A transmission-constrained stochastic unit commitment model with real-time pricing for high wind power integration

Large-scale integration of wind power poses operational challenges to power system operation. Demand Response (DR) is becoming an effective way to address wind power fluctuation and uncertainty. This paper proposed a transmission-constrained stochastic unit commitment model to determine the coordination optimization scheme with both generation and demand side considered. The proposed model has two features: it will achieve co-optimal DR resource and generators operation by two-stage programming considering all wind power scenarios to cope with wind power uncertainty and the influence of transmission constraint is also included in this paper. Case study based on PJM-5 bus System indicates that stochastic model performs much better than deterministic one for the significantly reduced operation cost. DR broadly distributed in power system can be flexibly deployed to adapt to the fluctuating and uncertain operation conditions to minimize operation cost and improve wind power utilization rate.