Failure Analysis of Large-Scale Wind Power Structure under Simulated Typhoon

Zhang, Zihua; Li, Junhua; Zhuge, Ping

doi:10.1155/2014/486524

Cited by 12 publications

(12 citation statements)

References 15 publications

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“…Rose et al presented a method to estimate the catastrophic risk to offshore wind power using simulated hurricanes, and they estimated the fraction of offshore wind power offline and the cumulative regional damage simultaneously. Zhang et al simulated a typhoon wind field based on the classical autoregressive model and a regional power spectrum density model, and the simulated spectrum was verified to be in good agreement with the target spectrum. Thus, a typhoon wind code can be established according to their data in the future.…”

Section: Introductionsupporting

confidence: 71%

Ultimate load design of jacket‐type offshore wind turbines under tropical cyclones

Jiang

et al. 2019

Wind Energy

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Tropical cyclones are a high risk to offshore wind turbine (OWT) support structures, so the design conditions, including this risk, are necessary for tropical cyclone frequent occurrence zones. This study developed a computer program to carry out a critical ultimate load analysis and determine the optimum design for a Jacket‐type OWT support structure. The total weight of the OWT support structure after the optimal steel design with the yaw operative condition is always considerably smaller than that without for the steel design results under the loads of the GL Tropical Cyclone Technical Note (GL TCTN). This paper studies OWTs under the tropical cyclone classes 1 to 3 and the terrain categories A, to C, where the 1‐minute wind speed at 10‐m height is gradually increased from classes 1 to 3, and the surface roughness decreases from A to C. When the yaw can operate, the total steel weight consumption due to the tropical cyclone 1C, 1B, and 2C loads is lower than that for the IEC 61400‐3 loads. In the case of 1A, the overall steel consumption is only slightly higher than that of the IEC 61400‐3. However, for other conditions, the design should include the GL TCTN loads. For the yaw inoperative condition, the GL TCTN results are always largely dominant in the steel design, so the use of only the IEC 61400‐3 condition will result in extremely high risk to OWT support structures.

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Section: Introductionsupporting

confidence: 71%

Ultimate load design of jacket‐type offshore wind turbines under tropical cyclones

Jiang

et al. 2019

Wind Energy

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“…e operations of wind power generation systems involve various decision-making problems and have attracted much attention from researchers. Earlier studies developed optimization models and algorithms to assist decision-making in wind turbine location [4], cable routing [5], power generation forecasting [6,7], failure analysis [8], disruption and maintenance operations [9,10], etc. Methodologies mainly include mixed integer linear programming, game theory, fuzzy theory, and heuristic algorithms [5,11,12].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Disruption Recovery Operations for Wind Farms considering Power Generation Loss and Repair Time Uncertainty

Zhang

Jin

et al. 2020

Mathematical Problems in Engineering

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The development of wind power in China shows a dramatic growth in the past decade in terms of installed capacity. However, wind power companies mainly focus on the construction of new wind farms continuously, while operations management once wind farms are built is seldom paid attention to. The problem is crucial for ensuring efficient power generation, especially when wind turbines’ performance declines over time and disruption/failure often occurs. Efficient disruption recovery operations are critical for restoring the failures of wind turbine generators as fast as possible. This paper aims to optimize the disruption recovery operations for wind farms by determining the maintenance schedule and route for multiple maintenance teams. This optimization problem is formulated as a deterministic mixed integer linear programming model with the objective of minimizing the loss of power generation due to failure. In view of the high uncertainty of repair time, a chance-constrained programming model and a cutting-plane solution algorithm are further proposed. A case study based on a real wind farm demonstrates (1) the proposed model is applicable for solving real-world-sized problems; (2) the optimal maintenance route often shows a crossing pattern, which is quite different from that of traditional vehicle routing problems; and (3) the working time limit violation for maintenance teams due to uncertain repair time can be effectively avoided. Overall, the proposed optimization model provides decision-making support for wind farm maintenance work and shows a great potential in wind farm energy management.

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“…According to the measured data of typhoon Usagi, Chen [20][21][22] fitted the wind profile to construct the wind field of typhoon using solely the average speed, and carried out the static analysis of wind turbine. In other reports, the fluctuating wind field was simulated by combining the power spectrum and the wind profile [23,24]. The spectrums used in these simulations are fitted according to the data of the normal wind.…”

Section: Introductionmentioning

confidence: 99%

Study of Dynamic Response Characteristics of the Wind Turbine Based on Measured Power Spectrum in the Eyewall Region of Typhoons

Han

Wang

et al. 2019

Applied Sciences

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The present research envisages a method for calculating the dynamic responses of the wind turbines under typhoon. The measured power spectrum and inverse Fourier transform are used to generate the fluctuating wind field in the eyewall of the typhoon. Based on the beam theory, the unsteady aerodynamic model and the wind turbine dynamic model are coupled to calculate the dynamic response. Furthermore, using this method, the aeroelastic responses of a 6 MW wind turbine at different yaw angles are studied, and a 2 MW wind turbine are also calculated to verify the applicability of the results for different sizes of wind turbines. The results show that the turbulence characteristics of the fluctuating wind simulated by the proposed method is in good agreement with the actual measurement. Compared with the results simulated by the recommended power spectrum like the Kaimal spectrum, the energy distribution and variation characteristics simulated by the proposed method represent the real typhoon in a superior manner. It is found that the blade vibrates most violently at the inflow yaw angle of 30 degrees under the coupled effect of the aerodynamic, inertial and structural loads. In addition, the load on the tower exceeds the design limit values at the yaw angles of both 30 degrees and 120 degrees.

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Failure Analysis of Large-Scale Wind Power Structure under Simulated Typhoon

Cited by 12 publications

References 15 publications

Ultimate load design of jacket‐type offshore wind turbines under tropical cyclones

Ultimate load design of jacket‐type offshore wind turbines under tropical cyclones

Optimizing Disruption Recovery Operations for Wind Farms considering Power Generation Loss and Repair Time Uncertainty

Study of Dynamic Response Characteristics of the Wind Turbine Based on Measured Power Spectrum in the Eyewall Region of Typhoons

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