Particle Swarm Optimization Technique for Photovoltaic System | Zendy

Md Fahim Ansari | Zendy; Padmanabh Thakur | Zendy; Parvesh Saini | Zendy

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Particle 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 (ijrte)

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 , renewable energy , power (physics) , mathematical optimization , computer science , engineering , mathematics , physics , electrical engineering , thermodynamics

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.

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