Modeling of Multi Junction Solar Cell and MPPT Methods

Multi Junction solar cells  (MJSC) have gotten high attention in the concentrated PV systems because of its superior performance and high efficiency. MJSC have increased the concentration capacity of solar panels with a level greater than ever before. Compared to conventional silicon photovoltaic cell, MJSC have augmented 39.5% efficiency under similar atmospheric conditions. In this research work, two tasks have been performed, one is modeling and simulation of single, double and triple junction solar cell and the second one is modeling of MPPT methods. Graphical Results of MJSC modeling show approximately three times increase in power with using triple junction solar cell compared to conventional single junction solar cell. Constant voltage and perturb & observe maximum power point tracking (MPPT) techniques, that automatically adjust the switch duty cycle of converter are presented. Very simple and inexpensive analog PWM controllers are employed to continuously track the maximum power point of solar cell as the irradiance changes. The switch duty cycle is formed such that it automatically adjusts itself to produce maximum power as solar cell voltage changes. LTspice simulations are presented to demonstrate the effectiveness of proposed MPPT algorithms. Perturb & Observe method has a fast response, it takes 0.05s and gives smooth output initially. Constant voltage method takes 0.08s for simulation and it gives huge output initially. So perturb and observe method doubles the efficiency.

1. Rabia Bibi: USPCAS-E University of Engineering and Technology, Peshawar
2. Asfandyar Ali: USPCAS-E University of Engineering and Technology, Peshawar
3. Tanvir Ahmad: USPCAS-E University of Engineering and Technology, Peshawar

Rabia Bibi Asfandyar Ali and Tanvir Ahmad, "Modeling of Multi Junction Solar Cell and MPPT Methods", International Journal of Engineering Works, Vol. 6 Issue 01 PP. 6-11 January 2019.

1. [1]     Kaundinya, D.P., P. Balachandra, and N. Ravindranath, “Grid-connected versus stand-alone energy systems for decentralized power A review of literature”. Renewable and Sustainable Energy Reviews, p. 2041-2050, 2009. 13(8):

2. [2]     Sawin, J.L., et al., “Renewables 2017 Global Status Report”, 2013.

3. [3]     Rezk, H. and A.M. Eltamaly, “A comprehensive comparison of different MPPT techniques for photovoltaic systems”, Solar energy, 112: p. 1-11,2015.

4. [4]     Femia, N., et al., “Optimization of perturb and observe maximum power point tracking method”, IEEE transactions on power electronics, 20(4): p. 963-973, 2005.

5. [5]     H. Rezk and E.S. Hasaneen, “A new matlab/simulink model of triple-junction solar cell and mppt based on artificial neural networks for photovoltaic energy systems,” Ain Shams Engineering Journal, vol. 6, no. 3, pp. 873–881, 2015.

6. [6]     Liu, B., et al. “Analysis and improvement of maximum power point tracking algorithm based on incremental conductance method for photovoltaic array”, Power Electronics and Drive Systems, PEDS07. 7th International Conference on. 2007. IEEE,2007.

7. [7]     Mohamed A. El-Sayed, Steven Leeb, “Evaluation of maximum power point tracking algorithms for photovoltaic electricity generation in Kuwait”, international conference on renewable energies and power quality (icrepq14), April 2014.

8. [8]     A. M. Atallah, A. Y. Abdelaziz, and     R. S. Jumaah, “Implementation of perturb and observe mppt of pv system with direct control method using buck and buckboost converters,” Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal (EEIEJ), vol. 1, no. 1, pp. 31–44, 2014.

9. [9]     Kennedy A. Aganah, Aleck W. Leedy, “A  Constant Voltage Maximum Power Point Tracking Method for Solar Powered Systems”, March 2011.

10. [10]  Bibi Rabia, “ Design of multi junction solar cell MPPT controller in LTspice”, MS thesis.