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%。
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.
作者
刘卫东
吴锦华
胡珊
闻海浪
Liu Weidong;Wu Jinhua;Hu Shan;Wen Hailang(Advanced Manufacturing School,Nanchang University,Nanchang 330036,China)
出处
《太阳能学报》
北大核心
2025年第1期615-623,共9页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(72361021,72071099)。
关键词
光伏组件
灰尘
降雨
发电量预测
清洁策略
PV modules
dust
rainfall
power generation forecast
cleaning strategy
作者简介
通信作者:刘卫东(1962-),男,博士、教授、博士生导师,主要从事机电系统的可靠性工程与质量管理方面的研究。liuwd@ncu.edu.cn。
