Luo Hao

Dalian Ocean University

Abstract：

With the increasing penetration of renewable energy sources, the optimal operation of microgrids (MGs) has become a pivotal challenge, particularly in balancing economic efficiency with system reliability. This paper proposes a comprehensive optimization strategy for standalone microgrids based on an Improved Particle Swarm Optimization (IPSO) algorithm. Firstly, mathematical models for photovoltaic (PV), wind turbines (WT), diesel generators (DG), and energy storage systems (ESS) are established. A multi-objective function is constructed to minimize the total life-cycle cost (TLCC) and the loss of power supply probability (LPSP). To address the premature convergence and local optima issues inherent in standard PSO, an adaptive inertia weight strategy combined with a Levy flight mutation operator is introduced. Simulation results based on a real-world microgrid case study demonstrate that the proposed IPSO algorithm reduces the total operating cost by 12.4% and improves reliability by 8.5% compared to standard PSO. The findings validate the robustness and engineering applicability of the proposed method in complex dispatch scenarios.

Key Words：

microgrid; economic dispatch; reliability; Improved Particle Swarm Optimization (IPSO); multi-objective optimization