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Sunday 4 January 2015

Simulation and Analysis of Perturb and Observe MPPT Algorithm for PV Array Using ĊUK Converter

Simulation and Analysis of Perturb and Observe MPPT
Algorithm for PV Array Using ĊUK Converter


ABSTRACT:

This paper presents the comparative analysis between constant duty cycle and Perturb & Observe (P&O) algorithm for extracting the power from Photovoltaic Array (PVA). Because of nonlinear characteristics of PV cell, the maximum power can be extract under particular voltage condition. Therefore, Maximum Power Point Tracking (MPPT) algorithms are used in PVA to maximize the output power. In this paper the MPPT algorithm is implemented using Ćuk converter. The dynamics of PVA is simulated at different solar irradiance and cell temperature. The P&O MPPT technique is a direct control method enables ease to implement and less complexity.

KEYWORDS

1.      Photovoltaic Array (PVA)
2.       MPPT
3.       ĆUK Converter

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:





Fig. 1: Block Diagram of MPPT Using PI Controller


Fig. 2: Block Diagram of Direct Duty Cycle (δ) Control MPPT

EXPECTED SIMULATION RESULTS:



Fig. 3: MATLAB/SIMULINK Model of PVCC for δ =0.6




Fig. 4: Output Power Curve of the PV Module and Ćuk Converter for Constant δ = 0.6 and Different β.



Fig. 5: Output Power Curve of the PV Module and Ćuk Converter for Constant δ = 0.6 and Different T




Fig. 6: MATLAB/SIMULINK Model of PVCC Using P & O Algorithm





Fig. 7: Output Power Curve of the PV Module and Ćuk Converter for Different β and P&O MPPT



Fig. 8: Output Power Curve of the PV Module and Ćuk Converter for Different T and P & O MPPT.

CONCLUSION:

In this paper, P&O and constant duty cycle algorithm of MPPT is implemented using ĆUK converter. The model is simulated with MATLAB/SIMULINK. It is shown that PV system output power increases with rise in solar irradiance and fall in cell temperature. Therefore, solar cell performance better in winter season than summer. The P&O gives the optimum duty cycle as compare to Constant duty cycle control, to extract the maximum power from PV system.

REFERENCES:

[1] Ali Chermitti, Omar Boukli-Hacene and Samir Mouhadjer (2012) “Design of a Library of Components for Autonomous Photovoltaic System under Matlab/Simulink”, International Journal of Computer Applications (0975 – 8887), Volume 53– No.14.
[2] Ankur Bhattacharjee (2012) “Design and Comparative Study of Three Photovoltaic Battery Charge Control Algorithms in MATLAB/SIMULINK Environment”, International Journal of Advanced Computer Research (ISSN (print): 2249-7277 ISSN (online): 2277-7970), Volume-2 Number-3 Issue-5.
[3] Athimulam Kalirasu and Subharensu Sekar Dash (2010) “Simulation of Closed Loop Controlled Boost Converter for Solar Installation,” SERBIAN JOURNAL OF ELECTRICAL ENGINEERING, Vol. 7, No. 1.
[4] Azadeh Safari and Saad Mekhilef (2011) “Simulation and Hardware Implementation of Incremental Conductance MPPT with Direct Control Method Using Cuk Converter”, IEEE Transaction on Industrial Electronics, Vol.58, no.4.

[5] E. Durán, M.B. Ferrera, J.M. Andújar, M.S. Mesa (2011) “I-V and P-V Curves Measuring System for PV Modules based on DC-DC Converters and Portable Graphical Environment” IEEE, 978-1-4244.