高压电器2017，Vol.53Issue(7)：53-59,66,8.DOI:10.13296/j.1001-1609.hva.2017.07.009
改进贝叶斯网络GO法在高压直流输电系统的可靠性分析
Reliability Analysis on HVDC Transmission System Based on Improved Bayesian Networks GO Methodology
摘要
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.关键词
GO法/贝叶斯网络/可修系统/高压直流输电/可靠性分析Key words
GO methodology/Bayesian network/repairable system/HVDC/reliability引用本文复制引用
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(7):53-59,66,8.基金项目
陕西省科学技术研究计划资助项目(010K733) （010K733）
国家自然基金资助项目(51279161,E090604).Project Supported by Study Plan of Shaanxi Province Science and Technology(010K733),National Natural Foundation(5127961,E090604). （51279161,E090604）
