• No se han encontrado resultados

A Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms

N/A
N/A
Protected

Academic year: 2020

Share "A Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms"

Copied!
12
0
0

Texto completo

Loading

Figure

Fig. 1: Layout of the WF benchmark (l 0 = 1150 m and l 1 = l 2 = 1138.44 m). →: Wind direction, 
: Wind turbine, : Wind mast.
Fig. 3: Structure of the WF benchmark. The signals which are available for FE and FDI are depicted in red.
Table 1 Partition of the parameter sets Ω v and Ω ∆
Fig. 7: Case A. Description and subsets. Turbine (i = 1, j = 1).
+3

Referencias

Documento similar

In the preparation of this report, the Venice Commission has relied on the comments of its rapporteurs; its recently adopted Report on Respect for Democracy, Human Rights and the Rule

Next, we are going to present the code generation strategy used in the implementation of the previous execution model in a well-known Windows95 environment, which opens up

For this reason, the main goal of this work is to study the case of dynamic signature verification system; in this sense we propose a system which does not store any sensible

And in those fluctuations the importance of the spatial correlation of the wind speed in that time frame is shown by the fact that the power fluctuations of the 160 MW Wind Farm

The needs of regulation in the electrical system, in order to compensate the fluctuations of large wind farms, is being considered by using the definition of ramp rates and

The above analysis leads to an experimental scenario characterized by precise mea-.. Figure 4: The allowed region of Soffer determined from the experimental data at 4GeV 2 ,

However, this is still a problem far from being solved and in this work we will address it as a classifica- tion problem working with delay vectors of the wind power time series

This contribution aims to develop an optimization methodology for the PMSG dimen- sioning to be coupled to wind turbines regarding the wind resource, the turbine rotor, and the