Semimonthly

ISSN 1000-1026

CN 32-1180/TP

+Advanced Search 中文版
Design and Key Technology of Technical Architecture for Infrastructure as a Service (IaaS) Layer in Dispatching and Control Cloud Platform
Author:
Affiliation:

1.North China Branch of State Grid Corporation of China, Beijing 100053, China;2.Dispatching and Control Center of State Grid Corporation of China, Beijing 100031, China;3.Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100192, China;4.H3C Technologies Co., Ltd., Beijing 100191, China

Abstract:

Dispatching and control cloud (DCC) is an important part of the “three clouds” planning of State Grid Corporation of China. Aiming at the characteristics of hierarchical deployment design, which combines unification and distribution of dispatching and control cloud, basic architecture of infrastructure as a service (IaaS) layer for dispatching and control cloud is designed, which is combined with the bi-level deployment system framework of leading nodes for national dispatching and control center-regional power grid dispatching and control center and provincial collaborative nodes, based on the concept of cloud computing, and oriented to power grid regulation business. The virtualization (sharing and dynamic deployment) of hardware resources, standardization of data and service-oriented application of dispatching and control cloud platform are realized. On the other hand, the technologies such as resource virtualization of servers and storages, domain name system, load balance, read-write separation etc. are introduced into IaaS layer architecture, which provides basic support for dispatching and control cloud nodes to adopt dual-site mode, and it realizes that each node of the cloud can provide external services and remote active-active application at the business level at the same time.

Keywords:

Foundation:

Get Citation
[1]ZHANG Yong, GUO Jun, LIU Jinbo, et al. Design and Key Technology of Technical Architecture for Infrastructure as a Service (IaaS) Layer in Dispatching and Control Cloud Platform[J]. Automation of Electric Power Systems,2021,45(2):114-121. DOI:10.7500/AEPS20200322004
Copy
Share
History
  • Received:March 22,2020
  • Revised:July 15,2020
  • Adopted:
  • Online: January 21,2021
  • Published: