Abstract
This paper presents an innovative method of determining the value of the optimum wind power employed to design a sensorless Maximum Power Point Tracking (MPPT) algorithm of a wind conversion chain with a Permanent Magnet Synchronous Generator (PMSG) using two estimators: the Extended Kalman Filter (EKF) to estimate rotation speed and the extremum seeking to estimate the coefficient including turbine parameters. The model of Wind Energy Conversion System (WECS) consists of a wind turbine, two-mass drive train, PMSG, and power converter supplying a DC load. The proposed method based on sensorless wind speed, air density and turbine parameters, generates the outputs to be used in the Field Oriented Control (FOC) requiring implementation of an active rectifier and also in the MPPT block. At first, we show the advantage of using a FOC of the PMSG. Then we describe the EKF and the extremum seeking method. Simulations on Matlab-Simulink can be found at the end of the paper, confirming the performance of the proposed approach.
Sign-in/Register to access full text options 
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.
