Regime-based supervisory control to reduce power fluctuations from offshore wind power plants

Braulio Barahona Garzón, Nicolaos Antonio Cutululis, Pierre-Julien Trombe, Pierre Pinson

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Wind power fluctuations, especially offshore, can pose challenges in the secure and stable operation of the power system. In modern large offshore wind farms, there are supervisory controls designed to reduce the power fluctuations. Their operation is limited due to the fact that they imply loss of production, hence revenue for the wind farm operator. On the other hand, progresses in short term forecasting, together with the increasing use of probabilistic forecasting can help in achieving efficient power fluctuations reduction with minimum lost production. Here we present supervisory control concepts that consider different wind power regimes to derive control setpoints by using a Markov-Switching AutoRegressive model. We evaluate the performance versus measured data in terms of power ramp characteristics and energy efficiency.
Original languageEnglish
Title of host publication2013 IEEE Grenoble PowerTech (POWERTECH)
Number of pages6
PublisherIEEE
Publication date2013
ISBN (Print)9781467356695
DOIs
Publication statusPublished - 2013
EventIEEE PowerTech Conference - Grenoble, France
Duration: 16 Jun 201320 Jun 2013

Conference

ConferenceIEEE PowerTech Conference
CountryFrance
CityGrenoble
Period16/06/201320/06/2013

Keywords

  • Power, Energy and Industry Applications

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