Open AccessParticle Swarm Optimization Technique for Photovoltaic System
Author(s) -
Md Fahim Ansari,
Padmanabh Thakur,
Parvesh Saini
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e5774.018520
Subject(s) - particle swarm optimization , maximum power principle , photovoltaic system , power (physics) , renewable energy , dependency (uml) , mathematical optimization , maximum power point tracking , computer science , control theory (sociology) , engineering , mathematics , physics , electrical engineering , thermodynamics , artificial intelligence , control (management) , inverter
Day by day the dependency on renewable energy uses has been increasing because of no greenhouse emission and abundant in nature available freely, this paper, presents a comparative analysis of an optimization technique called Particle Swarm Optimization (PSO) along with Perturb & Observe (P&O) for the extraction of maximum power from the PV panel. The performances of P&O and PSO techniques were compared for different insolations and temperatures. A detailed and rigorous mathematical model along with simulation results and its performance for maximum power extraction from the panel were analyzed by using P&O and PSO. It has been observed that the maximum power obtained from PSO model is more than the maximum power obtained from P&O for different insolations and temperatures. Thus PSO is much better and more suitable for extracting maximum power from PV system.