A Comprehensive guide to economic emission dispatch in wind-fossil-fuel power systems using Gold rush optimizer

For Economic load-dispatch (ELD) in this article, we will introduce a new population-based metaheuristic algorithm approach named Gold rush optimizer (GRO) based on how gold-seekers prospected for gold during the gold rush Era. Nonlinear characteristics of a generator, such as valve point continuity, are considered in the issue. The GRO algorithm is a dependable and effective solution for nonlinear ELD issues. The proposed technique has been built and evaluated in four test systems. The results confirm the suggested algorithm’s potential and effectiveness when compared to other approaches available in the literature. The results are quite encouraging, demonstrating that GRO is an extremely successful optimization strategy for solving a variety of ELD problems.

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Publication Details

Published
2025-04-05
DOI
https://doi.org/10.1109/devic63749.2025.11012150
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

A Comprehensive guide to economic emission dispatch in wind-fossil-fuel power systems using Gold rush optimizer

Provas Kumar Roy, Anindya Sarkar, Barun Mandal, Shyamal Das
1 citations
Electric Power System Optimization
0.73
article

A Comprehensive guide to economic emission dispatch in wind-fossil-fuel power systems using Gold rush optimizer

Provas Kumar Roy, Anindya Sarkar, Barun Mandal, Shyamal Das
article en
1 citations

Abstract

For Economic load-dispatch (ELD) in this article, we will introduce a new population-based metaheuristic algorithm approach named Gold rush optimizer (GRO) based on how gold-seekers prospected for gold during the gold rush Era. Nonlinear characteristics of a generator, such as valve point continuity, are considered in the issue. The GRO algorithm is a dependable and effective solution for nonlinear ELD issues. The proposed technique has been built and evaluated in four test systems. The results confirm the suggested algorithm’s potential and effectiveness when compared to other approaches available in the literature. The results are quite encouraging, demonstrating that GRO is an extremely successful optimization strategy for solving a variety of ELD problems.

University of Kalyani (IN)
Affordable and clean energy
Openalex Percentile: Top 28%
Electric Power System Optimization
0.73
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