Estimation of Wind Turbine Generator Model Parameters using Artificial Intelligence Methods

Online, Artificial Intelligence-Based Turbine Generator Diagnostics

The development of an online turbine generator diagnostic system is described from conception to initial field verification. The system is composed of a data center located in the power plant that collects data from online measurement devices and communicates these data to a centralized diagnostic facility in Orlando, Florida, where the actual diagnosis is done. The resulting diagnosis and reco...

Estimation of Wind Power Prediction Intervals Using Stochastic Methods and Artificial Intelligence Model Ensembles

This paper describes different methods to estimate the uncertainty of wind power forecasts in terms of prediction intervals. The single methods and an ensemble average model have been applied to shortest-term wind power forecasts (forecast horizon = 1, 2, 4 & 8 h) of 62 spatially distributed wind farms in Germany to obtain intervals with a nominal reliability of 90, 95 and 98 %. Furthermore the...

Wind Turbine Generator Technologies

Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods

Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production...

FINAL PROJECT REPORT WECC WIND GENERATOR DEVELOPMENT Appendix V MODEL VALIDATION OF WIND TURBINE GENERATOR

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