Turkish Journal of Electrical
Power and Energy Systems
Research Article

Hybrid Optimization Technique for Solving Combined Economic Emission Dispatch Problem of Power Systems

1.

Department of Electrical and Electronic Engineering, Federal Polytechnic, Ede, Nigeria

2.

Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

Turkish Journal of Electrical Power and Energy Systems 2022; 2: 158-167
DOI: 10.5152/tepes.2022.22021
Read: 322 Downloads: 113 Published: 01 October 2022

Mathematical optimization provides the best possible results to a problem. The latest trend in optimization, called hybrid optimization methods, combines two or more optimization techniques, deterministic and non-deterministic, with the aim of overcoming the limitation of one technique by the advantage(s) of the other technique(s). A hybrid particle swarm bat algorithm optimization technique that uses the frequency tuning technique of bat algorithm at the velocity updating stage in particle swarm optimization (PSO) was developed for avoiding premature convergence limitation of PSO using the potential of BA to escape being trapped at local optimum. Implementation of the developed optimization method for solving the combined economic emission dispatch problem of 28 Bus 7 Generators Nigeria power network showed that H-PS-BA optimization method performed better than PSO by 0.07%.

Cite this article as: T. Muhammed Adekilekun, A. Gafari Abiola, O. Muniru Olajide, S. Mufutau Adewolu and B. Isaac Adekunle, "Hybrid optimization technique for solving combined economic emission dispatch problem of power systems," Turk J Electr Power Energy Syst, 2022; 2(2), 158-167.

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