TY - JOUR
T1 - High-capacity wave energy conversion by multi-float, multi-PTO, control and prediction
T2 - Generalized state-space modelling with linear optimal control and arbitrary headings
AU - Liao, Zhijing
AU - Stansby, Peter
AU - Li, Guang
AU - Moreno, Efrain Carpintero
N1 - Funding Information:
Manuscript received October 23, 2020; revised February 1, 2021 and April 19, 2021; accepted May 14, 2021. Date of publication May 20, 2021; date of current version September 20, 2021. The work of Zhijing Liao was supported by the joint "Queen Mary University of London - China Scholarship Council" scholarship. The work of Guang Li was supported in part by the Wave Energy Control Systems Programme by Wave Energy Scotland, and in part by EPSRC projects under Grants EP/V040650/1 and EP/P023002/1. Paper no. TSTE-01104-2020. (Corresponding author: Guang Li.) Zhijing Liao and Guang Li are with the School of Engineering and Material Science, Queen Mary University of London, London E1 4NS, U.K. (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2021/5/21
Y1 - 2021/5/21
N2 - 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.
AB - 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.
KW - Arbitrary heading
KW - auto-regressive prediction
KW - high capacity
KW - linear non-causal optimal control
KW - multi-float WEC
KW - multiple PTO
UR - http://www.scopus.com/inward/record.url?scp=85107206302&partnerID=8YFLogxK
U2 - 10.1109/TSTE.2021.3082510
DO - 10.1109/TSTE.2021.3082510
M3 - Article
AN - SCOPUS:85107206302
SN - 1949-3029
VL - 12
SP - 2123
EP - 2131
JO - IEEE Transactions on Sustainable Energy
JF - IEEE Transactions on Sustainable Energy
IS - 4
ER -