Unit Commitment and Optimal Power Flow Based Optimal Sizing Strategy of Energy Storage Systems

Abstract

This paper proposes a new strategy to optimally size an energy storage system (ESS) based on optimization problems in power systems. These optimization problems are unit commitment (UC) which is solved using mixed-integer linear programming (MILP), DC optimal power flow (DC-OPF) which is solved using linear programming (LP), and AC optimal power flow (AC-OPF) which is solved using non-linear programming (NLP). The proposed strategy is tested on the IEEE Reliability Test System (RTS-96) 24-bus system. The results show the effectiveness of integrating an ESS to a power system, which is a microgrid in this paper. General algebraic modeling system (GAMS) is used to model and solve the proposed models.