A parameter extraction technique exploiting intrinsic properties of solar cells

By N. Tong, Wanchalerm Pora. 2016

222 citations recorded by the source corpus.

This paper presents a parameter extraction technique for the five-parameter solar-cell model. It only requires the priori knowledge of three load points: the open circuit, the short circuit, and the maximum power points. An intrinsic property of solar cells helps to construct an extra equation. A cost function is formulated with another intrinsic property. A search algorithm for minimizing the cost function is proposed. The best set of parameters is revealed at the end of searching. Two load scanning experiments are performed on two different solar panels. The simulated I–V curves, produced with the obtained parameters, match the empirical measured results nicely. When compared to other existing techniques, our proposed method usually yields less mean absolute error.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/30a2e55ee4fe12649043830de7f6f5dd1b3a778a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Utkarsh Jadli
2. R. Shukla
3. Padmanabh Thakur

In Renewable Energy, Sustainability and the Environment

1. Utkarsh Jadli
2. R. Shukla
3. Padmanabh Thakur

Citations in the corpus

• A New Parameter Estimation Method of Solar Photovoltaic (2018, methodology): “Proposed, SA, NR, and search algorithm methods [18] are applied on these datasets and results obtained are summarized in Table II.”