Fast Current Based Fault Detection Algorithm Using Moving Average Technique in Transmission Line

Abstract

In a Power System, when any fault takes place within transmission lines, firstly, it gets detected, after detection of which fault has occurred has been identified we can call classification, and then, the distance of fault occurrence is predicted and located. This has to be done by using a distance relay protection scheme. Therefore, fast fault detection helps us to save the time which is required for the procedure of protection of the particular scheme. Here, a different approach for transmission line fault detection is described which is depends on the summation (addition) of the square of three-phase instantaneous currents (SSC) and a moving average (MA) method. The value of the SSC signal remains the same during a normal operating condition of the network or in this case, it's our transmission line to be tested, on the other side it is in the considerable and continuous violations when any fault occurred in the system. Hence, using a MA concept, a fault detection baseline idea is introduced; using which fault present in the system can be detected. This fault detection method is tested in different test scenarios, so herewith is a typical 3 bus transmission line system. The outputs we get will show much higher accuracy and also high speed. Going ahead, its performance is compared with some of the other methods of fault detection from different aspects and approaches.