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Decentralized Model Predictive Control for Wave Energy Converter Arrays

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  • 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.
  • 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.
  • Keywords: Point absorber, Model predictive control (MPC), Wave energy converter (WEC) arrays
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  • 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
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  • 5
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  • 4
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