Salp swarm algorithm to combined economic and emission dispatch problems

The purpose of this paper is to present a Salp Swarm (SS) Algorithm for the solution of Combined Economic Emission Dispatch (CEED) problem. The production of electricity from the thermal power generation plants releases large containments of oxides of Nitrogen (NOx), Sulphur (SOx) and Carbon (COx) into the atmosphere. The CEED problem has been treated as a bi-objective optimization problem by taking economic and emissions simultaneously. SS algorithm is a recently suggested optimization algorithm based on swarming behaviour of salps when foraging and navigating in the oceans. To verify the robustness of the suggested SS algorithm is tested for CEED of two test systems with losses. All the results are carried out to demonstrate the effectiveness and validity of the scheme for practical applications. These study results have shown that the approach developed is efficient and suitable for real-time applications.

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Publication Details

Journal
International Journal of Engineering & Technology
Published
2026-04-20
DOI
https://doi.org/10.14419/ijet.v7i3.29.19182
Primary Topic
Electric Power System Optimization
Type
article
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article

Salp swarm algorithm to combined economic and emission dispatch problems

Mallikarjuna Bestha, R Kiranmayi, Y V. Siva Reddy
International Journal of Engineering & Technology
Electric Power System Optimization
article

Salp swarm algorithm to combined economic and emission dispatch problems

Mallikarjuna Bestha, R Kiranmayi, Y V. Siva Reddy
article en

Abstract

The purpose of this paper is to present a Salp Swarm (SS) Algorithm for the solution of Combined Economic Emission Dispatch (CEED) problem. The production of electricity from the thermal power generation plants releases large containments of oxides of Nitrogen (NOx), Sulphur (SOx) and Carbon (COx) into the atmosphere. The CEED problem has been treated as a bi-objective optimization problem by taking economic and emissions simultaneously. SS algorithm is a recently suggested optimization algorithm based on swarming behaviour of salps when foraging and navigating in the oceans. To verify the robustness of the suggested SS algorithm is tested for CEED of two test systems with losses. All the results are carried out to demonstrate the effectiveness and validity of the scheme for practical applications. These study results have shown that the approach developed is efficient and suitable for real-time applications.

International Journal of Engineering & TechnologyVol. 7(3.29)
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Openalex Percentile: Top 9%
Electric Power System Optimization
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