通道型电磁环网解环量化评估方法分析

PAN Yan

您当前的位置：

首页 >

文章列表页 >

通道型电磁环网解环量化评估方法分析

更新时间：2025-08-13

- 通道型电磁环网解环量化评估方法分析
- Automation of Electric Power Systems Vol. 41, Issue 20, Pages: 157-162(2017)
- 作者机构：
  
  南瑞集团公司(国网电力科学研究院)(), 北京市,北京,102200
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
PAN Yan. [J]. Automation of electric power systems, 2017, 41(20): 157-162.
DOI：

PAN Yan. [J]. Automation of electric power systems, 2017, 41(20): 157-162. DOI：

摘要

在大型的通道型电磁环网中线路传输的功率一般较大，高电压等级线路跳闸将引起大规模潮流向低电压等级线路转移，系统存在引发连锁故障的风险。文中分析总结出通道型电磁环网的主要特点，从网架结构、送受端系统规模等因素出发，构建了以静态稳定裕度、热稳裕度、潮流转移比、安控措施量为核心的通道型电磁环网解环判据指标体系。在此基础上，采用变异系数法计算各指标权重，得出一种判断电磁环网是否解环的综合指标。通过对青海电网通道型电磁环网解环必要性的分析，验证了所提通道型电磁环网解环判据的合理性和有效性。

Abstract

In a large channel-type electromagnetic loop network

the power flow of transmission lines is in general high. Should tripping of high voltage transmission line occur

the result will be a metastasis of power flow to the lower. Hence the risk of chain faults. The main characteristics of the channel-type electromagnetic loop network are summarized. Proceeding from the grid structure

system size and other factors

an open-loop criterion system for channel-type electromagnetic loop network is built

which is based on static stability margin

thermal stability margin

power flow transfer ratio and security and stability control amount. On this basis

the variation coefficient method is used to calculate the index weight in order to get a composite indicator of channel-type electromagnetic loop network judgment. This method is verified using the channel-type electromagnetic loop network in Qinghai grid to show that open-loop criterion for electromagnetic loop network is reasonable and effective.

关键词

Keywords

references

Views

2384

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Planning and Optimization of Offshore Multi-terminal DC System Considering Enhancement of Power System Static Stability

超高压电磁环网的特点与案例分析

一种距离保护Ⅲ段防过负荷误动的方法

基于模糊聚类和最短路径的关键输电断面确定新方法

弱电磁环网运行控制若干问题及对策

Related Author

Yang LIU

Shurong WEI

Feixiang YING

Yang FU

Qiguo WANG

Lingling HUANG

LI Gang

LI Hui

Related Institution

School of Electrical Engineering, Shanghai University of Electric Power

State Grid Hubei Electric Power Company

NARI Technology Co. Ltd.

School of Electronics and Information Engineering, Tongji University

China Electric Power Research Institute

⁰