Abstract
This paper introduces an innovative auto-optimisation control framework for wave energy converters (WECs) where the concept of dual control for exploration and exploitation (DCEE) is employed to effectively address this challenge in the realm of WECs. The control problem for WECs is characterised by its dynamic and unpredictable nature, demanding strong adaptivity and robustness based on wave predictions. A sophisticated automatic control framework is proposed that transforms the inherently periodic WEC control problem into an optimal operational parameter search problem. A DCEE approach is developed to optimally search the best operational condition through trading off between exploitation and exploration. More specifically, the DCEE approach contributes to the reduction of belief uncertainty in the identification of wave parameters, which is achieved by actively exploring the operating environment. It also facilitates the tracking of optimal operational conditions for power take-off force. Simulation results validates the effectiveness of this novel framework featuring the DCEE approach.
| Original language | English |
|---|---|
| Title of host publication | 2024 UKACC 14th International Conference on Control, CONTROL 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 25-30 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350374261 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 14th UKACC International Conference on Control, CONTROL 2024 - Winchester, United Kingdom Duration: 10 Apr 2024 → 12 Apr 2024 |
Publication series
| Name | 2024 UKACC 14th International Conference on Control, CONTROL 2024 |
|---|
Conference
| Conference | 14th UKACC International Conference on Control, CONTROL 2024 |
|---|---|
| Country/Territory | United Kingdom |
| City | Winchester |
| Period | 10/04/24 → 12/04/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- active learning
- auto-optimisation control
- dual control
- wave energy converter
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Systems Engineering
- Control and Optimization
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