Reliability Analysis on HVDC Transmission System Based on Improved Bayesian Networks GO Methodology

TIAN Lulin; LIU Peisheng

doi:10.13296/j.1001-1609.hva.2017.07.009

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Reliability Analysis on HVDC Transmission System Based on Improved Bayesian Networks GO Methodology

更新时间：2025-04-26

- Reliability Analysis on HVDC Transmission System Based on Improved Bayesian Networks GO Methodology
- High VoltageApparatus Vol. 53, Issue 7, Pages: 53-59+66(2017)
- 作者机构：
  
  1. 西安理工大学水利水电学院
  2. 国网陕西电力公司西安供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2017.07.009
  CLC： TM721.1
- Published：2017
- 稿件说明：
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[1]田录林,刘沛盛.改进贝叶斯网络GO法在高压直流输电系统的可靠性分析[J].高压电器,2017,53(07):53-59+66.

TIAN Lulin, LIU Peisheng. Reliability Analysis on HVDC Transmission System Based on Improved Bayesian Networks GO Methodology[J]. High voltageapparatus, 2017, 53(7): 53-59+66.
[1]田录林,刘沛盛.改进贝叶斯网络GO法在高压直流输电系统的可靠性分析[J].高压电器,2017,53(07):53-59+66. DOI： 10.13296/j.1001-1609.hva.2017.07.009.

TIAN Lulin, LIU Peisheng. Reliability Analysis on HVDC Transmission System Based on Improved Bayesian Networks GO Methodology[J]. High voltageapparatus, 2017, 53(7): 53-59+66. DOI： 10.13296/j.1001-1609.hva.2017.07.009.

摘要

文中针对贝叶斯网络GO法仅适用于简单不可修系统可靠性分析的不足

提出了改进贝叶斯网络GO法。改进算法依据元件之间的相关性和系统运行工况

在贝叶斯网络中构建了串、并联相关性结构等效算法

改进了模型映射流程

使之适应复杂可修高压直流输电系统可靠性分析。在建立的高压直流输电系统可靠性模型上应用该方法进行定量计算验证

结果表明:改进贝叶斯网络GO算法是可行的

它仅需多次贝叶斯网络推理就可直接计算等效单元可靠性特征量

无需考虑共有信号问题

省去了复杂的GO运算

还可利用贝叶斯网络寻找系统中可靠性薄弱环节。该方法相比传统GO法具有明显优势。

Abstract

Aimed at the deficiencies of Bayesian network GO methodology

which is only applicable to simple immutable system reliability analysis

an improved Bayesian network GO methodology is proposed in this paper. In order to make it adapt the reliability analysis of complex repairable high-voltage direct current（HVDC） system

the algorithm constructed the equivalent element method of the serial and parallel correlation structure in the Bayesian network and changed the model mapping rules based on the actual operating mode and the correlation of the components. The method is verified by quantitative calculation in the establishment of HVDC system reliability model.The results show that the improved algorithm is feasible

it only needs multiple Bayesian network inference to directly calculate the reliability of the equivalent unit

without taking into account the shared signal and complicated GO operation. Bayesian network can also be used to find the weak link of the system reliability. Compared with the traditional GO methodology

this method has obvious advantages.

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Related Author

WANG Jian-sheng2

ZHANG Yan2

YE Miao-yuan1

ZHU Ming-jun1

XU Yan1

BI Ran1

SUN Xua

Related Institution

陕西西安710077

西安高压电器研究所湖北武汉430074

Xi’an High Voltage Apparatus Research Institute

College of Electrical Engineering, Huazhong University of Science amd Technology

b.Graduate School of Chinese Academy Science

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