Title: Smart plant propagation algorithm for the improvement of self-excited induction generator performance

Authors: Swati Paliwal; Sanjay Kumar Sinha; Yogesh Kumar Chauhan

Addresses: Department of Electrical and Electronics Engineering, Amity University, Noida, Uttar Pradesh, India ' Department of Electrical and Electronics Engineering, Amity University, Noida, Uttar Pradesh, India ' Department of Electrical Engineering, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India

Abstract: India has taken effective initiatives to generate a massive amount of electrical power from wind energy. In order to strengthen the development of offshore wind power, self-excited induction generators (SEIG) have proven to be the best choice. But the global acceptance of this machine depends on its improved voltage and frequency regulation. Therefore, this work investigates the performance of SEIG in short and long shunt configurations under different loading conditions and at different power factors. This paper employs one of nature's most unique and inspired techniques, Plant Propagation Algorithm (PPA), to improve machine performance in terms of flux or voltage. The PPA is based on the propagation strategy of the strawberry plant, which has the potential to colonise new areas in pursuit of better survival chances. From simulated results, it has been observed that the short shunt configuration requires lower shunt and series capacitance in order to improve SEIG performance.

Keywords: self-excited induction generator; plant propagation algorithm; Newton Raphson method; loading conditions; simulated annealing; wind energy conversion system; machine flux or voltage.

DOI: 10.1504/IJGEI.2024.135250

International Journal of Global Energy Issues, 2024 Vol.46 No.1/2, pp.137 - 156

Received: 13 Apr 2022
Accepted: 21 Nov 2022
Published online: 03 Dec 2023 *

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