Machine learning based voltage regulation technique using smart rotating magnetic inverter

Muhammad Majid Hussain; Muhammad Siddique; Waqas Javed; Abdul Razaq; Muhammad Naveed Akhter; Farhan Hameed Malik

doi:10.1109/ICECET55527.2022.9872612

Machine learning based voltage regulation technique using smart rotating magnetic inverter

Muhammad Majid Hussain, Muhammad Siddique, Waqas Javed, Abdul Razaq, Muhammad Naveed Akhter, Farhan Hameed Malik

Division of Cybersecurity

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

Abstract

In this paper, a control methodology for power distribution line voltage regulations is presented. The salient features of this rotating magnetic inverter (RMI) include novel architecture with reduced electronic components and simple circuitry rather than conventional inverters, making it very economical and easy to implement. A new adaptive control based on a fuzzy logic approach is discussed in this paper, enabling the inverter to work more efficiently for dynamic voltage regulation. This proposed control method is best to mitigate the effect of voltage sags and swells in power distribution lines. On dynamic load variations, the system becomes unstable, and output contains voltage harmonics. Moreover, the RMI is a novel contribution from the authors as it has a unique structure for rotation of magnetic fields. The claim about the performance of the proposed RMI is tested and verified through MATLAB simulation.

Original language	English
Title of host publication	Proceedings of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781665470872
ISBN (Print)	9781665470889
DOIs	https://doi.org/10.1109/ICECET55527.2022.9872612
Publication status	Published - 9 Sep 2022
Event	2nd International Conference on Electrical, Computer and Energy Technologies - Czech University of Life Sciences Prague, Prague, Czech Republic Duration: 20 Jul 2022 → 22 Jul 2022 Conference number: 2nd http://www.icecet.com/

Conference

Conference	2nd International Conference on Electrical, Computer and Energy Technologies
Abbreviated title	ICECET 2022
Country/Territory	Czech Republic
City	Prague
Period	20/07/22 → 22/07/22
Internet address	http://www.icecet.com/

Keywords

RM inverter
Voltage regulation
Fuzzy logic control
Voltage sag and swells

Access to Document

10.1109/ICECET55527.2022.9872612

Cite this

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title = "Machine learning based voltage regulation technique using smart rotating magnetic inverter",

abstract = "In this paper, a control methodology for power distribution line voltage regulations is presented. The salient features of this rotating magnetic inverter (RMI) include novel architecture with reduced electronic components and simple circuitry rather than conventional inverters, making it very economical and easy to implement. A new adaptive control based on a fuzzy logic approach is discussed in this paper, enabling the inverter to work more efficiently for dynamic voltage regulation. This proposed control method is best to mitigate the effect of voltage sags and swells in power distribution lines. On dynamic load variations, the system becomes unstable, and output contains voltage harmonics. Moreover, the RMI is a novel contribution from the authors as it has a unique structure for rotation of magnetic fields. The claim about the performance of the proposed RMI is tested and verified through MATLAB simulation.",

author = "Hussain, {Muhammad Majid} and Muhammad Siddique and Waqas Javed and Abdul Razaq and Akhter, {Muhammad Naveed} and Malik, {Farhan Hameed}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Electrical, Computer and Energy Technologies, ICECET 2022 ; Conference date: 20-07-2022 Through 22-07-2022",

year = "2022",

month = sep,

day = "9",

doi = "10.1109/ICECET55527.2022.9872612",

language = "English",

isbn = "9781665470889",

booktitle = "Proceedings of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022)",

publisher = "IEEE ",

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Hussain, MM, Siddique, M, Javed, W, Razaq, A, Akhter, MN & Malik, FH 2022, Machine learning based voltage regulation technique using smart rotating magnetic inverter. in Proceedings of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022)., 9872612, IEEE , Piscataway, NJ, 2nd International Conference on Electrical, Computer and Energy Technologies, Prague, Czech Republic, 20/07/22. https://doi.org/10.1109/ICECET55527.2022.9872612

Machine learning based voltage regulation technique using smart rotating magnetic inverter. / Hussain, Muhammad Majid; Siddique, Muhammad; Javed, Waqas et al.

Proceedings of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022). Piscataway, NJ : IEEE , 2022. 9872612.

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

TY - GEN

T1 - Machine learning based voltage regulation technique using smart rotating magnetic inverter

AU - Hussain, Muhammad Majid

AU - Siddique, Muhammad

AU - Javed, Waqas

AU - Razaq, Abdul

AU - Akhter, Muhammad Naveed

AU - Malik, Farhan Hameed

N1 - Conference code: 2nd

PY - 2022/9/9

Y1 - 2022/9/9

N2 - In this paper, a control methodology for power distribution line voltage regulations is presented. The salient features of this rotating magnetic inverter (RMI) include novel architecture with reduced electronic components and simple circuitry rather than conventional inverters, making it very economical and easy to implement. A new adaptive control based on a fuzzy logic approach is discussed in this paper, enabling the inverter to work more efficiently for dynamic voltage regulation. This proposed control method is best to mitigate the effect of voltage sags and swells in power distribution lines. On dynamic load variations, the system becomes unstable, and output contains voltage harmonics. Moreover, the RMI is a novel contribution from the authors as it has a unique structure for rotation of magnetic fields. The claim about the performance of the proposed RMI is tested and verified through MATLAB simulation.

AB - In this paper, a control methodology for power distribution line voltage regulations is presented. The salient features of this rotating magnetic inverter (RMI) include novel architecture with reduced electronic components and simple circuitry rather than conventional inverters, making it very economical and easy to implement. A new adaptive control based on a fuzzy logic approach is discussed in this paper, enabling the inverter to work more efficiently for dynamic voltage regulation. This proposed control method is best to mitigate the effect of voltage sags and swells in power distribution lines. On dynamic load variations, the system becomes unstable, and output contains voltage harmonics. Moreover, the RMI is a novel contribution from the authors as it has a unique structure for rotation of magnetic fields. The claim about the performance of the proposed RMI is tested and verified through MATLAB simulation.

U2 - 10.1109/ICECET55527.2022.9872612

DO - 10.1109/ICECET55527.2022.9872612

M3 - Conference contribution

SN - 9781665470889

BT - Proceedings of the International Conference on Electrical, Computer and Energy Technologies (ICECET 2022)

PB - IEEE

CY - Piscataway, NJ

T2 - 2nd International Conference on Electrical, Computer and Energy Technologies

Y2 - 20 July 2022 through 22 July 2022

ER -

Machine learning based voltage regulation technique using smart rotating magnetic inverter

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Keywords

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