Selection of optimal fault location algorithm

Once fault event in power system occurs different intelligent electronic devices (IEDs) automatically recognize the fault as abnormality. With technological development many IEDs available today are capable of recording, executing analysis automatically and communicating results to different locations. Although recording capabilities are drastically increased applications that would fully utilize recorded data are still not available. In this paper, automated fault location (FL) procedure and usage of different intelligent algorithms is presented. Data is retrieved from various data sources, processed using expert system, neural networks, and genetic algorithm in order to provide data for optimal FL algorithm selection.