Optimization model for the power system scheduling with wind generation and compressed air energy storage combination

Abstract

When energy storage is involved in the power system scheduling, the new challenge is presented as the storage facilities can be considered as either a generator (discharging) or a load (charging). To address this challenge, the paper proposes a method of optimization of power system scheduling with the first generation of compressed air energy storage (CAES) This model takes gas consumption cost as one of the operation cost, and it can reflect inherent operation constrains of a first generation CAES plant. With simplifications of the CAES system model, the relationship between the key variables used in CAES scheduling model are identified. An optimization model for scheduling of wind generations and CAES combined system is then developed. The objective of this optimization scheduling model is to maximize the combined system operation profit which involves in selling electricity revenue, penalty for deviation from declared output and gas consumption cost of CAES. Simulation studies are carried out with the operation data of the Huntorf CAES plant. The simulation results show that the optimization model works well for power system scheduling while the CAES and wind power generations are presented.