PARAMETER EXTRACTION OF PV CELL SINGLE DIODE MODEL USING ANIMAL MIGRATION OPTIMIZATION

Authors

  • Intan Syazleen Amir Ridhor Universiti Malaysia Perlis
  • Zainuddin Mat Isa Universiti Malaysia Perlis
  • Norkharziana Mohd Nayan Universiti Malaysia Perlis

Keywords:

Animal Migration Optimization (AMO), Parameter Extraction, PV Cell, Single Diode Model (SDM)

Abstract

Photovoltaic cell model is designed to induce nonlinear current versus voltage (I-V) curves. Due to its nonlinearity, the model parameters cannot be obtained by the use of standard measurement tools. As a consequence, the optimization procedure usually carried out to accomplish this aim. Among many PV cell models, the single diode model (SDM), consisting of a single diode with shunt and series resistance, has become a common simulation option. There are five parameters to be extracted in this model. These are photo-generated current, diode saturation current, series resistance, shunt resistance and diode ideality factor. In this paper, the Animal Migration Optimization (AMO) algorithm has been proposed to extract these parameters. Standard measurement data from the R.T.C France silicon cell is taken as a test bench. The results of AMO contrast with the state-of-the-art algorithm for further verification. As a conclusion, the AMO produced quick, reliable and accurate results. However, further improvement of the exploitation capability is required in order to achieve outstanding performance.

Author Biographies

Intan Syazleen Amir Ridhor, Universiti Malaysia Perlis

School of Electrical System Engineering

Zainuddin Mat Isa, Universiti Malaysia Perlis

Senior Lecturer

School of Electrical System Engineering

Norkharziana Mohd Nayan, Universiti Malaysia Perlis

Senior Lecturer

School of Electrical System Engineering

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Published

2020-12-22

How to Cite

Amir Ridhor, I. S., Mat Isa, Z., & Mohd Nayan, N. (2020). PARAMETER EXTRACTION OF PV CELL SINGLE DIODE MODEL USING ANIMAL MIGRATION OPTIMIZATION. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 3(2), 1–6. Retrieved from https://ijeeas.utem.edu.my/ijeeas/article/view/5853