Research on optimal self‐scheduling horizon for the wind power and large‐scale CAES combined system

Abstract

The self-scheduling horizon is an important schedule parameter in the self-scheduling problem. A more reasonable self-scheduling horizon can lead to higher benefits of the wind farm (WF) and large-scale compressed air energy storage (CAES) combined system. However, very few studies have been reported about the optimisation of self-scheduling horizon for a WF paired with a CAES plant. In this study, a rolling day-ahead self-scheduling framework for a WF and CAES combined system is first proposed. After that, the self-scheduling horizon optimisation model is developed in the formulation of a bilayer stochastic chance-constrained optimisation problem. The proposed model is converted into its equivalent deterministic linear formulation and then is solved. Based on the developed model, the impacts of self-scheduling horizon on the profit of the combined system are analysed. Numerical simulation results indicate that the profit of the combined system increases after using the optimal self-scheduling horizon, and the profit increment is more obvious with the increase of the CAES's energy storage capacity.