Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems

Aparna S. Telang; Prashant P. Bedekar; Ashish K. Duchakke

doi:doi:10.11648/j.mlr.20190401.11

| Peer-Reviewed

Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems

Aparna S. Telang, Prashant P. Bedekar, Ashish K. Duchakke

Published in Machine Learning Research (Volume 4, Issue 1)

Received: 22 March 2019 Accepted: 26 April 2019 Published: 23 May 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Communication network is an integral part of an intelligent based fully automated smart grid system. It plays an important role in the framework of the transition towards distribution side of the smart grid system. Power theft, Fault detection, Overloading etc. are some of the important issues on the power distribution networks. To address these issues, a novel Arduino based prototype model “Smart Electricity System” has been proposed in this paper. It includes global system for mobile communication (GSM) for its effective implementation on the distribution network. Moreover another novel feature, Advanced Metering Infrastructure (AMI) is added to the proposed model. This is the key technology deployed on the distribution side of the smart grid system. The Uniqueness of the proposed model lies in the detection of power theft, where the information is sent to MSEB directly via interactive model of GSM 800 and APR voice kit, in the fault detection and its isolation by proper coordination between relay and Aurdino and in the overloading warning. Doing so, not only electricity is conserved but also the safety of living beings and protection of electrical appliances can be achieved effectively. Modern controllers with effective sensors are used to achieve all these issues for greater accuracy.

Published in	Machine Learning Research (Volume 4, Issue 1)
DOI	10.11648/j.mlr.20190401.11
Page(s)	1-6
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Smart Grid, Communication Technology, Advanced Metering Infrastructure (AMI), Power Theft, APR Voice Kit, GSM

References

[1]	Vehbi C. Gungor, DilanSahin, TaskinKocak, SalihErgut, Concettina Buccella, Carlo Cecati, Gerhard P. Hancke, “ Smart Grid Technologies: Communication Technologies and Standards,” IEEE Transactions on Industrial Informatics, vol. 7, no. 4, pp. 529-538, November 2011.
[2]	Jing Jiang and Yi Qian, “Distributed Communication Architecture for Smart Grid Applications,” IEEE Communications Magazine, pp. 60-67, December 2016.
[3]	Stephen F. Bush, Sanjay Goel, Georges Simard, “IEEE Vision for Smart GridCommunications: 2030 and Beyond Roadmap,” IEEE smart grid research association, pp. 1-19, 2013.
[4]	Jingfang Huang, Honggang Wang, Yi Qian, “Smart Grid Communications in ChallengingEnvironments,” IEEE smart grid symposium, pp. 552-557, 2012.
[5]	Ruofei Ma, Hsiao-Hwa Chen, Yu-Ren Huang, and WeixiaoMeng, “Smart Grid Communication: Its Challenges and Opportunities,” IEEE Transactions on Smart Grid, pp. 1-10, October 2012.
[6]	Z. Lia, F. Yanga, S. Mohagheghib, Z. Wanga, J. C. Tourniera, Y. Wang “Toward Smart Distribution Management by Integrating Advanced Metering Infrastructure,” Electric Power Systems Research 105 (2013) 51– 56, July 2017.
[7]	Saurabh Amin, Galina A. Schwartz, Alvaro A. CÁrdenas, and S. Shankar Sastry, “Game-Theoretic Models of Electricity Theft Detection in Smart Utility Networks: Providing New Capabilities with Advanced Metering Infrastructure,”IEEE Transaction on Control Systems, vol. 35, Issue 1, pp. 66-81, Feb. 2015.
[8]	Rong Jiang, Rongxing Lu, Ye Wang, Jun Luo, ChangxiangShen, and Xuemin (Sherman) Shen, “ Energy-Theft Detection Issues for Advanced Metering Infrastructure in Smart Grid,” Tsinghua Science And Technology, vol. 19, no. 2, pp. 105-120, April 2014.
[9]	Farhan H. Malik, MattiLehtonenAalto, “A review: Agents in Smart Grids,” Electric Power Systems Research, vol. 131, pp. 71–79, October 2015.
[10]	V. Cagri Gungor, Dilan Sahin, Taskin Kocak, SalihErgut, Concettina Buccella, Carlo Cecati, and Gerhard P. Hancke, “Survey on Smart Grid Potential Applications andCommunication Requirements,” IEEE Transactions oOn Industrial Informatics, vol. 9, no. 1, pp. 28-42, February 2013.
[11]	D. Baimel and S. Tapuchi, N. Baimel, “Smart Grid Communication Technologies-Overview, Research Challenges and Opportunities,” International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 116-120, December2016.
[12]	Eduardo F. Ferreira, J. Dionísio Barros, “Faults Monitoring System in the Electric Power Grid of Medium Voltage,” The 8th International Conference on Sustainable Energy Information Technology (SEIT 2018), Procedia Computer Science, pp. 696–703, 2018.
[13]	DusanNikolic, Michael Negnewhitsky, “Smart Grid in Isolated Power Systems – Practical Operational Experiences,” Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, Energy Procedia, vol. 159, pp. 466–471, 2019.
[14]	AbdulrahamanOkinoOtuozea, MohdWazir Mustafa, Raja MasoodLarik, “Review-Smart grids security challenges: Classification by sources of threats,” Journal of Electrical Systems and Information Technology, vol. 5, pp. 468–483, 2018.
[15]	Ramakrishna Kappagantu, S. Arul Daniel, “Review -Challenges and issues of smart grid implementation:A case of Indian scenario,” Journal of Electrical Systems and Information Technology, vol. 5, pp. 453–467, 2018.
[16]	M. M. Eissa, Medhat H. A. Awadalla, “Centralized protection scheme for smart grid integrated with multiple renewable resources using Internet of Energy,” Global Transitions (science direct), vol. 1, pp. 50-60, 2019.

