Decentralized Model Predictive Control for Wave Energy Converter Arrays Public Deposited

http://ir.library.oregonstate.edu/concern/articles/mw22v734g

This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE-Institute of Electrical and Electronics Engineers and can be found at:  http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391 ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Most of the research on wave energy conversion has been focused on the characterization of the dynamic behavior of arrays of uncontrolled WECs in specific configurations, in order to quantify changes in the wave fields and absorbed power without active control. To maximize wave energy conversion, however, it is necessary to apply active control techniques to the WECs that conform the array. In this paper we propose the application of decentralized model predictive control (MPC) to the elements of an array by considering each individual WEC as a subsystem. Each decentralized MPC optimizes the absorbed power of its own WEC under the same input and state constraints that a centralized MPC otherwise would.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Oetinger, D., Magaña, M. E., & Sawodny, O. (2014). Decentralized Model Predictive Control for Wave Energy Converter Arrays. IEEE Transactions on Sustainable Energy, 5(4), 1099-1107. doi:10.1109/TSTE.2014.2330824
Series
Keyword
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2015-03-13T19:03:36Z No. of bitstreams: 1 MagañaMarioElectricalEngineeringComputerScienceDecentralizedModelPredictive.pdf: 851668 bytes, checksum: 5ff311fc59afb01dc7724dfdbb69ca6b (MD5)
  • description.provenance : Approved for entry into archive by Deanne Bruner(deanne.bruner@oregonstate.edu) on 2015-03-13T19:04:31Z (GMT) No. of bitstreams: 1 MagañaMarioElectricalEngineeringComputerScienceDecentralizedModelPredictive.pdf: 851668 bytes, checksum: 5ff311fc59afb01dc7724dfdbb69ca6b (MD5)
  • description.provenance : Made available in DSpace on 2015-03-13T19:04:31Z (GMT). No. of bitstreams: 1 MagañaMarioElectricalEngineeringComputerScienceDecentralizedModelPredictive.pdf: 851668 bytes, checksum: 5ff311fc59afb01dc7724dfdbb69ca6b (MD5) Previous issue date: 2014-10

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items