Data reconciliation and gross error detection applied to wind power-Reference-Cited by-同舟云学术

Data reconciliation and gross error detection applied to wind power

Published:2007-05-01 Issue:3 Volume:221 Page:497-506
ISSN:0959-6518
Container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Author:

Bennouna O¹,Heraud N¹,Rodriguez M²,Camblong H³

Affiliation:

1. Université de Corse, Corte, France

2. Mondragon Goi Eskola Politeknikoa, Mondragon, Spain

3. LIPSI-ESTIA, Technopôle Izarbel, Bidart, France

Abstract

The current paper presents a method to identify and estimate gross errors for linear dynamic systems using polynomial approximation. The method presented in a previous paper which uses linear dynamic reconciliation, is extended to allow the dynamic estimation of errors. This method is applied to the doubly fed induction generator (DFIG) of a wind turbine. The technique is validated on an experimental system used to emulate the working of the wind turbine.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09596518JSCE266

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