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云边协同的调控云数据质量优化
引用本文:李大鹏,李立新,杨清波,刘金波,张杰,刘东. 云边协同的调控云数据质量优化[J]. 电力系统及其自动化学报, 2022, 34(3): 11-19. DOI: 10.19635/j.cnki.csu-epsa.000755
作者姓名:李大鹏  李立新  杨清波  刘金波  张杰  刘东
作者单位:电力调度自动化技术研究与系统评价北京市重点实验室(中国电力科学研究院有限公司),北京 100192,国家电网有限公司国家电力调度控制中心,北京 100031,国网天津市电力公司,天津 300010
基金项目:国家电网有限公司总部科技项目
摘    要:调控云汇集了海量的模型和运行数据,采用集中处理方式对云中心的传输网络、计算资源和存储资源带来巨大的压力,数据时效性也无法得到保障.本文基于云边协同技术,设计了调控云广域云边协同总体架构,并以电网调控数据质量优化应用为例,对网络带宽及时延、数据协同处理性能、任务分解策略优化、云中心存储性能等指标进行了对比分析.实际系统应...

关 键 词:调控云  主导节点  协同节点  边缘计算  云边协同  数据质量

Cloud-edge Collaborated Data Quality Optimization for Dispatching and Control Cloud
LI Dapeng,LI Lixin,YANG Qingbo,LIU Jinbo,ZHANG Jie,LIU Dong. Cloud-edge Collaborated Data Quality Optimization for Dispatching and Control Cloud[J]. Proceedings of the CSU-EPSA, 2022, 34(3): 11-19. DOI: 10.19635/j.cnki.csu-epsa.000755
Authors:LI Dapeng  LI Lixin  YANG Qingbo  LIU Jinbo  ZHANG Jie  LIU Dong
Affiliation:(Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology(China Electric Power Research Institute),Beijing 100192,China;National Power Dispatching and Control Center,State Grid Corporation of China,Beijing 100031,China;State Grid Tianjin Electric Power Company,Tianjin 300010,China)
Abstract:The dispatching and control cloud brings together massive models and operational data,and the way of centralized processing may bring enormous pressure to the transmission network,computing resources and storage resources of the cloud center.In addition,the timeliness of data cannot be guaranteed.In this paper,the overall framework of wide-area cloud-edge coordination of the dispatching and control cloud is designed based on the cloud-edge collaboration technology.The application of data quality optimization of grid dispatching is taken as an example,and indicators such as the network bandwidth and delay,data collaborative processing performance,optimization of the task decomposition strategy,and the storage performance of the cloud center are compared and analyzed.The application results of a real system show that the application of the cloud-edge collaboration technology solves the problems of excessive network bandwidth occupation and weak data timeliness when using the method of centralized computing,which relieves the computing and storage pressure at the center of the dispatching and control cloud.Meanwhile,the data quality at the collaborative nodes in the dispatching and control cloud is effectively improved.
Keywords:dispatching and control cloud  master node  collaborative node  edge computing  cloud-edge collaboration  data quality
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