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In this paper, we propose a vector control of a doubly fed induction generator (DFIG) for variable speed wind power generation. The model is developed based on the dual powered generator for the control of the active and reactive powers. Several studies are carried out to test their operation under different wind conditions. The results have shown good performances of the wind energy converter system...
The sun and wind based generation are well-thoroughly considered to be alternate source of green power generation which can mitigate the power demand issues. This paper introduces a standalone hybrid power generation system consisting of solar and permanent magnet synchronous generator (PMSG) wind power sources and a AC load. A supervisory control unit, designed to execute maximum power point tracking...
Wind energy has many advantages, because it does not pollute and is an inexhaustible source of energy. The Double Fed Induction Generator (DFIG) is one of the most important electric generator used for Horizontal Axis Wind Turbine (HAWT). In this paper, a Discrete-time Neural Input-Output Feedback Linearization Control (N-IOFLC) for DFIG is proposed to force the rotor currents to track specified reference...
A Backstepping adaptive control is proposed in this paper in order to raise the extraction of power in variable speed wind turbine in region two. This wind turbine is modeled by two masses drive-train with generator torque control. By using the model obtained, an algorithm of adaptive Backstepping has been designed to achieve the global asymptotic generator with speed tracking and to estimate the...
This paper focuses on a proposed Maximum Power Point Tracking (MPPT) methodology based on artificial neural network (ANN) scheme. The proposed MPPT strategy uses an ANN as a controller that provides optimum wind-energy acquisition in variable speed case. The ANN training is done according to the data possession obtained by the different equations establishing the model of the wind turbine in the optimal...
this article explains a methodology for optimal sizing of hybrid PV/Wind battery system. The methodology is based on Loss of Power Supply Probability (LPSP) concept and Annual System Cost (ASC). First the Annual System Cost is optimized using Backtracking search algorithm. Afterward the influence of the load profile on the LPSP is simulated.
In this work, a hybrid system has been simulated and optimized, this system is composed with three generators, two on renewable energy (solar and wind power) and a diesel generator. This central distributes energy to a small village in southwest of Algeria named “Timiaouine”, this central has been sized using mathematic parameter and repartition of consumption for 24 hours in both seasons; winter...
Nowadays, the continuously increasing of the energy consumption all over the world presents the cause of renewable energy sources development. In this context, wind energy conversion systems (WECS) based on double fed induction generator (DFIG) are widely used in both grid connected and stand-alone modes. In both cases, management and control technologies are widely developed in the literature. In...
In this paper, wind generator modeling is presented including the algorithm for maximizing the extracted power. The DFIG stator winding is directly connected to the utility grid and the rotor winding is connected via a back to back converter. The oriented flux control allows the machine to follow the set points of active and reactive power.
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