An improved and simplified approach for the steady-state analysis of self-excited induction generators using binary search algorithm
ISSN: 0332-1649
Article publication date: 8 April 2024
Issue publication date: 30 May 2024
Abstract
Purpose
This paper aims at developing an improved method, based on binary search algorithm (BSA) for the steady-state analysis of self-excited induction generators (SEIGs), which are increasingly used in wind energy electric conversion systems. The BSA is also compared with linear search algorithm (LSA) to bring out the merits of BSA over LSA.
Design/methodology/approach
All the parameters of SEIG, including the varying core loss of the machine, have been considered to ensure accuracy in the predetermined performance values of the set up. The nodal admittance method has been adopted to simplify the equivalent circuit of the generator and load. The logic and steps involved in the formulation of the complete procedure have been illustrated using elaborate flowcharts.
Findings
The proposed approach is validated by the experimental results, obtained on a three-phase 240 V, 5.0 A, 2.0 kW SEIG, which closely match with the corresponding predicted performance values. The analysis is shown to be easy to implement with reduced computation time.
Originality/value
A novel improved and simplified technique has been formulated for estimating the per unit frequency (a), magnetizing reactance (Xm) and core loss resistance (Rm) of the SEIG using the nodal admittance of its equivalent circuit. The accuracy of the predetermined performance is enhanced by considering the SEIG’s varying core loss. Only simple MATLAB programming has been used for adopting the algorithms.
Keywords
Acknowledgements
The authors wish to thank Dr M. Subbiah, Emeritus Professor, Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Chennai, for his valuable suggestions in the preparation of this paper.
Citation
R., E.R. and Sridhar, S. (2024), "An improved and simplified approach for the steady-state analysis of self-excited induction generators using binary search algorithm", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 43 No. 2, pp. 339-354. https://doi.org/10.1108/COMPEL-09-2023-0414
Publisher
:Emerald Publishing Limited
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