The State Estimation (SE) problem in electric power systems consists of three main functions: estimation, bad data detection and identification. D'Antona formalized the estimation procedure considering the contribution of both the measurement and the network parameters to uncertainty, in the so called extended SE. This paper presents an investigation of the effectiveness of data detection and identification in the extended SE. Some results ona simple three buses network are given as a test case of the proposed approach.

Bad data detection and identification in power system state estimation with network parameters uncertainty

D'ANTONA, GABRIELE;PERFETTO, LUCA
2015-01-01

Abstract

The State Estimation (SE) problem in electric power systems consists of three main functions: estimation, bad data detection and identification. D'Antona formalized the estimation procedure considering the contribution of both the measurement and the network parameters to uncertainty, in the so called extended SE. This paper presents an investigation of the effectiveness of data detection and identification in the extended SE. Some results ona simple three buses network are given as a test case of the proposed approach.
Knowledge-Based Engineering and Innovation (KBEI), 2015 2nd International Conference on
Measurement uncertainty, Principal component analysis, Uncertain systems, Loading, Eigenvalues and eigenfunctions, Matrix decomposition, Estimation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1022409
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