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Transformer tap position estimation and bad data detection using dynamic signal modelling

Journal Article · · IEEE Transactions on Power Systems
DOI:https://doi.org/10.1109/59.387921· OSTI ID:82680
 [1];  [2]
  1. Univ. of Dortmund (Germany). Dept. of Electrical Engineering
  2. Lithuanian Energy Inst., Kaunas (Lithuania)
Tracking estimation of a transformer tap position is considered. Estimation algorithm incorporating additional information about dynamic behavior of the measurements and tap positions is developed. It is based on the simultaneous state and tap position estimation method augmented by measurement prefiltering based bad data detection and incorporation of a tap position dynamics model into the estimation algorithm. Increased bed data identification reliability and the robustness of the estimates to the measurement noise is obtained. The performance of the algorithm has been examined using the IEEE 30 and 118-node systems.
OSTI ID:
82680
Report Number(s):
CONF-940702--
Journal Information:
IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 2 Vol. 10; ISSN ITPSEG; ISSN 0885-8950
Country of Publication:
United States
Language:
English

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