Optimal power flow with distributed energy sources using whale optimization algorithm

<span lang="EN-US">Renewable energy generation is increasingly attractive since it <br /> non-polluting and viable. Recently, the technical economic performance of power system networks has been enhanced by integrating renewable sources (RES). This work focuses on size solar wind production replacing thermal to decrease cost losses a big electrical system. The Weibull Lognormal probability density functions are used calculate deliverable energy, be integrated into Due uncertain intermittent conditions these sources, their integration complicates optimal flow problem. paper proposes an (OPF) using whale optimization algorithm (WOA), solve for stochastic In this paper, ideal capacity RES along with generators determined considering total as objective function. proposed methodology tested IEEE-30 ensure its usefulness. Obtained results show effectiveness WOA when compared other algorithms like non-dominated sorting genetic (NSGA-II), grey wolf (GWO) particle swarm optimization-GWO (PSO-GWO).</span>