Gross Error Detection of the Generator of a Wind Turbine

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.