摘要
光伏组件的运维工作直接影响光伏发电站的发电量,传统的人工巡检方式效率低、难度大。为了研究无人机在光伏电站巡检工作的应用效果,分析光伏组件常见故障,阐述无人机巡检系统的组成及组件故障识别技术。将无人机应用在太阳山光伏电站的组件巡检工作中,结合项目情况完成巡检流程,以验证无人机巡检的可行性与合理性。由巡检结果可知,无人机巡检系统可以准确识别组件的故障情况,使用无人机可极大提升生产运维的智能化水平和风险防范能力,提高光伏电站巡检的效率和质量,保障光伏电站的安全运行。
The operation and maintenance of photovoltaic modules directly affects the power generation of photovoltaic power stations.The traditional manual inspection method is inefficient and difficult.In order to study the application effect of UAV in the inspection work of photovoltaic power plants,this article first analyzes the common faults of photovoltaic modules,and then elaborates the composition of the UAV inspection system and component fault identification technology.Finally,the unmanned aerial vehicle is used in the inspection work of the solar mountain photovoltaic power station components,and the inspection process is completed according to the project situation to verify the feasibility and rationality of the unmanned aerial vehicle inspection.It can be seen from the inspection results that the UAV inspection system can accurately identify component failures,and the use of UAVs can greatly improve the intelligence level and risk prevention capabilities of production,operation and maintenance,and improve the efficiency and quality of the inspection of photovoltaic power plants.Ensure the safe operation of photovoltaic power plants.
作者
张玮
ZHANG Wei(Northwest Electric Power Design Institute Co.,Ltd.of China Power Engineering Consulting Group.Xi'an 710015,China)
出处
《电力勘测设计》
2023年第11期43-46,60,共5页
Electric Power Survey & Design
关键词
无人机
故障识别
光伏组件
智能巡检
UAV
fault identification
photovoltaic module
intelligent inspection
