Unit Commitment in Power System by Combination of Dynamic Programming, Genetic Algorithm and Particle Swarm Optimization

Fazlollah Rouhi  and Reza Effatnejad

doi:10.17485/ijst/2014/v7i12.27

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i12.27

Year: 2014, Volume: 7, Issue: 12, Pages: 2056–2063

Original Article

Unit Commitment in Power System by Combination of Dynamic Programming, Genetic Algorithm and Particle Swarm Optimization

Fazlollah Rouhi¹ and Reza Effatnejad^2*

1 Department of Electrical Engineering, Alborz Branch-University of Science and Research, Islamic Azad University-Alborz-Iran; fazlolaruhi@yahoo.com
2 Electrical Engineering Department, Karaj Branch, Islamic Azad University, Alborz, Iran; Reza.efatnejad@kiau.ac.ir

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In this paper, a hybrid method is proposed for dynamic programming, genetic algorithm and particle swarm optimization in order to solve the unit commitment of power systems considering system security constraints. The condition of the units to be on or off and economic dispatch are determined and solved by considering system security constraints through previously mentioned combination method. The simulation result is shown that hybrid system is a good methodology for unit commitment. The result is evaluated for experimental case study considering all constraint in power system; the results obtained are acceptable.

Keywords: Combinatorial Solution Strategy, Dynamic Programming (DP), Genetic Algorithm (GA), SCUC Security Constrained Unit Commitment, Particle Swarm Optimization (PSO)