, Greater Noida, India

Yogesh K. Chauhan, School of Engineering, Gautam Buddha University, Greater Noida, India

School of Engineering, Gautam Buddha University, Greater Noida, India

Nidhi Singh, School of Engineering, Gautam Buddha University, Greater Noida, India

School of Engineering, Gautam Buddha University, Greater Noida, India