A new algorithm applied to the evaluation of self excited induction generator performance

Authors:
Aissa Kheldoun;Hamid Bentarzi;Larbi Refoufi
Affiliations:
Signals & Systems Laboratory, Institute of Electronics and Electrical Engineering, Boumerdes university, Algeria;Signals & Systems Laboratory, Institute of Electronics and Electrical Engineering, Boumerdes university, Algeria;Signals & Systems Laboratory, Institute of Electronics and Electrical Engineering, Boumerdes university, Algeria
Venue:
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Year:
2010

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Abstract

The paper presents the application of DIRECT algorithm to analyse the performances of the Self-excited induction generator. It is used to minimize the induction generator admittance yielding the solution which consists of the magnetizing reactance and the frequency. These parameters are the keys to find out the self excitation process requirements in terms of the prime mover speed, the capacitance and the load impedance and finally the output performances such as the voltage, output power, etc. A comparison with other powerful optimization algorithms is investigated to obtain DIRECT algorithm performances.