Wind-plant-controller design

Book chapter (2019)

Authors

B.M. Doekemeijer Team Jan-Willem van Wingerden - Mechanical, Maritime and Materials Engineering
S. Boersma Team Jan-Willem van Wingerden - Mechanical, Maritime and Materials Engineering
Jennifer King National Renewable Energy Laboratory
Paul Fleming National Renewable Energy Laboratory
J.W. van Wingerden Team Jan-Willem van Wingerden - Mechanical, Maritime and Materials Engineering
Research Group
Team Jan-Willem van Wingerden (Mechanical, Maritime and Materials Engineering) (TU Delft)
Wind power Power grids Economic factor Economic forecasting Electric system operators Forecast performance assessment Grid operations Nondispatchable variability Power generation economics Power generation reliability Skillful forecasting models Ultra-high system reliability Wind power plants Wind power production forecasting
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Jan-Willem van Wingerden

Abstract

The non-dispatchable variability of wind power production presents a substantial challenge to electric system operators who are assigned the task of balancing the demand and generation at each moment at the lowest possible cost while maintaining ultra-high system reliability. The economic factor is the key component of this problem since one can always adequately manage variability and maintain reliability if cost is not considered. There are four key components to a forecasting solution that should each be optimized in order to provide maximum value to the end user: (1) high-quality and representative measurement data for input into the forecasting procedure, (2) skillful forecasting models, (3) effective communication of the critical forecast information to automated or manual decision-makers and (4) meaningful assessment of forecast performance to provide users with confidence in using the forecast information for decision-making.