An online method for MILP co‐planning model of large‐scale transmission expansion planning and energy storage systems considering N‐1 criterion

Abstract In recent years, increased integration of renewable energy sources (RES) calls for extensive and costly investments in transmission networks. In response, power system decision‐makers try to apply alternative solutions aimed to decrease the imposed investment costs. In this context, the presence of large‐scale energy storage systems (ESSs) in transmission network can be a practical option for deferring investment in expansion plans of transmission lines, alleviating system congestions, and attaining higher flexibility. In this paper, an efficient model is proposed for co‐planning expansion studies of compressed air energy storage (CAES) units and transmission networks. The associated optimisation formulation of co‐planning problem is expressed as a MILP model, which can be efficiently solved. The proposed model is applied on the Garver as well as RTS test systems and N‐1 criterion is considered to address the system reliability performance in expansion studies. The results demonstrate that the proposed co‐planning framework has a superior performance in expansion plans of transmission systems.

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