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A control method using PI/fuzzy controllers based DFIG in wind energy conversion system

机译:基于PI /模糊控制器的风能转换系统DFIG的控制方法

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Due to the recent needs for the expansion of renewable energy as sources of electrical energy, wind energy conversion is receiving widely used concept. The aim of this paper is to propose a control method for a doubly-fed induction generator used in wind energy conversion systems. The d-q model of the wound rotor induction machine, in rotor reference frame, is presented. The system is modeled and simulated in the Matlab Simulink environment. In order to control the power flowing between the stator of (DFlG) and the grid, a control law is synthesized using PI conventional combined with fuzzy controllers. These later are designed to tune along with the conventional PI-controllers for the control of active and reactive power of a wind-turbine operating under the wind speed change. Simulation results are obtained with the driving torque taking account of applied wind conditions. It is found that the PI parameters of this controller do not affect the desired power. The generated power is optimized whereas the reference power was tracked and the power-factor of operation was nearest to the unity. One shows that the machine parameters variations affect the system operation and their taking account contribute to improve the generated power. The obtained results were validated with other researchers using other strategies.
机译:由于近期扩大可再生能源作为电能来源的需求,风能转换是接受广泛使用的概念。本文的目的是提出一种用于风能转换系统中使用的双馈感应发生器的控制方法。呈现了在转子基准框架中的卷绕转子感应机的D-Q模型。系统在MATLAB Simulink环境中进行建模和模拟。为了控制在(DFLG)的定子与电网之间流动的功率,使用PI常规与模糊控制器合成控制定律。这些后来旨在与传统的PI控制器一起调谐,以控制在风速变化下操作的风力涡轮机的主动和无功功率。使用驾驶扭矩考虑到施加的风力条件,获得仿真结果。发现该控制器的PI参数不会影响所需的功率。所产生的功率优化,而跟踪参考电量并且操作的功率因数最接近统一。人们表明,机器参数变化会影响系统操作,并且他们的考虑因素有助于提高所产生的功率。使用其他策略与其他研究人员验证了所获得的结果。

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