Abstract

This study deals with analysis of grid integrated Switched Reluctance Generator (SRG) based wind farm control using Modified Hybrid Multicell Converter (MHMC). A Finite Element Analysis (FEA) model is developed for the existing machine geometry using MagNet 7.1.1 and solved to obtain the parameters like flux linkage, inductance and torque. The data obtained from FEA Model is utilized to develop model of SRG in the MATLAB/SIMULINK environment. Asymmetric Half Bridge Converter (AHBC) with dedicative buses for source and load is used for excitation. Developed wind turbine with Maximum Power Point Tracking (MPPT) algorithm to extract maximum power from the wind turbine. Output of the SRG is integrated with grid through Modified Hybrid Multicell Converter. The MHMC uses a flying capacitor module on each cell to generate a positive variable dc-link voltage. The variable dc link is inverted at fundamental switching frequency by an H-bridge to generate the cell output voltage. Phase-Disposition level-shifted Pulse Width Modulation (PD-PWM) Technique is used to obtain the high performance waveforms. In this study wind farm having four SRG’S controlled through MHMC is proposed.

Highlights

  • A Switched Reluctance Generator (SRG) is very simple in construction associated with the absence of permanent magnets or windings in the rotor, which results in lower manufacturing costs and makes it suitable for variable speed applications, Boldea (2006)

  • This work is studied to develop Switched Reluctance Generator drive model using library components and data obtained from Finite Element Analysis (FEA) model

  • Asymmetric Half Bridge Converter with dedicative buses for source and load is used to avoid absorbing more current from the source

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Summary

Introduction

A Switched Reluctance Generator (SRG) is very simple in construction associated with the absence of permanent magnets or windings in the rotor, which results in lower manufacturing costs and makes it suitable for variable speed applications, Boldea (2006). Operating variables are identified from this paper and it is used to control the grid-connected SRG based wind energy conversion system.

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