LAPSE:2023.6186
Published Article
LAPSE:2023.6186
An Improved Hydraulic Energy Storage Wave Power-Generation System Based on QPR Control
Zhigang Liu, Wei Huang, Shi Liu, Xiaomei Wu, Chun Sing Lai, Yi Yang
February 23, 2023
According to the inherent characteristics of the hydraulic power take-off (PTO) system, the output power of a generator tends to be intermittent when the wave is random. Therefore, this paper aims to improve the effective utilization of wave energy and reduce power intermittency by constructing a topology with two branches to transmit electrical energy. Firstly, the wave-to-wire (W2W) model of the system is constructed. Secondly, the W2W model is simulated by using synovial and quasi-proportional resonance (QPR) control with regular and irregular incident waves, and the results of PI control are compared. Then, the control strategy in simulation is verified by experiments. The simulation and experimental results show that the control strategy has better performance, and the stability of the system output power is greatly improved.
Keywords
hydraulic PTO, QPR control, W2W models, wave power-generation system
Suggested Citation
Liu Z, Huang W, Liu S, Wu X, Lai CS, Yang Y. An Improved Hydraulic Energy Storage Wave Power-Generation System Based on QPR Control. (2023). LAPSE:2023.6186
Author Affiliations
Liu Z: China Southern Power Grid Technology Co., Ltd., Guangzhou 510060, China
Huang W: Department of Electrical Engineering, School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Liu S: China Southern Power Grid Technology Co., Ltd., Guangzhou 510060, China
Wu X: Department of Electrical Engineering, School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Lai CS: Department of Electrical Engineering, School of Automation, Guangdong University of Technology, Guangzhou 510006, China; Brunel Interdisciplinary Power Systems Research Centre, Department of Electronic and Electrical Engineering, Brunel University London, [ORCID]
Yang Y: China Southern Power Grid Technology Co., Ltd., Guangzhou 510060, China
Journal Name
Energies
Volume
16
Issue
2
First Page
647
Year
2023
Publication Date
2023-01-05
Published Version
ISSN
1996-1073
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PII: en16020647, Publication Type: Journal Article
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doi:10.3390/en16020647
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