Economic Analysis of Coordinated Optimal Allocation of Wind Energy Storage in Parks Based on Linear Programming and Enumeration Iteration Methods

Abstract

The construction of park microgrids increasingly relies on wind and photovoltaic (PV) generation as the main sources of renewable power. However, the inherent variability and intermittency of these sources often lead to a mismatch between generation and actual load demand, causing inefficiencies and resource waste. To address this issue, this paper proposes an optimized method for configuring wind power, PV generation, and energy storage systems in park microgrids. The method utilizes linear programming and iterative enumeration techniques to determine the optimal energy storage configuration, aiming to minimize electricity purchase costs and maximize the economic benefits of renewable energy. This approach covers the analysis of different operational scenarios, including independent operation, integrated operation, and coordinated wind-PV-storage configurations. The results show that integrating energy storage systems significantly reduces electricity purchase costs and energy curtailment, while enhancing the overall economic performance of park microgrids. These findings provide valuable insights for optimizing energy storage configurations and improving the economic feasibility of renewable energy integration in park microgrids.