Photovoltaic model identification using particle swarm optimization with inverse barrier constraint
Soon, Jing Jun.
Date of Issue2012
School of Electrical and Electronic Engineering
The photovoltaic (PV) model is used in simulation studies to validate system design such as the maximum power point tracking algorithm and microgrid system. It is often difficult to simulate a PV module characteristic under different environmental conditions due to the limited information provided by the manufacturers. In this paper, a new approach using particle swarm optimization (PSO) with inverse barrier constraint is proposed to determine the unknown PV model parameters. The proposed method has been validated with three different PV technologies and the results show that the maximum mean modeling error at maximum power point is less than 0.02% for Pmp and 0.3% for Vmp.
DRNTU::Engineering::Electrical and electronic engineering
IEEE transactions on power electronics
© 2012 IEEE