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
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