自适应自然环境的电网安全稳定协调防御系统的应用设计

WANG Haohao

您当前的位置：

首页 >

文章列表页 >

自适应自然环境的电网安全稳定协调防御系统的应用设计

更新时间：2025-08-13

- 自适应自然环境的电网安全稳定协调防御系统的应用设计
- Automation of Electric Power Systems Vol. 38, Issue 9, Pages: 143-151(2014)
- 作者机构：
  
  南瑞集团公司国网电力科学研究院,江苏省,南京市,211106
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
WANG Haohao. [J]. Automation of electric power systems, 2014, 38(9): 143-151.
DOI：

WANG Haohao. [J]. Automation of electric power systems, 2014, 38(9): 143-151. DOI：

摘要

结合大电网应对自然灾害的需求，将调度防御系统扩展到自然环境变化（如高温、暴雨等），提出了自适应外部自然环境变化的调度防御系统的工程方案设计、接口和应用功能设计。从信息采集、分析预警、控制决策3个层面构建应对自然灾害的安全稳定防御体系，为各种自然环境下电网的安全稳定分析与控制决策提供技术支撑，有效地提升电网应对自然灾害的能力。文中阐述了该防御系统的框架、功能、接口及硬件设计，介绍了该设计方案在江西电网的应用，并给出了运行实例。

Abstract

To satisfy the technological demand for disaster prevention and self-adapting change of natural environment of power grid dispatch，the design of the framework，interfaces and functions of the prevention system are put forward.The prevention system is developed into the subsystems of information collection，analysis and decision making.It provides analysis and control decision making results to dispatchers to improve the safety and stability of the power grid in various disaster conditions.Its application in a provincial power grid is briefly treated.

关键词

Keywords

references

Views

4038

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Power Restoration Method for Distribution Network Based on Optimal Configuration of Photovoltaic and Energy Storage in Extreme Disaster Scenarios

Pre-disaster Positioning of Mobile Emergency Resources for Urban Distribution Network Considering Potential Restoration Demand

Optimal Configuration and Operation Strategy of Mobile Energy Storage in Distribution Network Considering Spatial-Temporal Evolution of Typhoon

Coordinated Optimization Framework of Multi-timescale Restoration Strategies for Resilience Enhancement of Distribution Networks

广域继电保护故障区域的自适应识别方法

Related Author

FENG Liang

PENG Ke

XIAO Chuanliang

ZHAO Xueshen

CHEN Jiajia

TAO Wenjia

WANG Ying

CHEN Yunhan

Related Institution

College of Electrical and Electronic Engineering, Shandong University of Technology

School of Electrical Engineering, Beijing Jiaotong University

State Grid Shanghai Municipal Electric Power Company

Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education(Shanghai Jiao Tong University)

Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd.

⁰