TY - JOUR ID - 71137 TI - On Line Electric Power Systems State Estimation Using Kalman Filtering (RESEARCH NOTE) JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Mahdavi Tabatabayee, N. AU - Kenarangui, R. AD - Electerical Engineering, University of Tabriz Y1 - 1995 PY - 1995 VL - 8 IS - 4 SP - 233 EP - 235 KW - state estimation KW - Kalman Filter KW - power systems DO - N2 - In this paper principles of extended Kalman filtering theory is developed and applied to simulated on-line electric power systems state estimation in order to trace the operating condition changes through the redundant and noisy measurements. Test results on IEEE 14 - bus test system are included. Three case systems are tried; through the comparing of their results, it is concluded that the proposed dynamic estimator have great advantage over the static state estimation in its accuracy and real time implementation. UR - https://www.ije.ir/article_71137.html L1 - https://www.ije.ir/article_71137_6647a39a135e64eb9ed29032fd1c28ec.pdf ER -