Open AccessIntelligent PSO-Fuzzy MPPT approach for Stand Alone PV System under Real Outdoor Weather Conditions
Author(s) -
Layachi Zaghba,
Messaouda Khennane,
Abdelhalim Borni,
Amor Fezzani
Publication year - 2021
Publication title -
algerian journal of renewable energy and sustainable development
Language(s) - English
Resource type - Journals
ISSN - 2710-849X
DOI - 10.46657/ajresd.2021.3.1.1
Subject(s) - maximum power point tracking , photovoltaic system , particle swarm optimization , fuzzy logic , matlab , computer science , control theory (sociology) , convergence (economics) , maximum power principle , fuzzy control system , engineering , control (management) , voltage , artificial intelligence , algorithm , electrical engineering , inverter , economic growth , economics , operating system
This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method can quickly convergence to the MPP, higher efficiency and low oscillation during different situations of climatic conditions.