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Variable Speed Pitch Control Of Floating Offshore Wind Turbine And Design Of Wind Farm Monitoring System

Posted on:2022-08-16Degree:MasterType:Thesis
Country:ChinaCandidate:J F WangFull Text:PDF
GTID:2492306536467414Subject:Engineering (Control Engineering)
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As the onshore wind power capacity becomes more and more saturated,the development of abundant offshore wind energy resources has become a global development trend.Offshore floating wind turbines often face a harsher working environment during actual operation,so that external disturbances always exist at all times,and in the long-term operation process,some parameters of the wind turbine’s various system modules will appear uncertain,such as parts System parameter changes caused by aging,at the same time,the occurrence of various actuators and sensor failures is also unavoidable.In most cases,the occurrence of faults is random and unpredictable.After the fault occurs,the performance of the entire wind turbine will be reduced,which will affect the stable power output of the generator,and even catastrophic accidents may occur.Therefore,advanced control methods are urgently needed to eliminate the impact of these problems on the system,so as to ensure a stable maximum power output.Based on the current domestic and foreign wind power technology foundation,this paper firstly combines the control method of finite time convergence to solve the problems of uncertain system parameters and external disturbances in the under-powered operation state of the wind turbine,and finally guarantees the maximum output power of the generator.Secondly,when the wind turbine is operating in the full power range,taking into account the external disturbance of the pitch system,the actuator failure and the sensor failure,the method of double fault fault-tolerant control based on sliding mode state reconstruction is used to eliminate the effect of faults and disturbances on the system dynamics.The impact of performance,so as to ensure the stable output of rated power.Finally,this article combines online fault diagnosis technology,real-time database Trend DB and Java back-end development technology to establish a visualization system that can monitor the real-time data and fault information of the wind farm in real time,and realize the online monitoring of the operation status of the entire wind farm,which has better The practical application significance.The following is the main research work of this article:(1)The characteristics of wind energy conversion system and variable pitch wind turbines are studied,generator and rotor models under under-power operation are established,and external disturbances and internal parameter uncertainties are considered,and maximum power control based on finite time convergence is proposed.(2)Study the characteristics of the variable pitch system model including disturbance,actuator failure and sensor failure under the full power operation of the wind turbine,combined with a generalized sliding mode observer,to estimate the system pitch angle,actuator failure and sensor failure,thereby The controller is designed to reconstruct the state of the original faulty system so as to realize the compensation for the fault and ensure the stability of the system.(3)Using FAST-MATLAB joint simulation,simulation analysis is carried out for 5MW Spar wind turbine.The actual simulation effects of the two controllers are verified,which can not only achieve the maximum power output in the under-power state,but also ensure the stable output rated power in the full power state.(4)Considering the complex working environment of floating wind farms,combined with Trend DB real-time database,Java background development technology,online fault diagnosis and other technologies,establish a wind farm real-time monitoring system to achieve centralized management of wind farms,statistical analysis,online fault diagnosis and operation maintenance,etc.Features.
Keywords/Search Tags:Floating Wind Turbine, Pitch Control, Actuator Failure, Fault-tolerant Control, Real-time Monitoring of Wind Farm
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