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

Year 2022, Volume: 2 Issue: 2, 158 - 167, 31.10.2022

Muhammed Adekilekun Tijani Gafari Abiola Adepoju Muniru Olajide Okelola Mufutau Adewolu Sanusi Isaac Adekunle Bamikefa

https://doi.org/10.5152/tepes.2022.22021

https://izlik.org/JA65RB72TL

Abstract

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%.

Keywords

Bat algorithm , combined economic emission dispatch , hybrid optimization , non-deterministic optimization , particle swarm optimization.

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