摘要
随着光伏电站的规模逐渐扩大,传统运维手段面临数据获取困难、故障诊断滞后等困境,不利于光伏电站高效运转。基于此,文章对人工智能技术在光伏电站运维中的应用展开研究,阐述了无人机智能巡检、功率精准预测、组件自动清洗等技术,分析了人工智能技术在光伏电站运维中的具体应用,探索了人工智能技术创新发展策略,以期提高光伏电站故障预测精准度和运维决策科学性,降低运维成本,加快光伏电站运维智能化步伐。
With the gradual expansion of the scale of photovoltaic power stations,traditional operation and maintenance methods are faced with dilemmas of difficult data acquisition,lagging fault diagnosis,etc.,which is not conducive to the efficient operation of photovoltaic power stations.Based on this,this paper studies the application of Artificial Intelligence technology in the operation and maintenance of photovoltaic power stations,expounds the technologies such as UAV intelligent inspection,accurate power prediction and automatic cleaning of components,analyzes the specific application of Artificial Intelligence technology in the operation and maintenance of photovol-taic power stations,and explores the innovative develop-ment strategies for Artificial Intelligence technology,in order to improve the accuracy of fault prediction and the scientificity of operation and maintenance decision-mak-ing of photovoltaic power stations,reduce the operation and maintenance costs,and accelerate the intelligent pace of operation and maintenance of photovoltaic power sta-tions.
作者
邓景鹏
DENG Jingpeng(Dongguan Guanneng Green Energy Service Co.,Ltd.,Dongguan 523000,Guangdong,China)
出处
《光源与照明》
2025年第6期168-170,共3页
Lamps & Lighting
关键词
人工智能技术
光伏电站运维
智能决策
故障预测
绿色能源
Artificial Intelligence technology
photovoltaic power station operation and maintenance
intelligent deci-sion-making
fault prediction
green energy
作者简介
邓景鹏,男,本科,工程师,研究方向为电力工程。
