Robust state estimation based on orthogonal methods and maximum correntropy criterion
Robust state estimation based on orthogonal methods and maximum correntropy criterion
dc.contributor.author | Victor Silva Freitas | en |
dc.contributor.author | Costa,AS | en |
dc.contributor.author | Vladimiro Miranda | en |
dc.date.accessioned | 2018-01-26T10:12:03Z | |
dc.date.available | 2018-01-26T10:12:03Z | |
dc.date.issued | 2017 | en |
dc.description.abstract | This paper presents an orthogonal implementation for power system state estimators based on the Maximum Correntropy Criterion (MCC). The proposed approach leads to a numerically robust estimator which exhibits self-healing properties, in the sense that gross errors in analog measurements are automatically rejected. As a consequence, robust estimates are produced without the need of running the state estimator again after bad data identification and removal. Numerical robustness is achieved by means of a specialized orthogonal algorithm based on fast Givens Rotations, which is able to handle the dynamic measurement weighting mechanism implied by the Parzen window concept associated to MCC. Results for a 3-bus test system are presented to properly illustrate the Correntropy principles, and several case studies conducted on the IEEE 30-bus and 57-bus benchmark systems are used to validate the proposed methodology. © 2017 IEEE. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/7406 | |
dc.identifier.uri | http://dx.doi.org/10.1109/ptc.2017.7981075 | en |
dc.language | eng | en |
dc.relation | 208 | en |
dc.relation | 7194 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | Robust state estimation based on orthogonal methods and maximum correntropy criterion | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |
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