%0 Journal Article %T On Line Electric Power Systems State Estimation Using Kalman Filtering (RESEARCH NOTE) %J International Journal of Engineering %I Materials and Energy Research Center %Z 1025-2495 %A Mahdavi Tabatabayee, N. %A Kenarangui, R. %D 1995 %\ 11/01/1995 %V 8 %N 4 %P 233-235 %! On Line Electric Power Systems State Estimation Using Kalman Filtering (RESEARCH NOTE) %K state estimation %K Kalman Filter %K power systems %R %X 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. %U https://www.ije.ir/article_71137_6647a39a135e64eb9ed29032fd1c28ec.pdf