Year-end Sale % OFF 
Abstract
This work presents a new Maximum Power Point Tracking (MPPT) for the connection of the wind turbine system (WT) to the synchronous permanent magnet generator (PMSG). To search the maximum power of the wind turbine, we have proposed a new MPPT which combines two techniques: Artificial Neural Network (ANN) and incremental conductance (IncCond) method. The advantage of ANN-based WT model method is the fast MPP approximation base on the ability of ANN according the parameters of WT that used. The advantage of IncCond method is the ability to search the exactly MPP based on the feedback voltage. In our case the ANN is employed to predict the maximum voltage of the WT, under different values of wind speed, and the control of DC–DC boost converter operation is executed by applying incremental conductance (IncCond) technique. The proposed system includes a wind turbine associated to a permanent magnet synchronous generator (PMSG), a rectifier and a DC-DC converter with MPPT control. The proposed algorithm is tested under MATLAB SIMULINK.
Highlights
Today, the world is facing a range of especially difficult energy problems, which have become even more difficult in recent years, as a result of the rapid increase in energy consumption
To extract the maximum power, we propose a new approach based on two blocks: artificial neural networks and Incremental Conductance
We proposed a new maximum power point tracking approach for a wind power system to improve the efficiency of the wind power system by tracking the MPP, through the boost converter control
Summary
The world is facing a range of especially difficult energy problems, which have become even more difficult in recent years, as a result of the rapid increase in energy consumption. By maintaining the best stable voltage across the load, MPPT control algorithms may be used to obtain the maximum power from available wind. This paper presents a novel method for determining the maximum power point for a wind energy conversion system. We present a new MPPT that is primarily based on the incremental conductance approach (INC) and Artificial Neural Networks (ANN), allowing us to extract the maximum power from the wind turbine. The concept is to employ an ANN to determine the maximum voltage of the WT using various wind speed values, while a DC-DC boost converter will be controlled by an incremental conductance.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
