Ringwood, John, Bacelli, Giorgio and Fusco, Francesco (2014) Control, forecasting and optimisation for wave energy conversion. Proceedings of the 19th IFAC World Congress. pp. 7678-7689.
Preview
JR_Control, forecasting.pdf
Download (957kB) | Preview
Abstract
This paper presents an overview of the motivation, background to and state-of-
the-art in energy maximising control of wave energy devices. The underpinning mathematical
modelling is described and the control fundamentals established. Two example control schemes
are presented, along with some algorithms for wave forecasting, which can be a necessary
requirement, due to the non-causal nature of some optimal control strategies. One of the control
schemes is extended to show how cooperative control of devices in a wave farm can be beneficial.
The paper also includes perspectives on the interaction between control and the broader
objectives of optimal wave energy device geometry and full techno-economic optimisation of
wave energy converters.
Item Type: | Article |
---|---|
Keywords: | Wave energy; control; optimisation; power maximisation; wave forecasting; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 6780 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 13 Jan 2016 15:40 |
Journal or Publication Title: | Proceedings of the 19th IFAC World Congress |
Publisher: | IFAC |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/6780 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year