Energy Microgrid Equipment Capacity Optimization Based on Different Price Factors

Energy prices have the significant impacts on equipment capacity configuration in the design of energy microgrids. Addressing this issue, this article proposes a method for optimizing the equipment capacity configuration considering price sensitivity indicators. A capacity optimization configuration model is established with investment cost, maintenance cost, and fuel cost economy as objectives, with power balance constraints, and solved using the CPLEX solver. Case studies demonstrate the rationality of capacity optimization configuration and analyze the impact of various price factors on the optimization results based on sensitivity analysis.