The significance of Unit Commitment on the IEEE Network Using an Improved Artificial Bee Colony Algorithm

Lawal I. O., Muhammad I. B., Ibrahim K. A., haruna Y. S.

Abstract


This paper presents a Unit Ccommitment Problem (UCP) being one of the most difficult optimization tasks in power system and has the prospective of saving cost related to fuel and others constraints. The main objective of this research work is to solve UC problem using an improved Artificial Bee Colony Algorithm (iABC) in order to attain minimum operating cost while satisfying all the constraints over a period of time after proper scheduling of the generating units. The results obtained during the implementation of the hydrothermal unit commitment solution using the artificial bee colony and improved artificial bee colony were presented. The improved artificial bee colony is tested on the IEEE network and compared with other metaheuristic methods. A detailed analysis was carried out and the foremost results for the iABC parameters were obtained for the IEEE 10 generating units network. The outcome of the results from the IEEE 10 generating units test case shows that dynamic programing, particle Swarm, genetic algorithm, bacteria foraging, artificial bee colony and the improved artificial bee colony obtained had the following fuel cost of $910,099, $887,899, $999,856, $776,688, $676,567, and $600,123 respectively. iABC had the lowest cost and dynamic programing had the highest cost. This shows that iABC performed better than the remaining algorithms. Therefore, the improved artificial bee colony algorithm tested on the IEEE 10 generating units performed better than the conventional ABC and other meta-heuristic methods in the literature in terms of fuel cost minimization.


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References


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Lawal, I. O. (2023). The significance of unit commitment problem on IEEE network through the Application of an Improved Artificial Bee Colony Algorithm. Unpublished M.Eng Thesis, Abubakar Tafawa Balewa University, Bauchi Nigeria.


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