Optimal Allocation of Battery Energy Storage System for Integrated Power and Natural Gas Systems

This study deals with the optimal allocation of Battery Energy Storage Systems (BESS) for integrated power and natural gas systems. The penetration of renewable energy resources was also considered in the simulations. The final goal is to determine the optimal capacity and location of the BESS by minimizing the investment cost of the BESS and the operation cost of the system. In addition, the Operation and Maintenance (O&M) costs of the BESS are also considered. The lifetime of the BESS is used as a time horizon for benefit and cost analyses. Furthermore, the operational problem was simulated as a multi-period optimal power and natural gas system. Several electrical system and natural gas system constraints were incorporated. The overall problem was formulated as Mixed-Integer Nonlinear programming problem and solved using hybrid Particle Swarm Optimization (PSO) and Interior Point Optimization (IPOPT) methods. The PSO is used in the main optimization problem and aims to determine the optimal size and location of energy storage, while the IPOPT is utilized in the suboptimization operational problems. Integrated IEEE 24 buses electrical systems and 20 buses natural gas systems are used to demonstrate the effectiveness of the proposed approach.