Optimizing generation cost and reducing gas emissions in power generation using the Artificial Bee Rabbit Optimization algorithm

Hashim, Mohd Ruzaini and Lee, Wei Wen and Gan, Chin Kim (2025) Optimizing generation cost and reducing gas emissions in power generation using the Artificial Bee Rabbit Optimization algorithm. IIUM Engineering Journal, Special Issue in Mechanical Engineering, 26 (3). pp. 343-359. ISSN 1511-788X

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Official URL: https://journals.iium.edu.my/ejournal/index.php/ii...

Abstract

This study develops a hybrid metaheuristic optimization algorithm named Artificial Bee Rabbit Optimization (ABRO) to improve generation cost efficiency and reduce gas emissions in power generation systems. By integrating the strengths of the Artificial Bee Colony (ABC) and Artificial Rabbits Optimization (ARO) algorithms, ABRO aims to overcome issues such as premature convergence and slow convergence speed commonly observed in ABC and ARO. This paper evaluates and compares the ABRO algorithm against a collection of optimization algorithms, such as ABC, ARO, the Crow Search (CSA) algorithm, and the Artificial Jellyfish Search (JS) algorithm. The evaluation covers four benchmark functions and extends to engineering applications, specifically in solving the economic dispatch, emission dispatch, and an integrated objective that considers financial and emission dispatch aspects for the IEEE 26-bus system. The simulation results show that ABRO generally outperforms the competing algorithms tested in solving various benchmark functions. ABRO consistently achieved the lowest mean, standard deviation, and minimum values, demonstrating superior convergence speed, robustness, and accuracy. Furthermore, the ABRO algorithm effectively enhances optimization regarding generation cost, generation emission, and an integrated objective that considers both economic and emission dispatch aspects for the IEEE 26-bus system.

Item Type:	Article
Uncontrolled Keywords:	Artificial Bee Colony, Optimization algorithm, Hybrid algorithm, Economic dispatch, Emission dispatch
Divisions:	Faculty Of Electrical Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	17 Jul 2026 07:16
Last Modified:	17 Jul 2026 07:16
URI:	http://eprints.utem.edu.my/id/eprint/29987
Statistic Details:	View Download Statistic

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