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Output power fluctuation of the wind turbine generator is a serious issue for power systems. The battery energy storage system is installed to the power system to solve this problem. However, the large battery energy storage system can increase the capital cost of the wind turbine generator system. Hence, the capacity of the battery should be reduced as much as possible. This article presents anH∞based control method for the output power smoothing method of the wind turbine generator by using a battery energy storage system. The output power fluctuation of the wind turbine generator is considered in the frequency domain. Low-frequency fluctuations are smoothed by pitch angle control of the wind turbine generator, while high-frequency variations are smoothed by charge or discharge of the battery energy storage system, respectively. The battery energy storage system’s capacity and mechanical stress of wind turbine blades can be reduced by the proposed method. In addition, the gain-scheduled control theory is applied to the pitch angle control system of the wind turbine generator. Therefore, the robust control performance for high non-linearities of the wind turbine generator model can be achieved. The effectiveness of the proposed method is validated by numerical simulations. [ABSTRACT FROM AUTHOR]

In this article, a technique is proposed for maximum power-point tracking control of a wind generation system. The optimal operation speed to which the wind turbine output power maximizes is determined with parameters identified by an iterative least squares technique. The effectiveness of the maximum point tracking control with identified parameters of wind turbine is verified by computer simulation. In addition, the article discusses how to address rotational speed and output power in the case when the wind turbine parameters used for determining the optimum rotational speed have errors. [ABSTRACT FROM AUTHOR]

To realize the maximum efficiency control and/or flux-weakening control for interior permanent magnet synchronous motors, exact motor parameters are typically required. It is well known that motor parameters vary with driving conditions such as temperature and magnetic saturation. In this article, the effect of parameter variations on the performance of maximum efficiency control and flux-weakening control are quantitatively investigated. Then, an on-line parameter identification method is proposed to prevent parameter variation from degrading the control performance. This method simultaneously identifies motor parameters involved in the control strategies by using both the recursive least-squares method and constant gain adaptive identification method. The effectiveness of the maximum efficiency control and flux-weakening control incorporated with on-line parameter identification strategy is confirmed by computer simulations. [ABSTRACT FROM AUTHOR]