Gross error detection of the generator of a wind turbine

被引：0

作者：

Bennouna, Ouadie ^{[1
]}

Heraud, Nicolas ^{[1
]}

Cristofari, Christian ^{[1
]}

Muselli, Marc ^{[1
]}

Notton, Giles ^{[1
]}

Poggi, Philippe ^{[1
]}

机构：

[1] Univ Corsica, CNRS 6134, UMR, SPE Lab,Renewable Energy Team, Quartier Grossetti BP 52, F-20250 Corte, France

来源：

2006 FIRST INTERNATIONAL SYMPOSIUM ON ENVIRONMENT IDENTITIES AND MEDITERRANEAN AREA, VOLS 1 AND 2 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Data reconciliation and gross error detection are techniques used for improving the accuracy of data so that they satisfy the plant model. This paper present a method to identify and estimate gross errors for linear dynamic systems. An appliation is made in the domain of renewable energies, in particular the Doubly Fed Induction Generator (D.F.I.G) of a wind turbine. A dynamic integral measurement test is used to identify measurements as suspects of gross error. The method presented in a previous paper [1] is extended to allow gross error estimation.

引用

页码：243 / +

页数：2

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