Wind Farm Decentralized Dynamic Modeling With Parameters: AEOLUS EU-report, Deliverable 2.3

Mohsen Soltani, Sayyed Mojtaba Shakeri, Jacob Deleuran Grunnet, Torben Knudsen, Thomas Bak

Research output: Book/ReportReportResearchpeer-review

684 Downloads (Pure)

Abstract

Development of dynamic wind flow models for wind farms is part of the research in European research FP7 project AEOLUS. The objective of this report is to provide decentralized dynamic wind flow models with parameters. The report presents a structure for decentralized flow models with inputs from a set of spatially distributed measurements from wind turbines. The information has to be communicated only within neighboring wind turbines. This will both reduce the calculation load by distributing them on all turbines and make the infrastructure more robust against faults and uncertainties. Moreover, the presented flow model is formulated such that it is able to update the parameters in an adaptive on-line procedure. The report also investigates the effect of wind direction changes on the flow model and proposes a fusion algorithm which improves the wind predictions by fusing the predictions of available local models. The results of this report are especially useful, but not limited, to design a decentralized wind farm controller, since in centralized controller design one can also use the model and update it in a central computing node.
Original languageEnglish
Number of pages32
ISBN (Electronic)978-87-92328-32-8
Publication statusPublished - 2010

Keywords

  • wind
  • farm
  • dynamic
  • decentralized
  • model

Fingerprint

Dive into the research topics of 'Wind Farm Decentralized Dynamic Modeling With Parameters: AEOLUS EU-report, Deliverable 2.3'. Together they form a unique fingerprint.

Cite this