A comparison of efficiency-aware model-predictive control approaches for wave energy devices

Sergiienko, Nataliia Y.; Bacelli, Giorgio; Coe, Ryan G.; Cazzolato, Benjamin S.

doi:10.1007/s40722-021-00214-x

A comparison of efficiency-aware model-predictive control approaches for wave energy devices

Journal Article · Sat Sep 18 00:00:00 EDT 2021 · Journal of Ocean Engineering and Marine Energy

DOI:https://doi.org/10.1007/s40722-021-00214-x· OSTI ID:1834349

^[1]; Bacelli, Giorgio ^[2]; Coe, Ryan G. ^[2]; Cazzolato, Benjamin S. ^[1]

Univ. of Adelaide, SA (Australia)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

In this study, we compare four different formulations of model predictive control that attempt to maximise electrical power generated by a wave energy converter (WEC). Control laws include (1) pure maximisation of mechanical power, (2) maximisation of mechanical power with a control penalty factor, (3) maximisation of electrical power using power conversion efficiency, and (4) maximisation of electrical power using the full electro-mechanical model of a system. For this study, a wave-to-wire model is developed for a floating spherical buoy connected to a permanent magnet synchronous generator. The performance of the controllers, including the mechanical and electrical power outputs, is compared in irregular wave conditions for the unconstrained and force-constrained scenarios. The results demonstrate that the controller designed to maximise mechanical power is not suitable for practical applications and may lead to negative electrical power output due to the non-ideal power take-off efficiency. Moreover, the replacement of the power take-off dynamics by the efficiency coefficient does not guarantee the maximum electrical power production.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 1834349

Report Number(s):: SAND--2021-15309J; 702148

Journal Information:: Journal of Ocean Engineering and Marine Energy, Journal Name: Journal of Ocean Engineering and Marine Energy Vol. 8; ISSN 2198-6444

Publisher:: Springer International PublishingCopyright Statement

Country of Publication:: United States

Language:: English

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