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Analysis of Grid Connected PV System Using Luo Converter With MPPT for Fast Dynamic Response using Artificial Bee Colony Algorithm

K. Durgadevi*, R. Karthik**, N. Sujith***

*-*** Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Chennai, Tamilnadu, India.

Periodicity:May - July'2019
DOI : https://doi.org/10.26634/jps.7.2.16727

Abstract

The main aim of this paper is to obtain maximum power from the solar panel by introducing a fuzzy logic controller with Luo converter and implementing the same with Artificial Bee Colony (ABC) algorithm for tuning the controller. Two solar modules are proposed in series namely, uniform solar illumination and partial shading model. Luo converter modifies the results of solar panels, which is captured from a digital signal processor with the criteria such as load impedance and the characteristics of the solar panel. This study incorporates a power supply with the ultimate short circuit current of 5 A and largest open circuit voltage of 60 V. The given load is varied repeatedly in order to visualize the VI curve and check the viability of the power source. The efficiency of the Photovoltaic (PV) system is improved with the help of Maximum Power Point Tracking (MPPT). A comparative study on fuzzy logic based MPPT algorithm and ABC algorithm for solar system is conducted and the performance characteristics of these two methods are simulated and analyzed in MATLAB / Simulink. The ABC based control technique gives advantage of low settling time, high percentage overshoot and high gain for different values of load.

Keywords

Maximum Power Point Tracking, Fuzzy Logic, Artificial Bee Colony Algorithm, Luo Converter.

How to Cite this Article?

Durgadevi, K., Karthik, R., and Sujith, N. (2019). Analysis of Grid Connected PV System Using Luo Converter With MPPT for Fast Dynamic Response using Artificial Bee Colony Algorithm. i-manager’s Journal on Power Systems Engineering, 7(2), 11-17. https://doi.org/10.26634/jps.7.2.16727

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