Adaptive Tolerant State Estimation under Model Uncertainty in Power Systems

Ruizi Ma
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Ruizi Ma: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China

Energies, 2021, vol. 14, issue 8, 1-15

Abstract: In this paper an adaptive tolerant estimator using singular value decomposition is proposed for a distribution network under model uncertainty in power systems. The adaptive tolerant estimator was designed with adjusted parameters and adjusted weights to overcome the limitations of model uncertainty. The estimator that reduces the measurement errors is adaptive to fast parameter changes in complicated environments. The singular value decomposition method was combined into the state estimator, which extended the over-determined cases to under-determined cases under model uncertainty. The performance of the tolerant estimator was compared with the conventional adaptive estimator, and the tolerant estimator showed accurate estimations against model uncertainty in complicated measurement environments.

Keywords: singular value decomposition; power systems; state estimator; adaptive; under-determined (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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