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A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications

The smart grid control applications necessitate real-time communication systems with time efficiency for real-time monitoring, measurement, and control. Time-efficient communication systems should have the ability to function in severe propagation conditions in smart grid applications. The data/pack...

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Main Authors: Mohammad Kamrul, Hasan, Musse Mohamud, Ahmed, Aisha, Hassan Abdalla Hashim, Abdur Razzaque, Shayla Islam, Biswajeet, Pandey
Format: Article
Language:English
Published: SpringerLink 2020
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://ir.unimas.my/id/eprint/29600/1/A%20Novel%20Artificial%20Intelligence%20Based%20Timing%20Synchronization_Abstract.pdf
http://ir.unimas.my/id/eprint/29600/
https://link.springer.com/article/10.1007/s11277-020-07408-w
https://doi.org/10.1007/s11277-020-07408-w
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spelling my.unimas.ir.296002023-08-07T02:46:57Z http://ir.unimas.my/id/eprint/29600/ A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications Mohammad Kamrul, Hasan Musse Mohamud, Ahmed Aisha, Hassan Abdalla Hashim Abdur Razzaque, Shayla Islam Biswajeet, Pandey T Technology (General) TA Engineering (General). Civil engineering (General) The smart grid control applications necessitate real-time communication systems with time efficiency for real-time monitoring, measurement, and control. Time-efficient communication systems should have the ability to function in severe propagation conditions in smart grid applications. The data/packet communications need to be maintained by synchronized timing and reliability through equally considering the signal deterioration occurrences, which are propagation delay, phase errors and channel conditions. Phase synchronization plays a vital part in the digital smart grid to get precise and real-time control measurement information. IEEE C37.118 and IEC 61850 had implemented for the synchronization communication to measure as well as control the smart grid applications. Both IEEE C37.118 and IEC 61850 experienced a huge propagation and packet delays due to synchronization precision issues. Because of these delays and errors, measurement and monitoring of the smart grid application in real-time is not accurate. Therefore, it has been investigated that the time synchronization in real-time is a critical challenge in smart grid applications, and for this issue, other errors raised consequently. The existing communication systems are designed with the phasor measurement unit (PMU) along with communication protocol IEEE C37.118 and uses the GPS timestamps as the reference clock stamps. The absence of GPS increases the clock offsets, which surely can hamper the synchronization process and the full control measurement system that can be imprecise. Therefore, to reduce this clock offsets, a new algorithm is needed which may consider any alternative reference timestamps rather than GPS. The revolutionary Artificial Intelligence (AI) enables the industrial revolution to provide a significant performance to engineering solutions. Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. The backpropagation neural network is applied as the AI method that employs the timing estimations and error corrections for the precise performances. The novel AIFS scheme is considered the radio communication functionalities in order to connect the external timing server. The performance of the proposed AIFS scheme is evaluated using a MATLAB-based simulation approach. Simulation results show that the proposed scheme performs better than the existing system. SpringerLink 2020-04-23 Article PeerReviewed text en http://ir.unimas.my/id/eprint/29600/1/A%20Novel%20Artificial%20Intelligence%20Based%20Timing%20Synchronization_Abstract.pdf Mohammad Kamrul, Hasan and Musse Mohamud, Ahmed and Aisha, Hassan Abdalla Hashim and Abdur Razzaque, Shayla Islam and Biswajeet, Pandey (2020) A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications. Wireless Personal Communications. ISSN 1572-834X https://link.springer.com/article/10.1007/s11277-020-07408-w https://doi.org/10.1007/s11277-020-07408-w
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Mohammad Kamrul, Hasan
Musse Mohamud, Ahmed
Aisha, Hassan Abdalla Hashim
Abdur Razzaque, Shayla Islam
Biswajeet, Pandey
A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
description The smart grid control applications necessitate real-time communication systems with time efficiency for real-time monitoring, measurement, and control. Time-efficient communication systems should have the ability to function in severe propagation conditions in smart grid applications. The data/packet communications need to be maintained by synchronized timing and reliability through equally considering the signal deterioration occurrences, which are propagation delay, phase errors and channel conditions. Phase synchronization plays a vital part in the digital smart grid to get precise and real-time control measurement information. IEEE C37.118 and IEC 61850 had implemented for the synchronization communication to measure as well as control the smart grid applications. Both IEEE C37.118 and IEC 61850 experienced a huge propagation and packet delays due to synchronization precision issues. Because of these delays and errors, measurement and monitoring of the smart grid application in real-time is not accurate. Therefore, it has been investigated that the time synchronization in real-time is a critical challenge in smart grid applications, and for this issue, other errors raised consequently. The existing communication systems are designed with the phasor measurement unit (PMU) along with communication protocol IEEE C37.118 and uses the GPS timestamps as the reference clock stamps. The absence of GPS increases the clock offsets, which surely can hamper the synchronization process and the full control measurement system that can be imprecise. Therefore, to reduce this clock offsets, a new algorithm is needed which may consider any alternative reference timestamps rather than GPS. The revolutionary Artificial Intelligence (AI) enables the industrial revolution to provide a significant performance to engineering solutions. Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. The backpropagation neural network is applied as the AI method that employs the timing estimations and error corrections for the precise performances. The novel AIFS scheme is considered the radio communication functionalities in order to connect the external timing server. The performance of the proposed AIFS scheme is evaluated using a MATLAB-based simulation approach. Simulation results show that the proposed scheme performs better than the existing system.
format Article
author Mohammad Kamrul, Hasan
Musse Mohamud, Ahmed
Aisha, Hassan Abdalla Hashim
Abdur Razzaque, Shayla Islam
Biswajeet, Pandey
author_facet Mohammad Kamrul, Hasan
Musse Mohamud, Ahmed
Aisha, Hassan Abdalla Hashim
Abdur Razzaque, Shayla Islam
Biswajeet, Pandey
author_sort Mohammad Kamrul, Hasan
title A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
title_short A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
title_full A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
title_fullStr A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
title_full_unstemmed A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications
title_sort novel artificial intelligence based timing synchronization scheme for smart grid applications
publisher SpringerLink
publishDate 2020
url http://ir.unimas.my/id/eprint/29600/1/A%20Novel%20Artificial%20Intelligence%20Based%20Timing%20Synchronization_Abstract.pdf
http://ir.unimas.my/id/eprint/29600/
https://link.springer.com/article/10.1007/s11277-020-07408-w
https://doi.org/10.1007/s11277-020-07408-w
_version_ 1773547889148035072
score 13.211869

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