基于云端大数据分析的排产策略在电力系统的应用  

Application of Scheduling Strategy Based on Cloud Big Data Analysis in Power System

作　　者：李崇旭 顾文明 LI Chongxu;GU Wenming(NR Electric Co.,Ltd.,Nanjing 211102,China)

机构地区：[1]南京南瑞继保电气有限公司,江苏南京211102

出　　处：《通信电源技术》2020年第24期206-208,共3页Telecom Power Technology

摘　　要：在实际的社会发展过程中,电力系统在各个社会领域中发挥着重要的作用,与人民群众的日常生活和工作都具有紧密联系。在大数据背景下,各种大数据技术应用到了实际的电力系统中,而且取得了不错的成效。基于云端大数据分析的排产策略可以提升电力系统的工作质量和工作效率,进而实现电力资源的高效率利用。从某种程度上来说,这也是电力系统的必然发展方向和路径。因此,研究和分析了基于云端大数据分析的排产策略在电力系统的相关应用,以提升电力系统的整体水平。In the actual process of social development,the power system plays an important role in various social fields,which is closely related to people's daily life and work.Under the background of big data,various big data technologies have been applied to the actual power system,and achieved quite good results.The scheduling strategy based on cloud big data analysis can improve the work quality and efficiency of power system,and then realize the efficient utilization of power resources.To some extent,this is the inevitable development direction and path of power system.Therefore,this paper studies and analyzes the application of scheduling strategy based on cloud big data analysis in power system,in order to improve the overall level of power system.

关 键 词：云端大数据 排产策略 电力系统 策略应用 

分 类 号：TM7[电气工程—电力系统及自动化]