Study of The Economic Dispatch Problem on IEEE 30-Bus System using Whale Optimization Algorithm

Authors

  • Haider J. Touma University of Technology, Iraq

DOI:

https://doi.org/10.15282/ijets.5.2016.1.2.1041

Keywords:

Whale Optimization Algorithm (WOA), Economic Dispatch (ED), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Genetic Algorithm (GA)

Abstract

This work presents one of the latest meta heuristic optimization approaches named Whale Optimization Algorithm method as a new strategy to solve the Economic Dispatch problem . The execution of the utilized algorithm is verified using standard test system of IEEE 30-Bus. The proposed algorithm delivered optimum or close optimum solutions. The achieved results in this study using the above mentioned Algorithm have been compared with the obtained results using other intelligent methods such as Particle Swarm Optimization, Ant Colony optimization and Genetic Algorithm. The comparison explained the obtained results in this study are close to these obtained using the above revealed approaches.

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Published

2016-06-30

Issue

Section

Articles