Exploiting the operational flexibility of AA-CAES in energy and reserve optimization scheduling by a linear reserve model

Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) is expected to play a crucial role in providing energy shifting and fast regulation to variable renewable energy generation because of its large capacity and fast response. However, due to the complex operation characteristics of AA-CAES, there are few studies on AA-CAES optimal operation providing energy and reserve for power systems. Therefore, a new robust scheduling approach is proposed, in which the operation of AA-CAES is precisely characterized by the synergetic energy and reserve market. To fully exploit the operational flexibility of AA-CAES, this paper proposes a linear reserve model of AA-CAES by quickly switching working modes. The energy storage-reserve constraint is established to ensure the deliverability of reserve services. Then, an enhanced column and constraint generation (C&CG) algorithm is proposed to solve the proposed model. Finally, the proposed method is applied to the Garver-6 bus and IEEE-118 bus systems in the MATLAB operating environment. Numerical simulation results indicate that AA-CAES participating in power system scheduling can reduce the generation and reserve cost of conventional units, and improve wind power accommodation. By quickly switching the working mode, the adjustable reserve margin of AA-CAES can be effectively improved. In addition, compared with the existing nested C&CG algorithm, the enhanced C&CG algorithm effectively improves the solution efficiency of the proposed model.