| 引用本文: | 陈 伟,吴 阳,裴婷婷,等.考虑随机冲击和退化过程的光伏组件组合维修策略[J].电力系统保护与控制,2026,54(08):37-46. |
| CHEN Wei,WU Yang,PEI Tingting,et al.Combined maintenance strategy for PV modules considering random shocks and degradation processes[J].Power System Protection and Control,2026,54(08):37-46 |
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| 摘要: |
| 针对现有光伏组件维修策略多依赖固定周期巡检、难以反映随机冲击与非平稳退化特性的不足，提出一种考虑随机冲击和退化过程的组合维修策略。首先，通过剩余使用寿命分位数自适应确定巡检间隔。其次，基于分层触发逻辑设定维护阈值与每个完美预防性维修周期内不完美预防性维修的次数，并在达到失效阈值时执行纠正性维修，建立年均成本率模型。最后，采用海洋捕食者算法对维修阈值以及不完美预防性维修次数进行优化，获得最优维修策略。仿真结果表明，该方法较传统模型在经济性与可靠性之间实现了更优平衡，验证了所提模型与策略的有效性。 |
| 关键词: 光伏组件 非平稳 Gamma 退化 随机冲击 组合维修 海洋捕食者算法 |
| DOI：10.19783/j.cnki.pspc.250974 |
| 分类号: |
| 基金项目:国家自然科学基金项目（51767017）；甘肃省联合科研基金重大项目（25JRRA1143）；甘肃省重点研发计划项目（25YFGA032） |
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| Combined maintenance strategy for PV modules considering random shocks and degradation processes |
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CHEN Wei, WU Yang, PEI Tingting, WANG Ao, WEI Zhi
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School of Electrical Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
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| Abstract: |
| 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. |
| Key words: photovoltaic module non-stationary Gamma degradation random shock combined maintenance strategy marine predator algorithm |
