Title: MPPT optimisation techniques and power electronics for renewable energy systems: wind and solar energy systems

Authors: Abrar Ahmed Chhipa; Shripati Vyas; Vinod Kumar; R.R. Joshi

Addresses: Department of Electrical Engineering, College of Technology and Engineering (MPUAT), Udaipur – 313001, Rajasthan, India ' Department of Electrical Engineering, College of Technology and Engineering (MPUAT), Udaipur – 313001, Rajasthan, India ' Department of Electrical Engineering, College of Technology and Engineering (MPUAT), Udaipur – 313001, Rajasthan, India ' Department of Electrical Engineering, College of Technology and Engineering (MPUAT), Udaipur – 313001, Rajasthan, India

Abstract: This study proposes the challenges faced by the present renewable energy scenario and the contribution of power electronics and maximum power point tracking (MPPT) optimisation techniques. India is one of the leading energy harvester country in the world. Power electronics keep power system operation stable, harvest electric power from renewable energy sources (RESs), and reduce energy consumption. This study has focused on power electronics and MPPT optimisation techniques for wind energy and photovoltaic energy and points out some aspects related to configuration for integration, energy storage technologies, reliability, and grid connection. Apart from this, modern optimisation techniques for MPPT control using artificial intelligence like fuzzy control and neural network control are also presented in this study.

Keywords: energy optimisation; optimisation techniques; renewable energy; wind energy; solar energy; energy storage; maximum power point tracking; MPPT; wind MPPT; solar MPPT; power electronics; artificial intelligence; fuzzy logic; neural network.

DOI: 10.1504/IJSI.2022.123092

International Journal of Swarm Intelligence, 2022 Vol.7 No.2, pp.141 - 167

Received: 01 Oct 2020
Accepted: 29 Jul 2021
Published online: 26 May 2022 *

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