光伏电站在线监测技术现状与进步趋势展望  

Status and outlook of online monitoring technologies for photovoltaic power stations

作　　者：郑伟烁 郑文悦 李志伟 金海薇 刘雯芳 马永超 Zheng Weishuo;Zheng Wenyue;Li Zhiwei;Jin Haiwei;Liu Wenfang;Ma Yongchao(Huadian Equipment Testing and Research Institute Co.,Ltd.,Hangzhou 311100,China;State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]浙江华电器材检测研究所有限公司,杭州311100 [2]国网浙江省电力有限公司,杭州310007 [3]清华大学电机系,北京100084

出　　处：《电测与仪表》2021年第9期1-7,共7页Electrical Measurement & Instrumentation

基　　金：国家自然科学基金资助项目(59637050);浙江省科技项目(2019FD12)。

摘　　要：随着并入电网的光伏电站规模逐年递增,其稳定性与安全性越来越受到重视。对光伏电站实施在线监测,能实时把握它的运行状态,为其运维提供必要支持,且有助于提升它的运行稳定性。文章从功率监测、环境监测和故障在线监测三个方面,对光伏电站在线监测技术研发应用现状进行了梳理,注意到其中的功率监测主要包括功率控制策略制定和短期功率预测技术;环境监测技术主要围绕温度、光照强度和电池板表面清洁度监测而开展;故障在线监测技术包括非智能与智能两种实现手段。此外,文中对光伏电站在线监测系统常用通信技术手段进行了比较,着重分析了不同通信技术的特点。最后指出,构建智能化、标准化、多机制融合的多参数监测系统,是光伏电站在线监测技术的发展趋势。With an increasing scale of the photovoltaic power station in the power grid,the stability and security of power grids have become an important concern in recent years.Online monitoring of photovoltaic power stations,which can reflect the station operation status in real time,provide the necessary support for its operation and routine maintenance,and meanwhile effectively improve its operational stability.This paper reviews the existing researches from three aspects of power monitoring,environmental monitoring and fault online monitoring.The power monitoring mainly includes the power control strategy and short-term power prediction technologies,while the environmental monitoring focuses on tracking temperature,light intensity and surface cleanliness of battery panel.Two mechanisms in online fault diagnosis technology,non-intelligent and intelligent,are discussed.Finally,common communication approaches in online monitoring system of photovoltaic power station are compared,and their characteristics are emphatically analyzed.It is predicted that the intelligent,standardized fusion with multi-mechanism and multi-parameter is becoming a major development trend for future online monitoring technologies.

关 键 词：光伏电站 太阳能发电 故障诊断 电能质量 在线监测技术 

分 类 号：TM732[电气工程—电力系统及自动化]