On the Failure Probability of Offshore Wind Turbines in the China Coastal Waters Due to Typhoons: A Case Study Using the OC4-DeepCwind Semisubmersible

Liu, Yichao; Li, Sunwei; Chan, Pak Wai; Chen, Daoyi

doi:10.1109/tste.2018.2834471

Cited by 29 publications

(13 citation statements)

References 40 publications

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“…When it comes to the development of offshore wind farm, the challenges cannot be neglected. Previous studies have indicated that offshore wind farms may face more economic, operational, and environmental challenges than onshore wind farms [10]- [15]. Among the challenges, the threats posted by ice are our concern in the present study because offshore structures deployed in cold regions have to undergo ice action [16], which could cause performance degradation and even damage to wind turbine (WT).…”

Section: Introductionmentioning

confidence: 95%

“…In recent years, as offshore wind power technology has made great progress, all countries regard offshore wind power as an important development direction of renewable energy [3]- [6]. At the end of 2017, the oceanic waters of eleven European countries had approximately 84% (15,780 MW) of all offshore wind farms, and most of the remaining 16% farms were located in China,…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Performance Analyses and Optimal Gain-Scheduling Control of Offshore Wind Turbine Under Ice Creep Loads

Song

Liu

et al. 2019

IEEE Access

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At high latitudes, offshore wind turbines often face unfavorable loads by severe ice-induced vibrations during winter season, which may endanger facilities available on the platforms and degrade operating performance of wind turbine. Hence, it is vital to analyze the influences caused by ice loads. In this paper, based on a real-time simulation model, quantifiable analyses of performance losses due to ice creep loads are firstly studied deeply. Under ice creep loads, reliable pitch control is necessary to ensure safety and high-level power-tracking capability of modern offshore wind turbine. However, uncertain influences of ice creep loads are coupled with wind turbine operation and make it a challenge for wind turbine pitch control using traditional Proportional-Integral (PI) controller from the view of industry. As a result, improved pitch control using optimal gain-scheduling strategy is proposed to alleviate impacts of ice loads where the support vector regression algorithm is adopted to represent the strong nonlinear relationship among PI parameters under different operation conditions. For each operation point, PI parameters are optimally tuned by the particle swarm optimization algorithm. Finally, the presented nonlinear optimal gain-scheduling PI (OGS-PI) controller is applied on regulating generation power and reducing tower top displacement caused by ice creep loads based on software of Fatigue, Aerodynamics, Structures, and Turbulence, a high-fidelity wind turbine simulator. Simulation results show that unfavorable influence of ice creep loads to wind turbine operation can be significantly alleviated by the OGS-PI controller, which performs much better than the traditional PI controller. INDEX TERMS Offshore wind turbine, ice loads, gain-scheduling control, optimal control, real-time.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Real-Time Performance Analyses and Optimal Gain-Scheduling Control of Offshore Wind Turbine Under Ice Creep Loads

Song

Liu

et al. 2019

IEEE Access

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“…According to the characteristics of the wind energy and wave energy including wave height, amplitude, wave velocity, wind speed, cycle, etc. in the coastal area of Zhoushan, Zhejiang, China [42], the input maximum rotary speed and linear speed of the DSLRPMG are set as 500 r/min and 0.15 m/s, respectively in this paper.…”

Section: Simulation and Experimental Analysismentioning

confidence: 99%

Decoupling control of a dual‐stator linear and rotary permanent magnet generator for offshore joint wind and wave energy conversion system

Zhang

Zhu

2020

IET Electric Power Applications

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Wind and wave energy are the main forms of offshore energy. In this study, a new joint wind and wave energy (JWWE) power conversion system, which simultaneously features wind power generation and wave power generation, is investigated. In the JWWE power generation system, a dual-stator linear and rotary permanent magnet generator (DSLRPMG) is employed to directly convert the wind and wave energy. The topology and operating principles of the power generation system are analysed, and the rectifier topology with two three-phase bridge converter is introduced for the JWWE power generation system. On the basis of the vector control method, the mathematical model of the DSLRPMG is deduced. The virtual flux direct power control method without any AC voltage sensors is applied for the power generation system. A new decoupling control method including flux decoupling and power decoupling is proposed and analysed. Meanwhile, an experimental setup is constructed, and the experiments are done. Both the simulation and experimental results show the validity and correctness of the control strategy.

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“…Floating offshore wind turbines (FOWTs) are the only viable solution for harvesting such deep‐water wind resources 4 . However, FOWTs might be subjected to complex and extreme wind and wave loads due to the harsh ocean conditions, which can result in unexpected mechanical and electric faults 5,6 . Particularly, the pitch control system, which is mainly used to optimize power generation and to alleviate blade loads, is involved in the biggest proportion (∼21.3%) of the overall failure rate for wind turbines 7 .…”

Section: Introductionmentioning

confidence: 99%

Fault‐tolerant individual pitch control of floating offshore wind turbines via subspace predictive repetitive control

et al. 2021

Self Cite

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Individual pitch control (IPC) is an effective and widely used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator faults, and this situation may lead to an emergency shutdown and increased maintenance costs. In this paper, a fault‐tolerant individual pitch control (FTIPC) scheme is developed to accommodate these faults in floating offshore wind turbines (FOWTs), based on a Subspace Predictive Repetitive Control (SPRC) approach. To fulfill this goal, an online subspace identification paradigm is implemented to derive a linear approximation of the FOWT system dynamics. Then, a repetitive control law is formulated to attain load mitigation under operating conditions, both in healthy and faulty conditions. Since the excitation noise used for the online subspace identification may interfere with the nominal power generation of the wind turbine, a novel excitation technique is developed to restrict excitation at specific frequencies. Results show that significant load reductions are achieved by FTIPC, while effectively accommodating blade and actuator faults and while restricting the energy of the persistently exciting control action.

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On the Failure Probability of Offshore Wind Turbines in the China Coastal Waters Due to Typhoons: A Case Study Using the OC4-DeepCwind Semisubmersible

Cited by 29 publications

References 40 publications

Real-Time Performance Analyses and Optimal Gain-Scheduling Control of Offshore Wind Turbine Under Ice Creep Loads

Real-Time Performance Analyses and Optimal Gain-Scheduling Control of Offshore Wind Turbine Under Ice Creep Loads

Decoupling control of a dual‐stator linear and rotary permanent magnet generator for offshore joint wind and wave energy conversion system

Fault‐tolerant individual pitch control of floating offshore wind turbines via subspace predictive repetitive control

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