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

Download the digital copy of the doc pdf document

Authors

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.