Computing Behavior Strategies of Harvest Season Artificial Bee Colony Algorithm on the Combined Economic and Emission Dispatch

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A.N. Afandi, W.A. Farrel Candra, Daisuke Tashima, Goro Fujita

2025 2025 9th International Conference on Electrical, Electronics and Information Engineering, ICEEIE 2025 Conference paper Cited by 0 Quartile

Abstract

Based on the potential power generation that is planned for the entire working period, the power system should be operated in the best possible combination. In order to supply energy to the demand, every generating unit must adhere to a number of requirements and limitations. How to choose the combination in an energy-efficient manner while taking economic factors into account is one of the primary issues. Operational system economization, which aims to save operational costs, has gained greater attention recently. Based on the cost of generating units, the economic power system illustrates one of the economic operations. This operation strategy is implemented using a combined economic and emission dispatch (CEED) that takes fuel procurement and environmental constraints into account while focusing on the requirements of the overall load demand. This stage, which is optimized using the harvest season artificial bee colony (HSABC) algorithm as a balancing parameter control, is described in this study. The purpose of this parameter is to obtain the best possible answer from CEED. On the CEED problem, it has generally demonstrated that HSABC has good convergence. The IEEE-62 bus system model has been used to test the findings. © 2025 IEEE.

Affiliations

Universitas Negeri Malang, Department of Electrical Engineering and Informatics, Malang, Indonesia; Smart Power and Advanced Energy System (SPAES) Research Center, Batu, Indonesia; Universitas Brawijaya, Department of Information System, Batu, Indonesia; Fukuoka Institute of Technology, Department of Electrical Engineering, Fukuoka, Japan; Shibaura Institute of Technology, Department of Electrical Engineering, Tokyo, Japan