A Novel Vibration Suppression Device for Floating Offshore Wind Generator

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Xun Xu ◽  
Fen Lai ◽  
Guojun Li ◽  
Xiangyuan Zhu ◽  
Liping Zhu
Keyword(s):  
Wind Power ◽  
Vibration Suppression ◽  
Clean Energy ◽  
Working Environment ◽  
Offshore Wind ◽  
Stable Operation ◽  
Power Station ◽  
Offshore Wind Power ◽  
Wind Generator ◽  
Wind Power Station

With the increasing demand for clean energy, offshore wind power is developing rapidly. But compared to onshore situation, the working environment at sea is very complicated. In order to ensure the stable operation of generators, higher requirements are put forward for the capability of offshore wind power structures to resist wind and waves. This paper proposes a new combined vibration suppressing device, which can be used to suppress the swaying vibration of offshore floating wind generator under waves. The floating wind power station tower was modeled, the wave force and the torsion force of the tower were analyzed, and the fluid structure interaction numerical simulation was carried out. The calculation results demonstrate that the amplitudes of the tower torsion angle have been attenuated by 8%, 11%, and 17% with different vibration suppression devices which are tuned mass damper (TMD), tuned liquid damper (TLD), and a tuned immersed mass and liquid damper. In this case, the new combined device has the best vibration suppression performance. It is validated that compared to the other two single vibration suppression devices, the new combined device has better vibration suppression capacity, and a new way is provided to design the vibration suppression device for offshore floating wind power station.

A Novel Vibration Suppression Device for Floating Offshore Wind Generator

2018 ◽  
Author(s):  
Xun Xu ◽  
Fen Lai ◽  
Guojun Li ◽  
Xiangyuan Zhu ◽  
Liping Zhu
Keyword(s):  
Numerical Simulation ◽  
Wind Power ◽  
Vibration Suppression ◽  
Wave Force ◽  
The Other ◽  
Offshore Wind ◽  
Power Station ◽  
Wind Generator ◽  
Wind Power Station ◽  
Calculation Results

This paper proposes a new combined vibration suppressing device, which can be used to suppress the swaying vibration of off-shore floating wind generator under waves. The floating wind power station tower was modeled, the wave force and the torsion force of the tower were analyzed and the FSI numerical simulation was carried out. The calculation results demonstrate that the amplitudes of the tower torsion angle have been attenuated by 8%, 11% and 17% with different vibration suppression devices which are TMD, TLD and new combined device. In this case the new combined device has the best vibration suppression performance. It is validated that compared to the other two single vibration suppression devices, the new combined device has better vibration suppression capacity and a new way is provided to design the vibration suppression device for off shore floating wind power station.

scholarly journals OBSERVATIONS OF WAVE AND WAVE PRESSURE AT THE CHOSHI OFFSHORE WIND POWER STATION AND TECHNICAL PROBLEMS IN JAPAN

2014 ◽  
Vol 70 (2) ◽  
pp. I_13-I_18
Author(s):  
Yukinari FUKUMOTO ◽  
Osamu MAEDA ◽  
Takako FUKUYAMA ◽  
Tsuyoshi IKEYA ◽  
Satoshi INAGAKI ◽  
...  
Keyword(s):  
Wind Power ◽  
Offshore Wind ◽  
Power Station ◽  
Technical Problems ◽  
Wave Pressure ◽  
Offshore Wind Power ◽  
Wind Power Station

scholarly journals Scour Resistance Evaluation of the Seabed at Choshi Offshore Wind Power Station

2014 ◽  
Vol 70 (2) ◽  
pp. I_1046-I_1050
Author(s):  
Takako FUKUYAMA ◽  
Nobuyuki IWAMAE ◽  
Koji HAYASHIDA ◽  
Tsuyoshi IKEYA ◽  
Hiroyuki SUKEGAWA ◽  
...  
Keyword(s):  
Wind Power ◽  
Offshore Wind ◽  
Power Station ◽  
Resistance Evaluation ◽  
Offshore Wind Power ◽  
Wind Power Station

scholarly journals Determining the Optimal Offshore Wind Power Station Using a Two-Stage MCDM-Based Spherical Fuzzy Set Approach

2021 ◽  
Author(s):  
Chia-Nan Wang ◽  
Ngoc-Ai-Thy Nguyen ◽  
Thanh-Tuan Dang
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Wind Energy ◽  
Wind Power ◽  
Evaluation Criteria ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Power Station ◽  
Offshore Wind Power ◽  
Wind Power Station

