A Simple Approach to Construct the Bayesian Network Associated with Electric Transmission Systems

作者：Ebrahimi A^*; Daemi T

来源：International Review of Electrical Engineering, 2010, 5(1): 180-184.

• Bayesian Network
• Importance Sampling
• Reliability
• Transmission System

In this paper a simple approach to construct the Bayesian Network (BN) associated with an electric transmission system is presented The proposed approach for constructing the BN, that is applicable in large systems, is based on the capability of the BN to learn from data. The required training data is provided by the state sampling method of Monte Carlo (MC) simulation where Importance Sampling (IS) scheme is employed for a more accurate impact analysis of transmission system components that have relatively low failure probabilities.
In this study, assuming independent outage events, a general structure is considered for BN which is then modified by using the Mutual Information (MI) of variables. Therefore the BN associated with the system is constructed easily and it is not required to use the common structure learning algorithms or use from the physical topology or cause-effect relations that for complex and large systems are intractable. The derived BN is used for a detailed reliability assessment of the transmission system based on the loss of load and component outage probabilities. The proposed method is applied to IEEE Reliability Test System (IEEE-RTS) that its results show the validity and efficiency of the approach.

• 出版日期2010-2