+高级检索
智能电网调度控制系统现状与技术展望
作者
作者单位

(1. 国家电网公司国家电力调度控制中心, 北京市 100031; 2. 国网四川省电力公司, 四川省成都市 610041;3. 中国电力科学研究院, 北京市 100192; 4. 南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106;5. 南瑞集团公司(国网电力科学研究院)(北京), 北京市 100192)

摘要

首先回顾了中国电网调度自动化系统的发展历程,然后阐述了智能电网调度控制系统的总体结构,接着总结了智能电网调度控制系统取得的主要技术创新与应用成效,包括特大电网的可观测性大幅提高、特大电网的可控制性得以加强、多调度中心协同运行和在线安全预警的能力大大提升、电网运行的经济性和新能源消纳的能力持续提高、电网调度抵御重大自然灾害和集团式网络攻击的能力显著增强等。最后,展望了智能电网调度控制系统需要进一步研究的关键技术。

关键词

基金项目

通信作者

作者简介

Technology Development Trends of Smart Grid Dispatching and Control Systems
Author
Affiliation:

(1. National Electric Power Dispatching and Control Center, State Grid Corporation of China, Beijing 100031, China; 2. State Grid Sichuan Electric Power Company, Chengdu 610041, China; 3. China Electric Power Research Institute, Beijing 100192, China; 4. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China; 5. NARI Group Corporation (State Grid Electric Power Research Institute) (Beijing), Beijing 100192, China)

Abstract:

Firstly, the development history of power grid dispatching automation systems in China is reviewed. The architecture of smart grid dispatching and control systems is described. Then the main technical breakthroughs of smart grid dispatching and control systems are summarized, including improvement of the observability and controllability of ultra large power grids, the coordinated ability of control centers, the early warning ability of on-line dynamic security of ultra large power grids, the economic operation efficiency of ultra large power grids, the ability for power grids to accommodate new energy generation, and the ability of the control centers of power grids to withstand major natural calamities and group cyber-attacks. Finally, further research areas of smart grid dispatching and control systems are outlined.

Keywords:

Foundation:

引用本文
[1]辛耀中,石俊杰,周京阳,等.智能电网调度控制系统现状与技术展望[J].电力系统自动化,2015,39(1):2-8. DOI:10.7500/AEPS20141008024.
XIN Yaozhong, SHI Junjie, ZHOU Jingyang, et al. Technology Development Trends of Smart Grid Dispatching and Control Systems[J]. Automation of Electric Power Systems, 2015, 39(1):2-8. DOI:10.7500/AEPS20141008024.
复制
支撑数据及附录
历史
  • 收稿日期:2014-11-27
  • 最后修改日期:2014-11-27
  • 录用日期:2014-12-01
  • 在线发布日期: 2014-12-08
  • 出版日期: