Power quality enhancement in autonomous PV system using fuzzy logic controller

Ammar Hussein Mutlag; H. Shareef; A. Mohamed

doi:10.1109/PECON.2014.7062465

Power quality enhancement in autonomous PV system using fuzzy logic controller

Ammar Hussein Mutlag
, H. Shareef
, A. Mohamed

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This work imparts a control strategy for stand-alone photovoltaic (PV) system by means of fuzzy logic controller (FLC). The objective for this endeavor is to manage the power quality supplied from a PV system mainly in the course of load variation. The controller scheme is consist from voltage-frequency (Vf) control strategy based on a synchronous reference frame and the FLC. The FLC is an intelligent controller that is utilized to develop the power control parameters. To control the voltage, as well as the frequency of the three-phase voltage source inverter (VSI), seven gbell membership functions are implemented for the inputs as well as for the output. The results show that the controller was successful in delivering peak voltage of 339V. Furthermore, total harmonic distortion of the voltage waveform fulfilled the international standard, found to be 3.58%. The outcomes also indicated that the suggested controller have a superior response to fulfill the power quality requirements and show the robustness of the suggested control strategy.

Original language	English
Title of host publication	Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014
Editors	Mohd Izhwan Muhamad, Mohammad Nawawi Seroji
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	325-329
Number of pages	5
ISBN (Electronic)	9781479972975
DOIs	https://doi.org/10.1109/PECON.2014.7062465
Publication status	Published - Mar 17 2014
Externally published	Yes
Event	2014 IEEE International Conference on Power and Energy, PECon 2014 - Kuching, Sarawak, Malaysia Duration: Dec 1 2014 → Dec 3 2014

Publication series

Name	Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014

Conference

Conference	2014 IEEE International Conference on Power and Energy, PECon 2014
Country/Territory	Malaysia
City	Kuching, Sarawak
Period	12/1/14 → 12/3/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

fuzzy logic controller (FLC)
power quality enhancement
voltage source inverter (VSI)
voltage-frequency control (Vf)

ASJC Scopus subject areas

Fuel Technology
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/PECON.2014.7062465

Cite this

Mutlag, A. H., Shareef, H., & Mohamed, A. (2014). Power quality enhancement in autonomous PV system using fuzzy logic controller. In M. I. Muhamad, & M. N. Seroji (Eds.), Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014 (pp. 325-329). Article 7062465 (Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECON.2014.7062465

Power quality enhancement in autonomous PV system using fuzzy logic controller. / Mutlag, Ammar Hussein; Shareef, H.; Mohamed, A.
Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014. ed. / Mohd Izhwan Muhamad; Mohammad Nawawi Seroji. Institute of Electrical and Electronics Engineers Inc., 2014. p. 325-329 7062465 (Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mutlag, AH, Shareef, H & Mohamed, A 2014, Power quality enhancement in autonomous PV system using fuzzy logic controller. in MI Muhamad & MN Seroji (eds), Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014., 7062465, Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014, Institute of Electrical and Electronics Engineers Inc., pp. 325-329, 2014 IEEE International Conference on Power and Energy, PECon 2014, Kuching, Sarawak, Malaysia, 12/1/14. https://doi.org/10.1109/PECON.2014.7062465

Mutlag AH, Shareef H, Mohamed A. Power quality enhancement in autonomous PV system using fuzzy logic controller. In Muhamad MI, Seroji MN, editors, Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 325-329. 7062465. (Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014). doi: 10.1109/PECON.2014.7062465

Mutlag, Ammar Hussein ; Shareef, H. ; Mohamed, A. / Power quality enhancement in autonomous PV system using fuzzy logic controller. Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014. editor / Mohd Izhwan Muhamad ; Mohammad Nawawi Seroji. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 325-329 (Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014).

@inproceedings{b2664a14a61142ac9bd98c8eee9b2e38,

title = "Power quality enhancement in autonomous PV system using fuzzy logic controller",

abstract = "This work imparts a control strategy for stand-alone photovoltaic (PV) system by means of fuzzy logic controller (FLC). The objective for this endeavor is to manage the power quality supplied from a PV system mainly in the course of load variation. The controller scheme is consist from voltage-frequency (Vf) control strategy based on a synchronous reference frame and the FLC. The FLC is an intelligent controller that is utilized to develop the power control parameters. To control the voltage, as well as the frequency of the three-phase voltage source inverter (VSI), seven gbell membership functions are implemented for the inputs as well as for the output. The results show that the controller was successful in delivering peak voltage of 339V. Furthermore, total harmonic distortion of the voltage waveform fulfilled the international standard, found to be 3.58\%. The outcomes also indicated that the suggested controller have a superior response to fulfill the power quality requirements and show the robustness of the suggested control strategy.",

keywords = "fuzzy logic controller (FLC), power quality enhancement, voltage source inverter (VSI), voltage-frequency control (Vf)",

author = "Mutlag, \{Ammar Hussein\} and H. Shareef and A. Mohamed",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Power and Energy, PECon 2014 ; Conference date: 01-12-2014 Through 03-12-2014",

year = "2014",

month = mar,

day = "17",

doi = "10.1109/PECON.2014.7062465",

language = "English",

series = "Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "325--329",

editor = "Muhamad, \{Mohd Izhwan\} and Seroji, \{Mohammad Nawawi\}",

booktitle = "Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014",

}

TY - GEN

T1 - Power quality enhancement in autonomous PV system using fuzzy logic controller

AU - Mutlag, Ammar Hussein

AU - Shareef, H.

AU - Mohamed, A.

PY - 2014/3/17

Y1 - 2014/3/17

N2 - This work imparts a control strategy for stand-alone photovoltaic (PV) system by means of fuzzy logic controller (FLC). The objective for this endeavor is to manage the power quality supplied from a PV system mainly in the course of load variation. The controller scheme is consist from voltage-frequency (Vf) control strategy based on a synchronous reference frame and the FLC. The FLC is an intelligent controller that is utilized to develop the power control parameters. To control the voltage, as well as the frequency of the three-phase voltage source inverter (VSI), seven gbell membership functions are implemented for the inputs as well as for the output. The results show that the controller was successful in delivering peak voltage of 339V. Furthermore, total harmonic distortion of the voltage waveform fulfilled the international standard, found to be 3.58%. The outcomes also indicated that the suggested controller have a superior response to fulfill the power quality requirements and show the robustness of the suggested control strategy.

AB - This work imparts a control strategy for stand-alone photovoltaic (PV) system by means of fuzzy logic controller (FLC). The objective for this endeavor is to manage the power quality supplied from a PV system mainly in the course of load variation. The controller scheme is consist from voltage-frequency (Vf) control strategy based on a synchronous reference frame and the FLC. The FLC is an intelligent controller that is utilized to develop the power control parameters. To control the voltage, as well as the frequency of the three-phase voltage source inverter (VSI), seven gbell membership functions are implemented for the inputs as well as for the output. The results show that the controller was successful in delivering peak voltage of 339V. Furthermore, total harmonic distortion of the voltage waveform fulfilled the international standard, found to be 3.58%. The outcomes also indicated that the suggested controller have a superior response to fulfill the power quality requirements and show the robustness of the suggested control strategy.

KW - fuzzy logic controller (FLC)

KW - power quality enhancement

KW - voltage source inverter (VSI)

KW - voltage-frequency control (Vf)

UR - https://www.scopus.com/pages/publications/84946686230

UR - https://www.scopus.com/pages/publications/84946686230#tab=citedBy

U2 - 10.1109/PECON.2014.7062465

DO - 10.1109/PECON.2014.7062465

M3 - Conference contribution

AN - SCOPUS:84946686230

T3 - Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014

SP - 325

EP - 329

BT - Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014

A2 - Muhamad, Mohd Izhwan

A2 - Seroji, Mohammad Nawawi

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Power and Energy, PECon 2014

Y2 - 1 December 2014 through 3 December 2014

ER -

Power quality enhancement in autonomous PV system using fuzzy logic controller

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this