继电保护系统正确切除故障的概率模型

XIONG Xiaofu; OUYANG Qianfang; ZHOU Jiaqi; TIAN Juanjuan

您当前的位置：

首页 >

文章列表页 >

继电保护系统正确切除故障的概率模型

更新时间：2025-08-13

- 继电保护系统正确切除故障的概率模型
- Automation of Electric Power Systems Vol. 31, Issue 7, Pages: 12-15(2007)
- 作者机构：
  
  重庆大学电气工程学院,重庆市,400044
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
移动端阅览
XIONG Xiaofu, OUYANG Qianfang, ZHOU Jiaqi, et al. [J]. Automation of electric power systems, 2007, 31(7): 12-15.
DOI：

XIONG Xiaofu, OUYANG Qianfang, ZHOU Jiaqi, et al. [J]. Automation of electric power systems, 2007, 31(7): 12-15. DOI：

摘要

根据继电保护装置的动作逻辑，利用Markov状态空间的理论，提出了计算继电保护系统正确切除故障的概率模型。该模型计及了主保护和后备保护的作用，可以评估不同保护配置情况下的可靠性，能够真实地体现保护系统正确切除故障的概率。利用实际统计数据进行的算例分析验证了模型的合理性，计算结果对电力系统可靠性分析及风险评估具有参考价值。

Abstract

According to the operation logic of the relay protective unit and using the concept of Markov state space， this paper proposes a model for calculating the probability of correct failure removal of the relay protection system. By considering the effect of major protection and backup protection， the model can evaluate the reliability of a protection system with different configurations， truly reflecting the probability of its correct failure removal. The validity of the model is shown with an example. The results are of value for the power system’s reliability analysis and risk assessment.

关键词

Keywords

references

Views

2123

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Adaptability Analysis of Power Directional Elements in Electrochemical Energy Storage Power Stations Connected to Distribution Networks

Inertia Estimation Method for Power System with Renewable Energy Considering Spatio-temporal Correlation of Frequency Response

Active Prevention and Control Method Against Power Grid Cascading Tripping Based on Participation of Energy Storage

Problems Faced by Relay Protection in New Power System and Their Solution Ideas

Fault Analysis and Relay Protection Principle for Multi-phase Ring Brushless Excitation System of Nuclear Power

Related Author

LI Chao

LI Borui

LI Bin

LI Xindong

WU Tonghua

PEI Ming

YE Lin

LUO Yadi

Related Institution

State Key Laboratory of Smart Grid Protection and Control

School of Electrical and Information Engineering, Tianjin University

National Industry-Education Platform of Energy Storage

State Grid Electric Power Research Institute (NARI Group Corporation)

School of Information and Electrical Engineering, China Agricultural University

⁰