Primary frequency response with stochastic scheduling under uncertain photovoltaic generation

Bulk integration of uncertain PV generation is likely to pose real-time operational challenges for the system operators to provide primary frequency response (PFR). PFR requirement for frequency stability has been recognized widely and its impact on the generation scheduling needs indepth investigation. This necessitates optimized PFR from generation scheduling and quantification of associated uncertainty. In this perspective, this paper put forward a novel stochastic scheduling model for operation and PFR cost minimization, with optimized PFR under PV generation uncertainty. Moreover, the impact of frequency response parameter variation on operation cost and PV generation curtailment is investigated. Case studies are carried out on one area IEEE RTS and the proposed method is compared with the conventional deterministic unit commitment (DUC). Results show the efficacy of the proposed method in terms of optimized PFR, operation cost reduction, PFR cost, PV curtailment and potential to address uncertainties for low carbon systems.