On Line Electric Power Systems State Estimation Using Kalman Filtering (RESEARCH NOTE)
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Abstract:
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.
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Journal title
volume 8 issue 4
pages 233- 235
publication date 1995-11-01
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