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

Authors

  • Vinod Puri School of Engineering, Gautam Buddha University, Greater Noida, India
  • Yogesh K. Chauhan School of Engineering, Gautam Buddha University, Greater Noida, India
  • Nidhi Singh School of Engineering, Gautam Buddha University, Greater Noida, India

Keywords:

Particle swarm optimization, economic load dispatch, power system, optimization, etc.

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.

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

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Published

2016-06-17

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

Issue

Section

Engineering