Cite This Article

Plain Text BibTeX RIS

APA Style

Aparna S. Telang, Prashant P. Bedekar, Ashish K. Duchakke. (2019). Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems. Machine Learning Research, 4(1), 1-6. https://doi.org/10.11648/j.mlr.20190401.11

Copy | Download

ACS Style

Aparna S. Telang; Prashant P. Bedekar; Ashish K. Duchakke. Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems. Mach. Learn. Res. 2019, 4(1), 1-6. doi: 10.11648/j.mlr.20190401.11

Copy | Download

AMA Style

Aparna S. Telang, Prashant P. Bedekar, Ashish K. Duchakke. Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems. Mach Learn Res. 2019;4(1):1-6. doi: 10.11648/j.mlr.20190401.11

Copy | Download

@article{10.11648/j.mlr.20190401.11,
  author = {Aparna S. Telang and Prashant P. Bedekar and Ashish K. Duchakke},
  title = {Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems},
  journal = {Machine Learning Research},
  volume = {4},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.mlr.20190401.11},
  url = {https://doi.org/10.11648/j.mlr.20190401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20190401.11},
  abstract = {Communication network is an integral part of an intelligent based fully automated smart grid system. It plays an important role in the framework of the transition towards distribution side of the smart grid system. Power theft, Fault detection, Overloading etc. are some of the important issues on the power distribution networks. To address these issues, a novel Arduino based prototype model “Smart Electricity System” has been proposed in this paper. It includes global system for mobile communication (GSM) for its effective implementation on the distribution network. Moreover another novel feature, Advanced Metering Infrastructure (AMI) is added to the proposed model. This is the key technology deployed on the distribution side of the smart grid system. The Uniqueness of the proposed model lies in the detection of power theft, where the information is sent to MSEB directly via interactive model of GSM 800 and APR voice kit, in the fault detection and its isolation by proper coordination between relay and Aurdino and in the overloading warning. Doing so, not only electricity is conserved but also the safety of living beings and protection of electrical appliances can be achieved effectively. Modern controllers with effective sensors are used to achieve all these issues for greater accuracy.},
 year = {2019}
}

