Particle Swarm Optimization of Economic Dispatch Problem: A Brief Review Transfer

Faghihnia, Elahe; Khaleghi, Sadegh; Moghaddam, Reihaneh Kardehi; Zarif, Mahdi

doi:10.5220/0005507400720077

Cited by 4 publications

(1 citation statement)

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“…Solution to economic dispatch optimization drives at operating our power system in a manner that minimizes the costs on generation. The best way to minimize the current generator operating costs is determined by optimal dispatch [6,7]. Several existing approaches for solving optimal dispatch problem have been presented in the literature.…”

Section: Introductionmentioning

confidence: 99%

Solving optimal generation dispatch problem in power networks through pso and lambda iteration techniques

Alayande¹,

Okakwu²

2019

Nig. J. Tech.

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Efficient solution to the problem of economic dispatch of network generators has been a growing concern to power system utilities in recent times. This is aimed at determining the optimal allocation of the total network demand among the available generating units such that the total cost of generation is reduced while maintaining an acceptable generation output subject to specified system constraints. This paper, therefore, attempts to resolve this issue from two main perspectives; Lambda Iterative-based approach and Particle Swarm Optimization (PSO) technique. The theoretical backgrounds as well as the mathematical formulations for the two approaches are presented. The standard IEEE 14-Bus, IEEE 30-Bus and the Indian 62-Bus networks are used as case studies to present illustrative examples for the approach. The simulation results obtained using the two approaches are presented and compared. The comparisons of the results obtained show that the two approaches are suitable for providing efficient solutions to economic dispatch problems in large power networks.

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Section: Introductionmentioning

confidence: 99%