Improvement of Power Output of PV based Microgrid System Using Fuzzy Logic Controller

Authors

  • Prakash Bahrani Ph.D. Scholar, Department of Electrical Engineering, College of Technology and Engineering, Udaipur, India
  • Naveen Jain Assistant Professor, Department of Electrical Engineering, College of Technology and Engineering, Udaipur, India

Keywords:

Fuzzy logic control, Maximum power point tracking, Photovoltaic, Perturb and observation

Abstract

Solar PV system has become the popular choice amongst Renewable Energy Sources (RES). With intermittent nature of solar insolation, the output of PV sys-tem is dynamic in behavior and the output is not remains constant at all time. Various Maximum Power Point (MPPT) techniques are proposed for making the output of PV system desirable at load side. Fuzzy Logic Control (FLC) system is one of the fast and reliable method to provide solutions of nonlinear problems. In the present paper we have compared two different methods of MPPT controller for buck boost type converter for DC load. The simulation model is developed in MATLAB environment and the results shows that FLC based controller has out-performed the P&O based controller.

Downloads

Download data is not yet available.

Downloads

Published

11-07-2021

Issue

Vol. 4 No. 7 (2021)

Section

Articles

License

Copyright (c) 2021 Prakash Bahrani, Naveen Jain

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. Bahrani and N. Jain, “Improvement of Power Output of PV based Microgrid System Using Fuzzy Logic Controller”, IJRESM, vol. 4, no. 7, pp. 90–93, Jul. 2021, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/975