Application of Kalman filter for prevention of unrequired operation of power transformer differential protection

As power transformers are core elements of electric power supply systems, transformer protection systems must reach high requirements. In order to reduce possible damage to transformers and prevent cases of false operations, resulting in interruptions of technological processes, protection devises with high sensitivity and high speed are required. This paper represents implementation of Kaman filtering theory with reduced calculation time for identification of faults in transformer from other transients. Parameters for tuning of Kalman filter for protection task and identification criteria were established. Operation of proposed algorithm was experimentally compared to Fourier transform based algorithm.