Adaptive Fractional Order PID Controller Based MPPT for PV Connected Grid System Under Changing Weather Conditions

Ali Nasir, Imran Rasool*, Daud Sibtain, Raheel Kamran

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This paper is presenting an Adaptive Fractional Order PID (AFOPID) controller for PV connected grid system. The proposed controller is designed to harvest maximum power from the PV source. AFOPID controller contain the property of conventional PID controller, where the controller contains an adaptive property to optimize gain parameter on the basis of generator and grid side parameter in view. In the suggested work, the AFOPID controller imparted with the characteristic to get tune with particle swarm optimization to track maximum power point tracking, dc link voltage, and current control and quadrature axis modeling. Furthermore, the current control functionalities are performed through an AFOPID, where the controlling parameters are updated by measured error at every instant. The aim of this research is to attain maximum power from the PV source under varying weather conditions with minimum total harmonic distortion, which validate the performance of the proposed controller. The proposed work is compared with, FOPID, FLC, PI, GA and ACO tune FOPID controllers.

Original languageEnglish
Pages (from-to)2599-2610
Number of pages12
JournalJournal of Electrical Engineering and Technology
Volume16
Issue number5
DOIs
StatePublished - Sep 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, The Korean Institute of Electrical Engineers.

Keywords

  • Adaptive fractional PID control
  • Fuzzy logic control
  • Maximum power point tracking
  • Particle swarm optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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