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Paper title: FLOWER POLLINATION ALGORITHM BASED PERFORMANCE ANALYSIS OF SELF-EXCITED INDUCTION GENERATOR

Author(s): THANDAVAMURTHY ELANGO, AJITHAN SENTHILKUMAR,

Abstract:

This paper introduces the flower pollination algorithm (FPA) to perform the analysis of an induction generator in a self-excited mode for stand-alone wind energy conversion scheme. Performance analysis is important to forecast their behavior in real working situations of the generator. The analysis is carried out using loop impedance technique and it is solved by the graph theory methodology. FPA has been used to exploit out the equations to find the unknown quantities like magnetizing reactance, frequency and the operation of the self-excited induction generator (SEIG). MATLAB simulated results using proposed algorithm have been compared with experimental results. It is found that the simulated and experimental results confirm the strength of the technique adopted.

Keywords: Flower pollination algorithm, Graph theory, Performance analysis, Self-excited induction generator

Year: 2018 | Tome: 63 | Issue: 1 | Pp.: 27-32

Full text : PDF (390 KB)