Stochastic optimal dispatch of integrating concentrating solar power plants with wind farms

Abstract

Power systems face many challenges since the large-scale application of uncertain renewable energy. Concentrating solar power (CSP) plants with thermal energy storage (TES) can make solar energy a schedulable resource without increasing system uncertainty. Therefore, we consider manage uncertainty locally to integrate CSP plants with wind farms, reduce the uncertainty of output, and improve overall regulation efficiency and reliability. First, based on the energy transfer process between the modules of the CSP plant, we establish a CSP plant model in detail. And then considering the influence of solar direct normal irradiance (DNI) and wind power uncertainty on the dispatching operation, a stochastic optimal dispatch model is established. At last, the validity of the model is verified through an example. The analysis shows the advantages of combining CSP plants and wind farms, in addition to this, the influence of different confidence levels of chance constrained programming (CCP) on the entire system economy and spinning reserve capacity is also well illustrated.