This paper presents a novel maximum-power-point-tracking (MPPT) algorithm in wind-
turbine generation systems using neural network compensator based on the slope of the …

In this paper, an Artificial Neural Network (ANN) based Maximum Power Point Tracking
(MPPT) controller for Wind Energy Conversion Systems (WECS) is proposed, that achieves …

This paper proposes a dynamic maximum power point tracking (MPPT) controller for a
permanent magnet synchronous generator (PMSG)-based variable speed autonomous wind …

This paper proposes the method combining artificial neural network (ANN) with particle
swarm optimization (PSO) to implement the maximum power point tracking (MPPT) by …

Wind turbine system due to its aerodynamic and generator components is a nonlinear and
strongly coupled system. These characteristics influence the efficiency and performance of …

In the field of wind turbine performance optimization, many techniques are employed to track
the maximum power point (MPPT), one of the most commonly used MPPT algorithms is the …

Due to the uncontrollable natural characteristic of wind speed and the large size of wind
turbine, it is very difficult and sometimes impossible to do the experimental study of control …

In grid connected wind turbine (WT) systems, the maximum power point tracking (MPPT)
approach has a crucial role in optimizing the wind energy efficiency. To search for the …

A new maximum power point tracking (MPPT) controller using artificial neural networks
(ANN) for variable speed wind energy conversion system (WECS) is proposed. The …

This paper proposes the method combining artificial neural network with particle swarm
optimization (PSO) to implement the maximum power point tracking (MPPT) by controlling …