光伏太阳能电池组件的智能清洁策略

IF 0.6 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Xiaojing Jiang
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引用次数: 0

摘要

随着一次性能源的减少和社会对电力资源需求的增加,光伏发电技术得到了迅速发展。光伏组件长时间暴露在户外,积灰严重,影响光伏发电效率,需要对光伏组件进行清洗。由于影响光伏组件发电效率的各种因素难以量化,且多依赖运维人员的经验判断,本文利用光伏电站历史运行数据,综合考虑各种影响因素,建立智能清洗数据模型,并结合清洗成本分析,为光伏组件清洗机器人的智能控制提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Cleaning Strategy of Photovoltaic Solar Cell Modules
With the decrease of disposable energy and the increase of social demand for power resources, photovoltaic power generation technology has been rapidly developed. The photovoltaic modules exposed outdoors for a long time accumulate serious ash, and the photovoltaic power generation efficiency is affected, so the photovoltaic modules need to be cleaned. Since various factors affecting the power generation efficiency of photovoltaic modules are difficult to quantify and mostly rely on the experience judgment of operation and maintenance personnel, this paper uses the historical operation data of photovoltaic power stations, comprehensively considers various influencing factors, establishes an intelligent cleaning data model, and combines the cleaning cost analysis to provide a basis for intelligent control of photovoltaic module cleaning robots.
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来源期刊
Journal of Nanoelectronics and Optoelectronics
Journal of Nanoelectronics and Optoelectronics 工程技术-工程:电子与电气
自引率
16.70%
发文量
48
审稿时长
12.5 months
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