The wind energy is free, inexhaustible and it produces no waste or greenhouse gases. Furthermore, it is a good method of supplying energy to remote areas. With growing application of wind energy conversion systems (WECSs), various technologies are developed for them. Squirrel cage induction motors are the most commonly used electrical machine in AC drives. In this paper, a new wind energy conve...

The purpose of this paper is to show the working limits of a Variable Speed Wind Turbine. The system is based on a Doubly-Fed Induction Generator and a Fixed-Pitch Wind Turbine. The machine rotor is connected to the network through an AC/AC Converter in order to allow energy recovery. Thermal, mechanical and electric limits are investigated. The study of the machine is based on a steady state m...

This paper deals with the application of a new neuron, the TLS EXIN neuron, to AC induction motor drives. In particular, it addresses two important subjects of AC induction motor drives: the on-line estimation of the electrical parameters of the machine and the speed estimation in sensorless drives. On this basis, this work summarizes the parameter estimation and sensorless techniques already d...

This paper presents an improved method of estimating flux angle, rotor position, and velocity by tracking the position of spatial saliencies in an ac machine. Specifically, a machine model is presented which accurately models the behavior of ac machines with multiple spatial harmonic saliencies. The effects of multiple spatial harmonic saliencies on the estimation of flux angle, position, and v...

We developed an accurate, efficient and flexible modeling method for the steady-state and transient analysis of grid-connected superconducting synchronous machines. On the one hand, the machine flux linkages and electromagnetic torque as function of operational parameters are obtained from static finite element analysis and stored in lookup tables. On the other hand, the machine is represented ...

An intelligent strategy for the protection of AC microgrids is presented in this paper. This method was halving to an initial signal processing step and a machine learning-based forecasting step. The initial stage investigates currents and voltages with a window-based approach based on the dynamic decomposition method (DDM) and then involves the norms of the signals to the resultant DDM data. T...

The work presented in this paper proposes an approach to reduce the common mode voltage at the output of matrix converters when a direct torque control scheme is employed to drive a permanent magnet synchronous motor. A mathematical analysis of the common mode voltage at the output of matrix converters is firstly carried out which is then corroborated by simulation results. Based on this analys...