Abstract
In this work, a robust Adaptive sliding mode controller (ASMC) is proposed to improve the dynamic performance of the Doubly Fed Induction generator (DFIG) based wind system under variable wind speed conditions. Firstly, the dynamic modeling of the main components of the system is performed. Thereafter, the ASMC is designed to control the active and reactive powers of the machine stator. The structure of these controllers was improved by adding two integral terms. Their sliding gains are determined using Lyapunov stability theorem to make them automatically adjusted in order to tackle the external disturbances. Maximum Power Point Tracking (MPPT) strategy was also applied to enhance the power system efficiency. Then, a comparison study with the Field Oriented Control (FOC) based on conventional PI control was conducted to assess the robustness of this technique under the DFIG parameters variations. Finally, a computer simulation was achieved in MATLAB/SIMULINK environment using 2MW wind system model. Satisfactory performances of the proposed strategy were clearly confirmed under variable operating conditions.
Highlights
The over consumption of fossil fuels like oil, coal and natural gas can cause a serious environmental problems such as temperature increases, acid rain and air pollution which have a negative impact on humans, animals and plants [1]
A robust Adaptive Sliding Mode Controller (ASMC) is proposed to control the powers flow of the wind turbine based on Doubly Fed Induction generator (DFIG) under fluctuating wind speed
A comparative study between the field oriented control with classical PI controllers and the Adaptive sliding mode controller (ASMC) was conducted in order to assess the effectiveness and robustness of this techniques against DFIG parameter variations
Summary
The over consumption of fossil fuels like oil, coal and natural gas can cause a serious environmental problems such as temperature increases, acid rain and air pollution which have a negative impact on humans, animals and plants [1]. To improve the SMC efficiency, the controlled active power should track an optimal reference value This can be achieved by using Maximum Power Point Tracking (MPPT) technique, which is applied when the wind speed is below its rated value [17]. The optimal power reference is generated using MPPT-OPC This technique is widely employed in literature for slow varying wind velocity due to its simplicity and effectiveness without necessity of wind speed measurements. A robust Adaptive Sliding Mode Controller (ASMC) is proposed to control the powers flow of the wind turbine based on DFIG under fluctuating wind speed. The obtained results from the implementation of the wind system model using MATLAB/SIMULINK environment are discussed and interpreted
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