Abstract
In this paper modelling and analysis in autonomous mode of dual three-phase induction generator (DTPIG) with a new algorithm have been done. We develop the steady state model of a dual three-phase self-excited induction generator for stand-alone renewable generation dispensing with the segregating real and imaginary components of the complex impedance of the induction generator. The obtained admittance yields the adequate magnetizing reactance and the frequency. These two key parameters are then used to compute the self-excitation process requirements in terms of the prime mover speed, the capacitance and the load impedance on the one hand and to predict the generator steady state performance parameters on the other. Steady state performances and characteristics of different configurations are clearly examined and compared. The analytical results are found to be in good agreement with experimental results.
Highlights
The power rating of an ac drive system can be increased by using multi-phase drives system which has more than three phases in the stator of the machine
Electric power systems have largely developed as three-phase systems, high phase order machine construction and power transmission have been considered for last several years
The generated terminal voltage and the output frequency depend on the excitation capacitance, the dual three-phase induction generator parameters, the electrical passive load and the prime mover speed
Summary
The power rating of an ac drive system can be increased by using multi-phase drives system which has more than three phases in the stator of the machine. Multi-phase drives system possesses several advantages over conventional three-phase drives, such as reducing the amplitude and increasing the frequency of the torque pulsation, reducing the rotor harmonic currents, reducing the current per phase without increasing the voltage per phase, lowering the dc-link current harmonics, power segmentation and high reliability [1]-[5]. For this reason, How to cite this paper: Khlifi, M.A. and Alshammari, B.M.
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