Bulletin of Electrical Engineering and Informatics Vol. 13, No. 2, April 2024, pp. 853∼864 ISSN: 2302-9285, DOI: 10.11591/eei.v13i2.5660 ❒ 853 An enhanced control scheme for multifunctional grid connected PV system using fuzzy and predictive direct power control Boualem Boukezata 1,2 , Abdelmadjid Chaoui 2 , Jean Paul Gaubert 3 , Oussama Boutalbi 4 1 Department of Electronic, Faculty of Science and Technology, University Mohamed Elbachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria 2 Laboratory of Power Quality in Electrical Networks (QUERE), Department of Electrical Engineering, Faculty of Technology, University of Ferhat Abbas Setif 1, Setif, Algeria 3 Laboratory of Electrical Engineering and Automatic Control for Systems (LIAS), ENSIP, University of Poitiers, Poitiers, France 4 Intelligent Systems Laboratory, Department of Electronic, Faculty of Technology, University of Ferhat Abbas Setif 1, Setif, Algeria Article Info Article history: Received Dec 31, 2022 Revised Sep 11, 2023 Accepted Oct 16, 2023 Keywords: Fuzzy logic control controller Grid Maximum power point tracking Predictive direct power control Photovoltaic system ABSTRACT This paper presents a combination between a fuzzy logic control (FLC) and a predictive direct power control for multifunctional grid connected photovoltaic (PV) system, to solve the oscillation problem in the DC link voltage of the in- verter caused by the fast irradiation changing. The whole system consists of a PV system which interface a DC-AC inverter, a FLC maximum power point tracking (MPPT) algorithm has been adopted to operate the DC-DC converter at the MPP. The predictive control strategy is applied to the DC-AC inverter with FLC in its voltage control loop to improve the power exchange between the grid and the PV system. Simulation results have been verified through MATLAB/Simulink soft- ware for the purpose of giving the effectiveness of the suggested control against existed controllers. This is an open access article under the CC BY-SA license. Corresponding Author: Boualem Boukezata Department of Electronic, Faculty of Science and Technology University Mohamed Elbachir El Ibrahimi of Bordj Bou Arreridj Bordj Bou Arreridj, Algeria Email: boualem.boukezata@univ-bba.dz 1. INTRODUCTION Recently, with the rapid depletion of traditional sources of energy, renewable energy source has be- come the mainstream of industrial applications [1]. Among them, solar energy is the most promising one and has usually been in the best location to reduce the fossil fuel dependence in the energy industry [2], [3]. Par- ticularly, photovoltaic (PV) power generation, is conducting to a fast growing integration of renewable energy sources as a distributed generation (DG) system into the utility grid. However, a large scale penetration of these sources poses serious problems, as it can threat the power system’s stability and reliability [4]-[6]. Meanwhile, the main challenge of theses systems is the extraction of the maximum power of the PV system through max- imum power point tracking (MPPT)s algorithms, as well as, the power quality injected to the grid, which is in direct relation with power converter and its control strategy [7], [8]. Therefore, the performance of theses systems is highly dependent on the choice of the power converter and the appropriate control technique [9]. The DC link capacitor voltage of the distributed DC-AC inverter should be controlled through a robust con- Journal homepage: http://beei.org