Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality

Md Samiul Haque Sunny; Eklas Hossain; Mikal Ahmed; Fuad Un-Noor

doi:10.1109/ECCE.2018.8558470

Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality

Md Samiul Haque Sunny
, Eklas Hossain
, Mikal Ahmed
, Fuad Un-Noor

Electrical Engineering Department

Khulna University of Engineering and Technology

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

16 Scopus citations

Abstract

Dynamic Voltage Restorer (DVR) is a custom power device used as an effective solution in protecting sensitive loads from voltage disturbances in power distribution systems. The efficiency of the control technique, that conducts the switching of the inverters, determines the DVR efficiency. Proportional-Integral-Derivative (PID) control is the general technique to do that. The power quality restoration capabilities of this controller are limited, and it produces significant amount of harmonics - all of which stems from this linear technique's application for controlling non-linear DVR. As a solution, this paper proposes an Artificial Neural Network (ANN) based controller for enhancing restoration and harmonics suppression capabilities of DVR. A detailed comparison of Neural Network controller with PID driven controller and Fuzzy logic driven controller is also illustrated, where the proposed controller demonstrated superior performance with a mere 13.5% Total Harmonic Distortion.

Original language	English
Title of host publication	2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5565-5572
Number of pages	8
ISBN (Electronic)	9781479973118
DOIs	https://doi.org/10.1109/ECCE.2018.8558470
State	Published - 3 Dec 2018
Event	10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States Duration: 23 Sep 2018 → 27 Sep 2018

Publication series

Name	2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Conference

Conference	10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Country/Territory	United States
City	Portland
Period	23/09/18 → 27/09/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Artificial Neural Network (ANN)
Dynamic Voltage Restorer (DVR)
Fuzzy logic
PID
Power quality

Access to Document

10.1109/ECCE.2018.8558470

Cite this

Sunny, M. S. H., Hossain, E., Ahmed, M., & Un-Noor, F. (2018). Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality. In 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 (pp. 5565-5572). Article 8558470 (2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2018.8558470

@inproceedings{0daa93ce64014bcdb9f914a398c9a5a3,

title = "Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality",

abstract = "Dynamic Voltage Restorer (DVR) is a custom power device used as an effective solution in protecting sensitive loads from voltage disturbances in power distribution systems. The efficiency of the control technique, that conducts the switching of the inverters, determines the DVR efficiency. Proportional-Integral-Derivative (PID) control is the general technique to do that. The power quality restoration capabilities of this controller are limited, and it produces significant amount of harmonics - all of which stems from this linear technique's application for controlling non-linear DVR. As a solution, this paper proposes an Artificial Neural Network (ANN) based controller for enhancing restoration and harmonics suppression capabilities of DVR. A detailed comparison of Neural Network controller with PID driven controller and Fuzzy logic driven controller is also illustrated, where the proposed controller demonstrated superior performance with a mere 13.5\% Total Harmonic Distortion.",

keywords = "Artificial Neural Network (ANN), Dynamic Voltage Restorer (DVR), Fuzzy logic, PID, Power quality",

author = "Sunny, \{Md Samiul Haque\} and Eklas Hossain and Mikal Ahmed and Fuad Un-Noor",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 ; Conference date: 23-09-2018 Through 27-09-2018",

year = "2018",

month = dec,

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doi = "10.1109/ECCE.2018.8558470",

language = "English",

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address = "United States",

}

Sunny, MSH, Hossain, E, Ahmed, M & Un-Noor, F 2018, Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality. in 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018., 8558470, 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 5565-5572, 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018, Portland, United States, 23/09/18. https://doi.org/10.1109/ECCE.2018.8558470

Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality. / Sunny, Md Samiul Haque; Hossain, Eklas; Ahmed, Mikal et al.
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5565-5572 8558470 (2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018).

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

TY - GEN

T1 - Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality

AU - Sunny, Md Samiul Haque

AU - Hossain, Eklas

AU - Ahmed, Mikal

AU - Un-Noor, Fuad

PY - 2018/12/3

Y1 - 2018/12/3

N2 - Dynamic Voltage Restorer (DVR) is a custom power device used as an effective solution in protecting sensitive loads from voltage disturbances in power distribution systems. The efficiency of the control technique, that conducts the switching of the inverters, determines the DVR efficiency. Proportional-Integral-Derivative (PID) control is the general technique to do that. The power quality restoration capabilities of this controller are limited, and it produces significant amount of harmonics - all of which stems from this linear technique's application for controlling non-linear DVR. As a solution, this paper proposes an Artificial Neural Network (ANN) based controller for enhancing restoration and harmonics suppression capabilities of DVR. A detailed comparison of Neural Network controller with PID driven controller and Fuzzy logic driven controller is also illustrated, where the proposed controller demonstrated superior performance with a mere 13.5% Total Harmonic Distortion.

AB - Dynamic Voltage Restorer (DVR) is a custom power device used as an effective solution in protecting sensitive loads from voltage disturbances in power distribution systems. The efficiency of the control technique, that conducts the switching of the inverters, determines the DVR efficiency. Proportional-Integral-Derivative (PID) control is the general technique to do that. The power quality restoration capabilities of this controller are limited, and it produces significant amount of harmonics - all of which stems from this linear technique's application for controlling non-linear DVR. As a solution, this paper proposes an Artificial Neural Network (ANN) based controller for enhancing restoration and harmonics suppression capabilities of DVR. A detailed comparison of Neural Network controller with PID driven controller and Fuzzy logic driven controller is also illustrated, where the proposed controller demonstrated superior performance with a mere 13.5% Total Harmonic Distortion.

KW - Artificial Neural Network (ANN)

KW - Dynamic Voltage Restorer (DVR)

KW - Fuzzy logic

KW - PID

KW - Power quality

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M3 - Conference contribution

AN - SCOPUS:85060310804

T3 - 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

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BT - 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018

Y2 - 23 September 2018 through 27 September 2018

ER -

Sunny MSH, Hossain E, Ahmed M, Un-Noor F. Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality. In 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 5565-5572. 8558470. (2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018). doi: 10.1109/ECCE.2018.8558470

Artificial Neural Network Based Dynamic Voltage Restorer for Improvement of Power Quality

Abstract

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UN SDGs

Keywords

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