Description: 析了变速恒频双馈风力发电系统的工作原理。结合风力机特性和双馈发电机特性,说明了变速恒频运行方式下的最优风能捕获策略,并介绍了风力发电系统的滑模变结构控制、自适应控制、鲁棒控制和人工神经网络控制。总结了变速恒频风力发电系统的发展趋势。-Analysis of a Variable Speed Constant Frequency Wind Power Generation System works. Combination of wind turbine characteristics and the characteristics of doubly-fed generator, variable speed constant frequency shows the optimal operating mode to capture wind energy strategy, and introduced wind power generation system with variable structure control, adaptive control, robust control and artificial neural networks control. Summarizes the VSCF wind power system trends. Platform: |
Size: 429056 |
Author:wuxing |
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Description: 详细的双馈发电机模型,包括变桨系统、偏航系统、控制系统、齿轮箱等。-Detailed model of doubly-fed generator, including the pitch system, yaw system, control system, gear boxes. Platform: |
Size: 2061312 |
Author:孙玉盛 |
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Description: 6兆瓦风力机控制系统的最大功率控制,主要控制方式为PI功率控制,对相关人员来说是个不错的教程。-The maximum power of 6 MW wind turbine control system controls the main power control PI control mode , the relevant personnel is a good tutorial.
Platform: |
Size: 58368 |
Author:nextfuture00 |
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Description: 计算风力机叶片以及塔架自振频率及其振型的源程序-Calculation of wind turbine blades and tower natural frequencies and mode shapes of the source Platform: |
Size: 36864 |
Author:胤礽 |
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Description: A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model
analysis and the control strategy of the system are presented in this paper. The system consists of the PV
power, wind power, and an intelligent power controller. The General Regression Neural Network (GRNN)
algorithm applied to PV generation system which has non-linear characteristic and analyzed performance.
A high-performance on-line training radial basis function network-sliding mode (RBFNSM) algorithm
is designed to derive the turbine speed to extract maximum power the wind.-A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model
analysis and the control strategy of the system are presented in this paper. The system consists of the PV
power, wind power, and an intelligent power controller. The General Regression Neural Network (GRNN)
algorithm applied to PV generation system which has non-linear characteristic and analyzed performance.
A high-performance on-line training radial basis function network-sliding mode (RBFNSM) algorithm
is designed to derive the turbine speed to extract maximum power the wind. Platform: |
Size: 846848 |
Author:Rachid/s |
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