Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based

Renewable energy sources (RES) such as wind turbines (WT) and solar cells have attracted the attention of power system operators users alike, thanks to their lack environmental pollution, independence fossil fuels, meager marginal costs. With introduction RES, challenges faced unit commitment (UC) problem a traditional optimization aiming minimize total costs by optimally determining units’ inputs outputs, specifying optimal generation each unit. The output RES WT depends on natural factors speed irradiation that are riddled with uncertainty. As result, UC in presence faces uncertainties. grid consumed load is not always equal randomly different from predicted values, which also contributes uncertainty solving aforementioned problem. current study proposes novel two-stage model farm uncertainties for security-constrained overcome this new adopted solve wind-generated uncertainty, storage systems (ESSs) included further management. written an uncertain stochastic nature security-constrains undispatchable resources units. To programming model, hybrid honey bee mating bacterial foraging algorithm employed reduce complexity achieve results.