引用本文:孙文文,何国庆,刘纯,赵伟然,齐力文.物联网背景下应用于光伏发电的边缘计算设备关键技术研究及应用[J].电力自动化设备,2021,41(7):
SUN Wenwen,HE Guoqing,LIU Chun,ZHAO Weiran,QI Liwen.Research and application of key technologies for edge computing equipment used in photovoltaic power generation under background of IoT[J].Electric Power Automation Equipment,2021,41(7):
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物联网背景下应用于光伏发电的边缘计算设备关键技术研究及应用
孙文文1, 何国庆1, 刘纯1, 赵伟然2, 齐力文3
1.中国电力科学研究院有限公司,北京 100192;2.电力规划设计总院,北京 100120;3.北京国电智深控制技术有限公司,北京 102200
摘要:
随着大数据、云计算、人工智能、5G等技术的快速发展,万物互联时代加速到来,网络边缘设备的数量和数据量都呈现快速增长态势。在此趋势下,边缘计算因具有靠近数据源、实时性好、时延短、响应快等特征,成为物联网发展的核心技术之一。基于此,介绍了边缘计算的基本概念及体系架构,探讨了边缘计算设备的关键技术;深入分析了边缘计算设备在光伏发电系统的应用场景;在某光伏电站开展示范应用,实测结果表明,通过在光伏逆变器侧安装边缘计算设备,能够实现光伏发电的快速无功响应能力。研究成果可为后续边缘计算在新能源发电中的应用提供参考。
关键词:  物联网  边缘计算设备  光伏发电  快速无功响应
DOI:10.16081/j.epae.202104019
分类号:TM615
基金项目:国家电网公司科技项目(5400-201933453A-0-0-00)
Research and application of key technologies for edge computing equipment used in photovoltaic power generation under background of IoT
SUN Wenwen1, HE Guoqing1, LIU Chun1, ZHAO Weiran2, QI Liwen3
1.China Electric Power Research Institute, Beijing 100192, China;2.China Electric Power Planning & Engineering Institute, Beijing 100120, China;3.Beijing Guodian Zhishen Control Technology Co.,Ltd.,Beijing 102200, China
Abstract:
With the rapid development of technologies such as big data, cloud computing, artificial intelligence, 5G, and so on, the era of the Internet of Everything is speeding up, and the number of network edge equipment and the data volume are growing rapidly. In this trend, edge computing has become one of the core technologies for the development of the Internet of Things due to its features of close proximity to data sources, good real-time performance, short time delay, fast response, and so on. Based on this, the basic concept and system architecture of edge computing are introduced, and the key technologies of edge computing equip-ment are discussed. The application scenarios of edge computing equipment in photovoltaic power generation system are deeply analyzed. The demonstration application is carried out in a photovoltaic power station. The measured results show that the fast reactive response capability of photovoltaic power generation can be achieved by installing edge computing equipment on the side of photovoltaic inverter. The research results can provide reference for the subsequent application of edge computing in new energy power generation.
Key words:  Internet of Things  edge computing equipment  photovoltaic power generation  fast reactive power response

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