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Engineering Review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin, Vol. 40 No. 3, 2020.

Original scientific paper

https://doi.org/10.30765/er.40.3.10

Hybrid PSOGSA technique for solving dynamic economic emission dispatch problem

Hardiansyah Hardiansyah orcid id orcid.org/0000-0003-2971-3058 ; Tanjungpura University

Full text: english PDF 331 Kb

page 96-104

downloads: 367

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Abstract

In this paper, a new hybrid population-based algorithm is proposed with the combining of particle swarm optimization (PSO) and gravitational search algorithm (GSA) techniques. The main idea is to integrate the ability of exploration in PSO with the ability of exploration in the GSA to synthesize both algorithms’ strength. The new algorithm is implemented to the dynamic economic emission dispatch (DEED) problem to minimize both fuel cost and emission simultaneously under a set of constraints. To demonstrate the efficiency of the proposed algorithm, a 5-unit test system is used. The results show the effectiveness and superiority of the proposed method when compared to the results of other optimization algorithms reported in the literature.

Keywords

particle swarm optimization; gravitational search algorithm; dynamic economic emission dispatch; ramp rate limits; prohibited operating zones; valve-point effects

Hrčak ID:

238269

URI

https://hrcak.srce.hr/238269

Publication date:

21.5.2020.

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