调控云运行数据平台分布式缓存关键技术及应用  

Key Techniques and Applications of Distributed Cache for Operation Data Platform of Dispatching and Control Cloud

作　　者：蔡宇 靳晶 刘金波[1] 陈鹏 季学纯 吴庆曦[2,3] CAI Yu;JIN Jing;LIU Jinbo;CHEN Peng;JI Xuechun;WU Qingxi(National Electric Power Dispatching and Control Center,State Grid Corporation of China,Beijing 100031,China;NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,China;NARI Technology Co.,Ltd.,Nanjing 211106,China;State Key Laboratory of Smart Grid Protection and Control,Nanjing 211106,China)

机构地区：[1]国家电网有限公司国家电力调度控制中心,北京市100031 [2]南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市211106 [3]国电南瑞科技股份有限公司,江苏省南京市211106 [4]智能电网保护和运行控制国家重点实验室,江苏省南京市211106

出　　处：《电力系统自动化》2021年第12期151-157,共7页Automation of Electric Power Systems

基　　金：国家电网公司科技项目(5700-201955450A-0-0-00)。

摘　　要：随着调控云运行数据平台历史数据存储规模持续增长,对历史数据访问的高性能、高可靠性、易扩展需求日益增加。结合业务需求,在分析缓存应用技术的基础上,提出了基于Redis的运行数据平台分布式缓存框架,研究了运行数据缓存的高效存储模型、高速访问、高可用管理等关键技术。实验结果表明,在读写性能、可靠性、可扩展性等多个方面,可满足各类业务应用对运行数据平台历史数据管理与访问的要求。As the continuous growth of historical data storage scale on the operation data platform of the dispatching and control cloud, the demand for high performance, high reliability and easy expansion of historical data access is increasing. Combined with the business requirements and based on the analysis of cache application technologies, a Redis based distributed cache framework of operation data platforms is proposed, and the key technologies in the operation data cache such as efficient storage models, highspeed access and high availability management are studied. The experimental results show that it can meet the requirements of various business applications for historical data management and access of operation data platforms in terms of read-write performance, reliability and scalability.

关 键 词：运行数据平台 分布式缓存 存储模型 分区定位 动态扩展 故障恢复 

分 类 号：TM73[电气工程—电力系统及自动化] TP311.13[自动化与计算机技术—计算机软件与理论]