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A novel control method to maximize the energy-harvesting capability of an adjustable slope angle wave energy converter
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Tri, Nguyen Minh, Trương, Đình Quang, Thinh, Do Hoang, Binh, Phan Cong, Dung, Dang Tri, Lee, Seyoung, Park, Hyung Gyu and Ahn, Kyoung Kwan (2016) A novel control method to maximize the energy-harvesting capability of an adjustable slope angle wave energy converter. Renewable Energy, 97 . pp. 518-531. doi:10.1016/j.renene.2016.05.092 ISSN 0960-1481.
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Official URL: http://dx.doi.org/10.1016/j.renene.2016.05.092
Abstract
This paper introduces a novel control approach to maximizing the output energy of an adjustable slope angle wave energy converter (ASAWEC) with oil-hydraulic power take-off. Different from typical floating-buoy WECs, the ASAWEC is capable of capturing wave energy from both heave and surge modes of wave motions. For different waves, online determination of the titling angle plays a significant role in optimizing the overall efficiency of the ASAWEC. To enhance this task, the proposed method was developed based on a learning vector quantitative neural network (LVQNN) algorithm. First, the LVQNN-based supervisor controller detects wave conditions and directly produces the optimal titling angles. Second, a so-called efficiency optimization mechanism (EOM) with a secondary controller was designed to regulate automatically the ASAWEC slope angle to the desired value sent from the supervisor controller. A prototype of the ASAWEC was fabricated and a series of simulations and experiments was performed to train the supervisor controller and validate the effectiveness of the proposed control approach with regular waves. The results indicated that the system could reach the optimal angle within 2s and subsequently, the output energy could be maximized. Compared to the performance of a system with a vertically fixed slope angle, an increase of 5% in the overall efficiency was achieved. In addition, simulations of the controlled system were performed with irregular waves to confirm the applicability of the proposed approach in practice.
| Item Type: | Journal Article | ||||||||
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| Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Ocean wave power, Hydroelectric power plants, Algorithms | ||||||||
| Journal or Publication Title: | Renewable Energy | ||||||||
| Publisher: | Elsevier Ltd. | ||||||||
| ISSN: | 0960-1481 | ||||||||
| Official Date: | October 2016 | ||||||||
| Dates: |
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| Volume: | 97 | ||||||||
| Page Range: | pp. 518-531 | ||||||||
| DOI: | 10.1016/j.renene.2016.05.092 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 20 March 2017 | ||||||||
| Date of first compliant Open Access: | 20 March 2017 | ||||||||
| Funder: | Hangug eneoji gisul pyeong-gawon [Korean Energy Technology Evaluation and Planning] (KETEP), Korea (South). Sanggong Chawŏnbu [Ministry of Trade, Industry and Energy] | ||||||||
| Grant number: | G031518511 (KETEP) | ||||||||
| Adapted As: |
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