A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller

• Published in: Energy procedia 2019-01, Vol.162, p.57-66
• Main Authors: Meddour, Sami, Rahem, Djamel, Cherif, Ali Yahia, Hachelfi, Walid, Hichem, Laib
• Format: Article
• Language: English
• Subjects: DC-DC BOOST Converter; Finite set model predictive controller; Maximum power point tracking; Metaheuristic algorithms; observe; Particle swarm optimization; Perturb
• ISSN: 1876-6102; 1876-6102
• DOI: 10.1016/j.egypro.2019.04.007

Since the ambient temperature and solar irradiance are not constant, and the P-V characteristic curve of a photovoltaic (PV) module is nonlinear, it is hard for a photovoltaic system to operate at the maximum power point (MPP). In fact, using a maximum power point tracking algorithm (MPPT) to reach the MPP is significant when the climatic conditions change during the day. This paper presents a novel approach for grid-connected PV systems based on a Practical Swarm Optimization (PSO) metaheuristic algorithm to ensure the MPPT functionality as well as generating the reference power for the DC-Bus voltage regulation. The proposed method is compared with the conventional MPPT method Perturb and Observe (P&O) under different irradiance variations. The three-phase, two-level voltage source inverter (VSI) is controlled by a finite set model predictive controller (FS-MPC). The simulation results show that the proposed system is more efficient than the conventional method and has good dynamic performances.