Parameter extraction for dynamic PV thermal model using particle swarm optimisation

Abhay Chopde

doi:10.1016/j.applthermaleng.2016.01.164

Parameter extraction for dynamic PV thermal model using particle swarm optimisation

2016-05-01

27

PRE

AI

DOI：10.1016/j.applthermaleng.2016.01.164

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A dynamic thermal model for a photovoltaic (PV) module has been developed, considering all possible mechanisms of heat transfer between the module and its environment. The particle swarm optimisation (PSO) technique is applied for extraction of model parameters from experimental data. The model is then used to predict the PV module temperature variation with time on different days of the year. It is shown that the predicted temperature tracks the experimentally measured temperature very closely for a variety of atmospheric conditions at the location of installation. (C) 2016 Elsevier Ltd. All rights reserved.

Keyword:

PV module dynamic thermal model

Particle swarm optimisation (PSO)

Parameter extraction

Parameter extraction for dynamic PV thermal model using particle swarm optimisation

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