摘要
针对配电系统实际运行中元件故障概率无法以精确值描述的问题,提出了一种将超椭球模型约束的元件故障区间概率与贝叶斯网络相结合的配电系统可靠性评估方法。该方法应用证据理论获取元件的信度函数和似真函数以得到初始故障区间概率;应用超椭球模型约束元件初始故障区间概率以得到贝叶斯网络分析中根节点区间概率;应用贝叶斯网络正向推理叶节点区间概率以得到配电系统的可靠性评估指标;应用贝叶斯网络反向推理负荷点故障条件下的根节点后验区间概率以得到系统薄弱环节。通过对IEEE-RBTS Bus 6母线系统进行算例分析,证明了该方法适用于实际配电系统的可靠性评估。
Aiming at the problem that the failure probability of components in actual operation of the distribution sys- tem can not be described by exact value, a reliability assessment method for distribution system based on hyper-ellip- soidal Bayesian network is proposed in this paper. Evidence theory is applied to obtain belief function and plausibility function of components in order to get the initial fault interval probability. Hyper-ellipsoidal model is applied to restrict the initial fault interval probability in order to get the root nodes interval probability of Bayesian network. The forward reasoning Bayesian network is applied to get the interval probability of leaf nodes in order to get the reliability indices of distribution system. The backward reasoning of Bayesian network is applied to get the posterior interval probability of root nodes in order to find the weakest part of the system. By analyzing the IEEE-RBTS 6 bus system, the method is proved to be applicable to the reliability assessment of the actual distribution system.
出处
《电测与仪表》
北大核心
2017年第1期22-26,共5页
Electrical Measurement & Instrumentation
关键词
配电系统
可靠性
贝叶斯网络
超椭球模型
区间概率
证据理论
distribution system, reliability, Bayesian network, hyper-ellipsoidal model, interval probability, evidencetheory