Abstract In response to challenges from the COVID-19 pandemic and climate change to achieve the goal of ensuring sustainable economic growth, offshore wind power development not only provides a clean and sustainable source of energy but also provides opportunities for economic growth and job creation. Offshore wind energy projects have been promptly suggested in Vietnam as a result of policy advancement, with the country's excellent wind resources. The success of an offshore wind energy project is decided mainly by choosing the best location for offshore wind power station (OWPS) construction, which is a complex multicriteria decision-making (MCDM) problem with the coexistence of conflicting factors. There is a problem with incomplete decision information use and information loss during the decision-making process, and it is easy to overlook the interaction difficulty in a fuzzy environment. To address the complex nature of the prioritization problem posed, this study proposes a hybrid MCDM framework combining the spherical fuzzy analytical hierarchy process (SF-AHP) and weighted aggregated sum product assessment (WASPAS). SF-AHP is used in the first stage to determine the significance levels of OWPS evaluation criteria. WASPAS is then utilized to rank locations of OWPS. A comprehensive set of evaluation criteria developed based on the concept of sustainable development has been recognized by reviewing the literature review and interviewing experts to practice the two-stage MCDM model. A real case study for Vietnam is conducted to test the effectiveness of the proposed method. The best location schemes have been determined by using the decision framework. The results of the sensitivity analysis and a comparison analysis demonstrate that the decision framework is practical and robust. Ultimately, the evaluation criteria and methodology presented in this work can serve as a theoretical foundation for the advancement of offshore wind energy and coastal development.

scholarly journals Small-signal modeling and stability analysis of grid-connected offshore wind power based on virtual synchronous generator control

2021 ◽  
Vol 2087 (1) ◽  
pp. 012055
Author(s):  
Lihu Dong ◽  
Danqing Song ◽  
Zhuo Chen
Keyword(s):  
Wind Power ◽  
Power Grid ◽  
Synchronous Generator ◽  
Offshore Wind ◽  
System Stability ◽  
Design Parameters ◽  
Stable Operation ◽  
Small Signal ◽  
Offshore Wind Power ◽  
Grid Connected Inverter

Abstract With the increasing installed capacity of offshore wind power, the grid-connected of offshore wind power technology based on virtual synchronous generators (VSG) control can simulate the inertia and damping characteristics of synchronous generator, which is helpful to improve the networking ability and inertial supportability of grid-connected inverter. However, VSG control also inevitably causes system oscillation, endangers the safe and stable operation of the power grid. Hence, the main circuit and control circuit of offshore wind power grid connection are firstly modeled, and the small-signal model of offshore wind power grid-connected inverter based on VSG control is obtained. Then the correctness of the model is verified by Matlab/Simulink software. Finally, the root trajectory method is used to identify the effects of VSG control parameters and line parameters on the system stability. The results show that VSG control has a significant influence on the stability of the grid-connected system, and reasonable design parameters are needed to ensure the safe and stable operation of the power grid.

scholarly journals Forecast Research on Multidimensional Influencing Factors of Global Offshore Wind Power Investment Based on Random Forest and Elastic Net

2021 ◽  
Vol 13 (21) ◽  
pp. 12262
Author(s):  
Mingyu Li ◽  
Dongxiao Niu ◽  
Zhengsen Ji ◽  
Xiwen Cui ◽  
Lijie Sun
Keyword(s):  
Random Forest ◽  
Wind Power ◽  
Influencing Factors ◽  
Clean Energy ◽  
Forecast Model ◽  
Elastic Net ◽  
Offshore Wind ◽  
Low Carbon ◽  
Offshore Wind Power ◽  
Low Carbon Energy

Recently, countries around the world have begun to develop low-carbon energy sources to alleviate energy shortage and cope with climate change. The offshore wind power has become a new direction for clean energy exploration. However, the accuracy of offshore wind power investment is still an urgent problem due to its complexity. Therefore, this paper investigates offshore wind power investment to improve the investment forecasting accuracy. In this study, the random forest (RF) algorithm was used to screen out the key factors influencing multi-dimensional global offshore wind power investment, and the elastic net (EN) was optimized using the ADMM algorithm and used in the global offshore wind power investment forecast model. The results show that the adoption of the random forest algorithm can effectively screen out the key influencing factors of global offshore wind power investment. Water depth, offshore distance and sweeping area have the most influence on the investment. Moreover, compared with other models, the elastic net optimized by ADMM can better reflect the changing trend of global offshore wind power investment, with smaller errors and a higher regression accuracy. The application of the RF–EN combined model can screen out effective factors from complex multi-dimensional influencing factors, and perform high-precision regression analysis, which is conducive to improving the global offshore wind power investment forecast. The conclusion obtained can set a more reasonable plan for the future construction and investment of global offshore wind power projects.

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