4.7 Article

High-Capacity Wave Energy Conversion by Multi-Float, Multi-PTO, Control and Prediction: Generalized State-Space Modelling With Linear Optimal Control and Arbitrary Headings

期刊

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 12, 期 4, 页码 2123-2131

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2021.3082510

关键词

Mathematical model; Wave energy conversion; Energy capture; State-space methods; Optimal control; Arbitrary heading; auto-regressive prediction; high capacity; linear non-causal optimal control; multi-float WEC; multiple PTO

资金

  1. Wave Energy Control Systems Programme by Wave Energy Scotland
  2. EPSRC [EP/V040650/1, EP/P023002/1]

向作者/读者索取更多资源

Wave energy converters with capacity similar to or greater than wind turbines can be achieved by using multiple floats in a hinged raft-type configuration with multi-mode forcing. Control is essential for improving energy capture, and linear hydrodynamic models in a state-space form make it possible to implement advanced control algorithms in real time.
Wave energy converters with capacity similar to, or greater than, wind turbines are desirable for the supply of electricity to the grid. It is shown that this may be provided by multiple floats in a hinged raft-type configuration with multi-mode forcing. The case analysed has 8 floats and 4 power take off (PTO) units. Analysis is based on linear diffraction-radiation modelling, validated in wave basin experiments with a smaller number of floats. Control is desirable to improve energy capture, mainly demonstrated for point absorbers, but this has not previously been applied to such a complex problem with many degrees of freedom. The linear hydrodynamic model in a state-space form makes it possible to implement advanced control algorithms in real time. Linear non-causal optimal control (LNOC) is applied with wave force prediction from auto-regression. For the design case with zero heading, as the configuration heads naturally into the wave direction, energy capture is improved by between 21% and 83%. The energy capture is about 62% the maximum possible from idealised analyses. Off-design, non-zero headings are also analysed to indicate how energy capture can be reduced; the contribution from different modes of forcing varies with heading and energy capture is always improved by control, by several times at 90. heading.

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