Title: P&O-PI and fuzzy-PI MPPT Controllers and their time domain optimization using PSO and GA for grid-connected photovoltaic system: a comparative study

Authors: Abdelhalim Borni; Noureddine Bouarroudj; Abdelhak Bouchakour; Layachi Zaghba

Addresses: Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, Ghardaïa 47133, Algeria ' Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, Ghardaïa 47133, Algeria ' Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, Ghardaïa 47133, Algeria ' Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, Ghardaïa 47133, Algeria

Abstract: In this paper, control strategies are proposed for photovoltaic system connected to the grid. The solar panel is connected to DC link through power converters. Control methods of perturb and observe (P&O)-proportional integral (PI), fuzzy logic-PI, and optimisation of these controllers using particle swarm optimisation (PSO) and genetic algorithm (GA) for MPPT control of photovoltaic generator (PV generator) are proposed, and a PI controller is used to maintain DC-link voltage constant under different conditions. Simulation results under different environmental and operating conditions are presented and discussed to verify the satisfactory performance of the proposed control strategies, in which the optimised fuzzy-PI controller by PSO algorithms gives the better performance specification regarding the other methods.

Keywords: fuzzy logic; genetic algorithm; grid; MPPT controllers; photovoltaic generator; PI regulator; PSO.

DOI: 10.1504/IJPELEC.2017.085199

International Journal of Power Electronics, 2017 Vol.8 No.4, pp.300 - 322

Received: 23 Oct 2016
Accepted: 02 Feb 2017

Published online: 16 Jul 2017 *

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