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  4. Estimation of available active power in wind farms for operating reserve provision
 
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2013
Presentation
Title

Estimation of available active power in wind farms for operating reserve provision

Title Supplement
Presentation held at the Conference and Exhibition "Brazil Windpower 2013", 3-5 Septermber 2013, Rio de Janeiro, Brazil
Abstract
There are several reasons why wind farms should provide operating reserve, even though this is generally associated with a limitation of the wind energy yield in the wind plant. Among others, the provision of operating reserve by wind can: avoid turning off renewable generation in favor of conventional provision of ancillary services; be a cheaper alternative to attend the demand for operating reserve as opposed to extra storage or conventional plants running at poor efficiency; enhance competition in the balancing power market; and increase economic feasibility to renewable energy investment by generation of extra revenue.The available active power (AAP) of a wind farm is defined as the power a wind farm could produce if it had not been curtailed. The exact estimation of the AAP is crucial for the provision of operating reserve by wind farms as a method to prove the offer and delivery of operating reserve.Until now only few techniques for the estimation of the AAP are available. In this paper five different techniques are investigated and compared: Last Measured Value, Adjusted Power Curve, Site-Specific Power Curve, Reference Turbine and Physical Model. For the tests, ten-minute-averaged data from a wind farm in Brandenburg (Eastern Germany) measured over 21 months were used. Four criteria of comparison are defined: accuracy under normal operation, accuracy under curtailment, consideration of changes in the wind farm's composition and costs. The method Physical Model showed a normalized Root Mean Square Error (nRMSE) smaller than 1.7% for all curtailment cases and durations.This innovative research features the comparison and analysis of the different AAP estimation techniques using historical data from a real wind farm, and is the first work to introduce the Reference Turbine method implemented with Artificial Neural Networks.
Author(s)
Kaminski Küster, Kristie
Schneider, Dominik
Siefert, Malte  
Speckmann, Markus
Conference
Brazil Windpower Conference and Exhibition 2013  
File(s)
Download (739.88 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-383813
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
Keyword(s)
  • wind integration

  • operating reserve

  • wind farms

  • available active power

  • nacelle wind speed correction

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