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.
Rabia Bibi: USPCAS-E University of Engineering and Technology, Peshawar
Aftab Ahmad:Pakistan Institute of Engineering and Applied Sciences
Asfandyar Ali: USPCAS-E University of Engineering and Technology, Peshawar
Juveria Anwar: USPCAS-E University of Engineering and Technology, Peshawar
Tanvir Ahmad:USPCAS-E University of Engineering and Technology, Peshawar
Rabia Bibi Aftab Ahmad Asfandyar Ali Juveria Anwar 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
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