自然降雨驱动的光伏组件清洁周期动态更新策略研究

刘卫东; 吴锦华; 胡珊; 闻海浪

doi:10.19912/j.0254-0096.tynxb.2023-1446

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (1) : 615-623. DOI: 10.19912/j.0254-0096.tynxb.2023-1446

自然降雨驱动的光伏组件清洁周期动态更新策略研究

刘卫东, 吴锦华, 胡珊, 闻海浪

作者信息 +

RESEARCH ON DYNAMIC UPDATE STRATEGY OF CLEANING CYCLE FOR PHOTOVOLTAIC MODULES DRIVEN BY EFFECT OF NATURAL RAINFALL

Liu Weidong, Wu Jinhua, Hu Shan, Wen Hailang

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文章历史 +

摘要

提出一种考虑自然降雨对灰尘沉积的清洁效果及其对发电量影响的光伏组件清洁周期的动态分析设计方法。该方法采用关联图法和相关性分析确定影响光伏组件清洁及发电量的主要因素,以此为基础建立降雨量和灰尘沉积的定量关系和考虑灰尘沉积影响的发电量预测模型,再将其应用于动态更新或调整清洁周期。所提出方法应用于浙江省杭州市某光伏电站清洁策略的制定,结果表明清洁周期动态更新策略下的清洁总成本相较于不清洁时降低20.04%,相较于固定清洁周期方法降低3.63%。

Abstract

This article proposes a dynamic analysis and design method for the cleaning cycle of photovoltaic modules which considers the cleaning effect of natural rainfall on dust deposition and its impact on power generation. This method uses the correlation graph method and correlation analysis to determine the main factors affecting the cleanliness and power generation of photovoltaic modules. Based on this, a quantitative relationship between rainfall and dust deposition is established, and a power generation prediction model considering the impact of dust deposition is applied to dynamically update or adjust the cleaning cycle. The proposed method was applied to the formulation of a cleaning strategy for a photovoltaic power plant in Hangzhou, Zhejiang Province. The results showed that the total cleaning cost under the dynamic update strategy of the cleaning cycle was reduced by 20.04% compared to the non-cleaning method, and by 3.63% compared to the fixed cleaning cycle method.

导出引用

刘卫东, 吴锦华, 胡珊, 闻海浪. 自然降雨驱动的光伏组件清洁周期动态更新策略研究[J]. 太阳能学报. 2025, 46(1): 615-623 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1446

Liu Weidong, Wu Jinhua, Hu Shan, Wen Hailang. RESEARCH ON DYNAMIC UPDATE STRATEGY OF CLEANING CYCLE FOR PHOTOVOLTAIC MODULES DRIVEN BY EFFECT OF NATURAL RAINFALL[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 615-623 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1446

中图分类号： TB114.3

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