Manuscript Number : IJSRST173734

Implementation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems

Authors(2) :-Sarath Chandra Burugala, Dr. K. Jithendra Gowd

This paper proposes a New Particle swarm algorithm for improving the Optimization and performance of Maximum Power Point Tracking in PV System. The PSO technique has been applied for multi-junction solar cell system. The solar panels are made up of different type materials and give constant output from Boost converter. The main aim of PSO algorithm is to find out duty cycle to the Boost converter to maintain constant output voltage irrespective of power produced by solar panels. This proposed Particle Swarm Optimization (PSO) is also used to minimizing active power loss, voltage deviation and voltage stability index. A detailed simulation of the proposed method has been simulated in Matlab/Simulink. The simulation result shows that this design can be effectively realized in practical applications.

Authors and Affiliations

Sarath Chandra Burugala
Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India
Dr. K. Jithendra Gowd
Assistant Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India

Maximum Power Point Tracking (MPPT); Particle Swarm Optimization (PSO); Boost Converter.

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 165-171
Manuscript Number : IJSRST173734
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Sarath Chandra Burugala, Dr. K. Jithendra Gowd, " Implementation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 7, pp.165-171, September-October-2017.
Journal URL : http://ijsrst.com/IJSRST173734

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