Title: Intelligent MPPT for photovoltaic panels on grid-connected inverter system using hybrid meta-heuristic algorithm

Authors: N.P. Sebi

Addresses: Electrical and Electronics Engineering Department, Thiagarajar Polytechnic College, Alagappanagar, India

Abstract: This research work presents a novel hybrid meta-heuristic algorithm-based MPPT controller for efficiently tracking the maximum power under all weather conditions. The experimentation was conducted with the connection of direct current (DC) to alternating current (AC) single-phase full bridge inverter and optimised fractional order proportional integral derivative (FoPID) controller. The integrated algorithm named crow electric fish search optimisation (CEFSO) is utilised for optimising the global maximum power point (GMPP) of the MPPT. The major scope of optimising this constraint is to attain higher energy from the PV system. The proposed CEFSO-MPPT shows superior efficiency regarding faster convergence at the GMPP and MPPT. The suggested MPPT technique has shown its performance concerning higher efficiency, lower computational burden, and faster MPP tracking while analysing the existing models.

Keywords: photovoltaic panels on grid-connected inverter system; DC-AC single-phase full-bridge inverter; maximum power point tracking; MPPT; optimised fractional proportional integral derivative controller; crow electric fish search optimisation; CEFSO.

DOI: 10.1504/IJBIC.2024.139258

International Journal of Bio-Inspired Computation, 2024 Vol.23 No.4, pp.245 - 256

Accepted: 10 Aug 2023
Published online: 28 Jun 2024 *

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