Studies on Fault Section Estimation in Power System by Discrimination Analysis

Abstract

Once a fault occurs in the power system, the fault section must be estimated from inadequate information on protective relays and circuit breakers. There have been several studies to develop an automatic estimation method: knowledge engineering, neural network, etc. However, it was very difficult to make a method which is powerful enough and easy to maintain.
In this paper, the discrimination analysis theory is applied to the fault section estimation. Using the theory, it is expected that the inference speed can be improved. It is also expected that the knowledge about the fault section estimation can be collected.
First, using the small model system, fault section estimation method with the discrimination analysis theory is described and compared to the method with neural network. Next, it is illustrated that the method can be applied to the large system.