Optimal sizing of battery energy storage systems considering degradation and replacement in microgrids
Abstract
In recent years, the integration of Battery Energy Storage Systems (BESS) has played a crucial role in ensuring the reliability and efficiency of microgrids. This paper presents an optimal sizing model for BESS, considering operational degradation and replacement over the system's lifecycle. The proposed model integrates technical, economic, and environmental aspects in the operation of microgrids, while also accounting for the degradation rate of batteries. A Mixed-Integer Nonlinear Programming (MINLP) approach is used to minimize the total system cost, including investment, operation, and replacement costs, while satisfying constraints related to load demand, renewable energy integration, and system reliability. Simulation results demonstrate that the proposed optimal model is highly effective in determining both the capacity and installation cost of the energy storage system. Additionally, the model can support the development of efficient operation scheduling and management strategies for BESS.