4.7 Article

Peak-power control of a grid-integrated oscillating water column wave energy converter

Journal

ENERGY
Volume 109, Issue -, Pages 378-390

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2016.04.098

Keywords

Wave energy; Oscillating water column; Latching control; Peak-to-average power ratio control; OWC spar-buoy

Funding

  1. European Community's Seventh Framework Programme under MARINET (Marine Renewables Infrastructure Network) initiative [262552]
  2. Portuguese Foundation for Science and Technology (FCT) through IDMEC, under LAETA [Pest-OE/EME/LA0022]
  3. European Union [646436]
  4. FCT [IF/01457/2014, SFRH/BPD/93209/2013]
  5. FCT through INESC-ID [UID/CEC/50021/2013]
  6. H2020 Societal Challenges Programme [646436] Funding Source: H2020 Societal Challenges Programme

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A critical characteristic of most WECs (wave energy converters) is the large peak-to-average power ratio. This poses many challenges to the design of high-efficient PTO (power take-off) systems and, even more importantly, to integrate this form of renewable energy into power grids. The OWC (oscillating water column) WECs are devices whose PTO uses an air turbine as the primary energy converter. Besides its inherent simplicity, probably the greatest advantage of OWC based WECs is the ability to control or dissipate any excess of energy available to the PTO system that may occur in medium to highly energetic sea states. The contribution of the paper is the performance assessment of a new control algorithm to operate a HSSV (high-speed stop valve) installed in series with the turbine. The goal is to perform close to-optimal latching control of the WEC and, simultaneously, operate the HSSV to limit the energy available to the turbine/generator set. The proposed control algorithm shows large improvements in the extracted mean power while limiting the peak-to-average power ratio, thus improving the power quality delivered to the electrical grid. Tests performed in a large-scale PTO test rig validated the algorithm. (C) 2016 Elsevier Ltd. All rights reserved.

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