Publication
Fault diagnosis of a wind farm using interval parity equations
Conference Article
Conference
IFAC World Congress (IFAC)
Edition
19th
Pages
4322-4327
Doc link
http://dx.doi.org/10.3182/20140824-6-ZA-1003.00792
File
Authors
-
Blesa Izquierdo, Joaquim
-
Jimenez Perez, Pedro
-
Rotondo, Damiano
-
Nejjari Akhi-Elarab, Fatiha
-
Puig Cayuela, Vicenç
Abstract
In this paper, the problem of fault diagnosis of a wind farm is addressed using interval parity equations. Fault detection is based on the use of parity equations and unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures on-line, and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm FDI/FTC competition.
Categories
observability.
Author keywords
fault diagnosis, wind farm, interval parity equations
Scientific reference
J. Blesa, P. Jimenez, D. Rotondo, F. Nejjari and V. Puig. Fault diagnosis of a wind farm using interval parity equations, 19th IFAC World Congress, 2014, Cape Town, South Africa, pp. 4322-4327.
Follow us!