Citation :

M. Z. Mat Rosdi1, E. E. Hassan, M. R. Hashim, Z. M. Yasin, N Z Saharuddin, N Bahaman, "Optimization of Environmental and Economic Load Dispatch with Renewable Energy Integration using a Modified Artificial Bee Colony Algorithm," International Journal of Electrical and Electronics Engineering, vol. 13, no. 4, pp. 20-29, 2026. Crossref, https://doi.org/10.14445/23488379/IJEEE-V13I4P102

Abstract

Increase in electricity demand necessitated by population pressures, industrialization, and enhancing living conditions, is escalating operational and environmental pressures of the existing power systems, which has led to the Environmental and Economic Load Dispatch (EELD) dilemma. Most of our energy needs are still largely supplied by power plants that burn fossil fuels. Burning fossil fuels releases several toxic chemicals into the atmosphere, such as sulfur dioxide (SO2), carbon dioxide (CO2), and nitrogen oxides (NOx). The ecosystem is negatively impacted by those pollutants. To deal with the problem, this report presents an innovative variant in the step size of the Artificial Bee Colony (ABC) algorithm that minimizes total power generation costs, total emissions, and power losses while satisfying the usual equality and inequality constraints through optimization. It was inspired by honeybees' foraging intelligence; the ABC algorithm outperformed other genetic methods for the economic load dispatch problem solution. The introduced methods investigated the performance by evaluating 10 benchmark functions using Basic Artificial Bee Colony (Basic ABC) and Modified Step Size ABC (ABC-MSS) that tested for the IEEE 26 and 57 bus system. Results demonstrate the convergence speed and the ability to obtain a superior performance of the benchmark function. Other than that, the proposed methods also contribute to evaluating the performance of the bus system by substituting Renewable Energy (RE), which is a solar generator, with any generator in the bus system and comparing it with the bus system without RE solar generator. From the results, the output of the ABC-MSS algorithm reflects better optimization results in solving the EELD issue.

Keywords

Artificial Bee Colony (ABC), Environmental and Economic Load Dispatch (EELD), Renewable Energy (RE), Emission reduction, Generator.

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