Fault Location Estimation Based on Matching the Simulated and Recorded Waveforms Using Genetic Algorithms

Prompt and accurate location of the faults in a largescale transmission system is critical when system reliability is considered and usually is the first step in the system restoration. The accuracy of fault location estimation essentially depends on the information available. While there have been some successful algorithms for fault location utilizing two-end or threeend data, the satisfactory solutions are harder to formulate if only the local information or only the data at limited substation locations are available [Girgis et al (1), Waikar et al (2)].