考虑随机冲击和退化过程的光伏组件组合维修策略OA

To address the limitations of existing photovoltaic module maintenance strategies that largely rely on fixed-interval inspections and fail to capture the effects of random shocks and non-stationary degradation characteristics,this paper proposes a combined maintenance strategy considering both random shocks and degradation processes.First,inspection intervals are adaptively determined based on the quantiles of the remaining useful life.Second,maintenance thresholds and the number of imperfect preventive maintenance actions within each perfect preventive maintenance cycle are defined using a hierarchical trigger logic.Corrective maintenance is performed when the failure threshold is reached,and an annual average cost rate model is established.Finally,the marine predator algorithm is used to optimize the maintenance thresholds and the number of imperfect preventive maintenance actions,yielding the optimal maintenance strategy.Simulation results show that the proposed method achieves a better balance between economic performance and reliability compared to traditional models,verifying the effectiveness of the proposed model and strategy.