Modellingof Organic Photovoltaic Cells Based on an Improved Reverse Double Diode Model

Dhanup S. Pillai, Bidyutprava Sahoo, J. Prasanth Ram, Antonino Laudani, N. Rajasekar*, N. Sudhakar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

14 Citations (Scopus)

Abstract

Organic PV cells have gained tremendous attention in recent years for its advantage of having tailored molecular properties and economic manufacturing process. Along with the rigorous and rapid researchesprogressing in the field of organic photovoltaic cells, accurate modelling of organic PV cells has gained extreme importance. Hence in this paper, modelling of organic solar photovoltaic cells based on an improved reverse double diode model is presented. Apart from all other complex mathematical models available in literature, the modelling is performed by introducing simple circuit equations. Furthermore, the model is highly capable of realizing the ideal and non-ideal current-voltage characteristics of an organic PV cell. The eight unknown parameters of the model are extracted using Genetic Algorithm(GA) and the extracted parameters are used to predict the I-V characteristics of a nav-100 organic solar cell. The main aim of this paper is to study the behaviour of organic solar cells and to realize an accurate PV model to replicate the exact I-V characteristics.

Original languageEnglish
Pages (from-to)1054-1061
Number of pages8
JournalEnergy Procedia
Volume117
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event1st International Conference on Power Engineering Computing and CONtrol, PECCON 2017 - Chennai, Tamil Nadu, India
Duration: 2 Mar 20174 Mar 2017

Keywords

  • Genetic Algorithm
  • Organic Solar PV cell
  • PV modelling

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