支撑大数据分析的发电厂变电站全息录波方法-电力系统保护与控制.PDF

第43 卷 第22 期 电力系统保护与控制 Vol.43 No.22 2015 年 11 月 16 日 Power System Protection and Control Nov. 16, 2015 支撑大数据分析的发电厂变电站全息录波方法 熊小伏，陈星田，翁世杰 (输配电装备及系统安全与新技术国家重点实验室 (重庆大学)，重庆 400044) 摘要：发电厂、变电站故障录波及基于此信息的电力二次设备动态行为分析技术是电力系统故障原因确认、保护 及自动装置动作原理与整定值正确性检验的重要依据，故障录波器已成为厂站必配的二次装备。随着智能变电站 技术的发展以及一次系统因大量新能源机组的接入、大量电力电子设备的应用而导致了故障特性的改变，现有的 故障录波器已不能满足电力系统暂态记录与智能分析的要求，亟待发展新的故障录波与分析技术。在此背景下， 回顾了现有故障录波器的主要技术特征，提出了面向未来发电厂、变电站的具有全景全时记录功能的全息录波新 架构，可支撑基于大数据的故障分析需求。指出了全息录波的关键技术与解决思路。 关键词：发电厂；变电站；全息；录波；故障 A holographic record method supporting big data analysis for power plant and substation XIONG Xiaofu, CHEN Xingtian, WENG Shijie (State Key Laboratory of Power Transmission Equipment System Security and New Technology, Chongqing University, Chongqing 400044, China) Abstract: Power plant and substation fault recording and dynamic behavior analysis technology for secondary equipment which is based on the recording information, are the important basis to identify the fault cause and to check the validity of acting principle and set value of protection and automation equipment. Fault recorder has become the essential secondary equipment in plant and substation. As the development of intelligent substation technology and the change of primary system fault characteristic caused by renewable energy generating units accessing into grid and the wide application of power electronics equipment, existing fault recorder cannot meet the requirements of power system transient record and intelligent analysis, thus a novel fault