Copy | Download

TY - JOUR
T1 - Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems
AU - Aparna S. Telang
AU - Prashant P. Bedekar
AU - Ashish K. Duchakke
Y1 - 2019/05/23
PY - 2019
N1 - https://doi.org/10.11648/j.mlr.20190401.11
DO - 10.11648/j.mlr.20190401.11
T2 - Machine Learning Research
JF - Machine Learning Research
JO - Machine Learning Research
SP - 1
EP - 6
PB - Science Publishing Group
SN - 2637-5680
UR - https://doi.org/10.11648/j.mlr.20190401.11
AB - Communication network is an integral part of an intelligent based fully automated smart grid system. It plays an important role in the framework of the transition towards distribution side of the smart grid system. Power theft, Fault detection, Overloading etc. are some of the important issues on the power distribution networks. To address these issues, a novel Arduino based prototype model “Smart Electricity System” has been proposed in this paper. It includes global system for mobile communication (GSM) for its effective implementation on the distribution network. Moreover another novel feature, Advanced Metering Infrastructure (AMI) is added to the proposed model. This is the key technology deployed on the distribution side of the smart grid system. The Uniqueness of the proposed model lies in the detection of power theft, where the information is sent to MSEB directly via interactive model of GSM 800 and APR voice kit, in the fault detection and its isolation by proper coordination between relay and Aurdino and in the overloading warning. Doing so, not only electricity is conserved but also the safety of living beings and protection of electrical appliances can be achieved effectively. Modern controllers with effective sensors are used to achieve all these issues for greater accuracy.
VL - 4
IS - 1
ER -

Copy | Download

Author Information

Aparna S. Telang

Department of Electrical Engineering, Sant Gadge Baba Amravati University, Amravati, India
Prashant P. Bedekar

Department of Electrical Engineering, Gondwana University, Chandrapur, India
Ashish K. Duchakke

Department of Electrical Engineering, Sant Gadge Baba Amravati University, Amravati, India

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Aparna S. Telang, Prashant P. Bedekar, Ashish K. Duchakke. (2019). Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems. Machine Learning Research, 4(1), 1-6. https://doi.org/10.11648/j.mlr.20190401.11

Copy | Download

ACS Style

Aparna S. Telang; Prashant P. Bedekar; Ashish K. Duchakke. Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems. Mach. Learn. Res. 2019, 4(1), 1-6. doi: 10.11648/j.mlr.20190401.11

Copy | Download

AMA Style

Aparna S. Telang, Prashant P. Bedekar, Ashish K. Duchakke. Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems. Mach Learn Res. 2019;4(1):1-6. doi: 10.11648/j.mlr.20190401.11

Copy | Download

@article{10.11648/j.mlr.20190401.11,
  author = {Aparna S. Telang and Prashant P. Bedekar and Ashish K. Duchakke},
  title = {Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems},
  journal = {Machine Learning Research},
  volume = {4},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.mlr.20190401.11},
  url = {https://doi.org/10.11648/j.mlr.20190401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20190401.11},
  abstract = {Communication network is an integral part of an intelligent based fully automated smart grid system. It plays an important role in the framework of the transition towards distribution side of the smart grid system. Power theft, Fault detection, Overloading etc. are some of the important issues on the power distribution networks. To address these issues, a novel Arduino based prototype model “Smart Electricity System” has been proposed in this paper. It includes global system for mobile communication (GSM) for its effective implementation on the distribution network. Moreover another novel feature, Advanced Metering Infrastructure (AMI) is added to the proposed model. This is the key technology deployed on the distribution side of the smart grid system. The Uniqueness of the proposed model lies in the detection of power theft, where the information is sent to MSEB directly via interactive model of GSM 800 and APR voice kit, in the fault detection and its isolation by proper coordination between relay and Aurdino and in the overloading warning. Doing so, not only electricity is conserved but also the safety of living beings and protection of electrical appliances can be achieved effectively. Modern controllers with effective sensors are used to achieve all these issues for greater accuracy.},
 year = {2019}
}

Copy | Download