Review on population-based metaheuristic search techniques for optimal power flow
Firefly Algorithm
Parallel metaheuristic
Differential Evolution
DOI:
10.11591/ijeecs.v15.i1.pp373-381
Publication Date:
2019-04-20T16:48:18Z
AUTHORS (4)
ABSTRACT
<span>Optimal power flow (OPF) is a non-linear solution which significantly important in order to analyze the system operation. The use of optimization algorithm essential solve OPF problems. <br /> emergence machine learning presents further techniques capable problem. performance and key aspects enhances effectiveness these are compared within several metaheuristic search techniques. This includes operation particle swarm (PSO) algorithm, firefly (FA), artificial bee colony (ABC) ant (ACO) differential evolution (DE) algorithm. paper reviews on elements that need be considered when selecting problem operation.</span>
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