基于Apache Spark技术的逆变器出力分析系统  

Inverter Output Analysis Based on Apache Spark Technology

作　　者：韩贻明 何伟 叶凯 王小虎 胡玉泉 HAN Yiming;HE Wei;YE Kai;WANG Xiaohu;HU Yuquan

机构地区：[1]国家能源集团新疆吉林台水电开发有限公司,新疆伊犁835700

出　　处：《电力系统装备》2025年第2期30-31,34,共3页Electric Power System Equipment

摘　　要：在山地光伏项目中,复杂地形致使组串关键角度多变,影响发电效率。同时光伏电站产生海量数据,传统手段处理乏力。为解决此问题,文章采用ApacheSpark技术构建逆变器出力分析系统,着重利用ApacheSpark在大数据处理方面的卓越能力以实现快速计算,进而准确计算山地光伏的最优发电量,为电站运维提供有力指导。该系统基于Apache Spark的内存计算机制、多语言支持及丰富技术栈,通过一系列计算步骤,可助力山地光伏电站在大数据环境下提升运营效率和发电效益。In the mountain photovoltaic project,the complex terrain causes the key Angle of the cluster to change,affecting the power generation efficiency.At the same time,photovoltaic power stations generate massive data,which is not processed by traditional means.In order to solve this problem,this paper uses Apache Spark technology to build an inverter output analysis system,focusing on the use of Apache Spark's excellent ability in big data processing to achieve rapid calculation,and then accurately calculate the optimal power generation of mountain PV,providing strong guidance for power plant operation and maintenance.The system is based on Apache Spark's memory computing mechanism,multi-language support and rich technology stack.Through a series of calculation steps,it can help mountain photovoltaic power plants improve operation efficiency and power generation efficiency in a big data environment.

关 键 词：山地光伏 ApacheSpark 大数据计算 逆变器出力 电站运维 

分 类 号：TM615[电气工程—电力系统及自动化]