Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

This paper presents modeling and simulation of a grid connected photovoltaic (PV) system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system composed of a PV array, boost converter with MPPT and a three phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed FLC for MPPT is evaluated by simulation and the results show that the FLC is faster and more stable in finding the maximum power point than the conventional perturbation and observation method. The performance of the PV system subjected to load variation and islanding is also investigated.

Original languageEnglish
Title of host publicationSCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development
Pages349-352
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE Student Conference on Research and Development, SCOReD2009 - Serdang
Duration: 16 Nov 200918 Nov 2009

Other

Other2009 IEEE Student Conference on Research and Development, SCOReD2009
CitySerdang
Period16/11/0918/11/09

Fingerprint

Fuzzy logic
Controllers
Insulated gate bipolar transistors (IGBT)
Switches

Keywords

  • Fuzzy logic
  • Grid-connected
  • MPPT
  • Photovoltaic

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Subiyanto, Mohamed, A., & M A, H. (2009). Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller. In SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development (pp. 349-352). [5443002] https://doi.org/10.1109/SCORED.2009.5443002

Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller. / Subiyanto, ; Mohamed, Azah; M A, Hannan.

SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development. 2009. p. 349-352 5443002.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Subiyanto, , Mohamed, A & M A, H 2009, Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller. in SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development., 5443002, pp. 349-352, 2009 IEEE Student Conference on Research and Development, SCOReD2009, Serdang, 16/11/09. https://doi.org/10.1109/SCORED.2009.5443002
Subiyanto , Mohamed A, M A H. Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller. In SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development. 2009. p. 349-352. 5443002 https://doi.org/10.1109/SCORED.2009.5443002
Subiyanto, ; Mohamed, Azah ; M A, Hannan. / Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller. SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development. 2009. pp. 349-352
@inproceedings{40443ca014144fddaa974ba22ec6cd66,
title = "Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller",
abstract = "This paper presents modeling and simulation of a grid connected photovoltaic (PV) system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system composed of a PV array, boost converter with MPPT and a three phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed FLC for MPPT is evaluated by simulation and the results show that the FLC is faster and more stable in finding the maximum power point than the conventional perturbation and observation method. The performance of the PV system subjected to load variation and islanding is also investigated.",
keywords = "Fuzzy logic, Grid-connected, MPPT, Photovoltaic",
author = "Subiyanto and Azah Mohamed and {M A}, Hannan",
year = "2009",
doi = "10.1109/SCORED.2009.5443002",
language = "English",
isbn = "9781424451876",
pages = "349--352",
booktitle = "SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development",

}

TY - GEN

T1 - Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller

AU - Subiyanto,

AU - Mohamed, Azah

AU - M A, Hannan

PY - 2009

Y1 - 2009

N2 - This paper presents modeling and simulation of a grid connected photovoltaic (PV) system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system composed of a PV array, boost converter with MPPT and a three phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed FLC for MPPT is evaluated by simulation and the results show that the FLC is faster and more stable in finding the maximum power point than the conventional perturbation and observation method. The performance of the PV system subjected to load variation and islanding is also investigated.

AB - This paper presents modeling and simulation of a grid connected photovoltaic (PV) system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system composed of a PV array, boost converter with MPPT and a three phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed FLC for MPPT is evaluated by simulation and the results show that the FLC is faster and more stable in finding the maximum power point than the conventional perturbation and observation method. The performance of the PV system subjected to load variation and islanding is also investigated.

KW - Fuzzy logic

KW - Grid-connected

KW - MPPT

KW - Photovoltaic

UR - http://www.scopus.com/inward/record.url?scp=77952598880&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952598880&partnerID=8YFLogxK

U2 - 10.1109/SCORED.2009.5443002

DO - 10.1109/SCORED.2009.5443002

M3 - Conference contribution

SN - 9781424451876

SP - 349

EP - 352

BT - SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development

ER -