Probabilistic Determination of Substation Communication Network Reliability Parameters

Jackson Esabu; Samuel Amaechi Ike

doi:doi:10.11648/j.ae.20190301.13

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Probabilistic Determination of Substation Communication Network Reliability Parameters

Jackson Esabu, Samuel Amaechi Ike

Published in Applied Engineering (Volume 3, Issue 1)

Received: 20 January 2019 Accepted: 19 March 2019 Published: 6 May 2019

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Abstract

Substation communication network consists of networking devices whose reliability is becoming one of the most prioritized by utility asset owners owing to the critical functions (that is power grid real time monitoring and control operations) perform by the substation communication network. This paper focused on the use of probabilistic approach to determine substation communication network reliability using statistical analysis, randomly derived statistical data, reliability theory and computing techniques. The paper also focused on the use of network nodes reduction technique to test the communication network redundancy. The findings of this paper are aimed at using networking device derived failure rate data to determine communication network reliability at the defined end of life of the network, and also to estimate the of Mean Time To Failure of the derived communication network. The result of this research has demonstrated that probabilistic approach can be use to successfully analysis and determine the reliability of a communication network within the defined network service (i.e. operational) life.

Published in	Applied Engineering (Volume 3, Issue 1)
DOI	10.11648/j.ae.20190301.13
Page(s)	20-26
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

Seamless Parallel Redundant Time Dependent (SPRTD) Network, Mean Time To Failure (MTTF), Reliability, Failure Rate (f(t)), Node Elimination Approach, and Parallel Redundant Protocol (PRP)

References

[1]	A. Birolini, “Reliability Engineering, Theory and Practise” (5^th Edition), Springer Berlin Heidelberg New York, 2006, pp [4-7], [41-47], [206-212], [213], [219], [401-406] & [419-421].
[2]	A. B. Darby, M. Farook, Abdulaziz A. Al-Sultan, “Experience using PRP Ethernet redundancy for Substation Automation Systems,” IET Conference, 2014, pp. 1-4.
[3]	T. S. Sidhu, G. Kanabar and P. P. Parikh, "Implementation Issues with IEC 61850 Based Substation Automation Systems," presented at the 15th National Power Systems Conference (NPSC), IIT Bombay, 2008, pp 473-478.
[4]	L. Yang, P. A. Crossley, J. Zhao, H. Li and W. An, "Impact evaluation of IEC 61850 process bus architecture on numerical protection systems," in Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference, pp. 1-6.
[5]	Medjoudj, R. Medjoudj, R. and Aissani D. (2011). “Reliability Modeling and Data Analysis of Vacuum Circuit Breaker Subject to Random Shocks”. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol: 5, No: 11, pp 1441-1445.
[6]	Kingo Koshiishi, Keiichi Kaneda, Yasumasa Watabe, “Interoperability experience with IEC 61850-based Substation Automation Systems” IEEE Conference, 2012, pp. 1-5.
[7]	L. Andersson, K. P. Brand, C. Brunner, and W. Wimmer, “Reliability investigations for SA communication architectures based on IEC 61850,” in Proc. IEEE Power Tech., Aug. 2005.
[8]	Gore, R., Satheesh, H., Varier, M. and Valsan, S. (2016) “Analysis of an IEC 61850 based Electric Substation Communication Architecture”. IEEE, ISSN: 2166-0670, pp 1-6.
[9]	T. S. Sidhu, and Pradeep K Gangadharan (2005) “Control and Automation of Power System Substation using IEC 61850 Communication”. IEEE Conference on Control Application, pp 1-6.
[10]	P. Zhang, L. Portillo and M. Kezunovic, "Reliability and Component Importance Analysis of All-Digital Protection Systems," in Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES, pp. 1380-1387.
[11]	M. G. Kanabar and S. Sidhu, "Reliability and availability analysis of IEC 61850 based substation communication architectures," in Power & Energy Society General Meeting, 2009. PES '09. IEEE, pp. 1-8.
[12]	Arun T V, Lathesh L, Suhas A R, “Substation Automation system,” International Journal of Scientific & Engineering Research, Volume 7, Issue 5, May-2016 215 ISSN 2229-5518 IJSER © 2016.
[13]	K. Jiang and C. Singh, "Reliability Modeling of All-Digital Protection Systems Including Impact of Repair," Power Delivery, IEEE Trans, 2010, pp. 579-587.
[14]	Zhang, Y., Sprintson A. and Singh, C. (2012) “An Integrative Approach to Reliability Analysis of an IEC 61850 Digital Substation“. IEEE, INSPEC Accession Number: 13170755, pp 1-8.

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APA Style

Jackson Esabu, Samuel Amaechi Ike. (2019). Probabilistic Determination of Substation Communication Network Reliability Parameters. Applied Engineering, 3(1), 20-26. https://doi.org/10.11648/j.ae.20190301.13

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ACS Style

Jackson Esabu; Samuel Amaechi Ike. Probabilistic Determination of Substation Communication Network Reliability Parameters. Appl. Eng. 2019, 3(1), 20-26. doi: 10.11648/j.ae.20190301.13

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AMA Style

Jackson Esabu, Samuel Amaechi Ike. Probabilistic Determination of Substation Communication Network Reliability Parameters. Appl Eng. 2019;3(1):20-26. doi: 10.11648/j.ae.20190301.13

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@article{10.11648/j.ae.20190301.13,
  author = {Jackson Esabu and Samuel Amaechi Ike},
  title = {Probabilistic Determination of Substation Communication Network Reliability Parameters},
  journal = {Applied Engineering},
  volume = {3},
  number = {1},
  pages = {20-26},
  doi = {10.11648/j.ae.20190301.13},
  url = {https://doi.org/10.11648/j.ae.20190301.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ae.20190301.13},
  abstract = {Substation communication network consists of networking devices whose reliability is becoming one of the most prioritized by utility asset owners owing to the critical functions (that is power grid real time monitoring and control operations) perform by the substation communication network. This paper focused on the use of probabilistic approach to determine substation communication network reliability using statistical analysis, randomly derived statistical data, reliability theory and computing techniques. The paper also focused on the use of network nodes reduction technique to test the communication network redundancy. The findings of this paper are aimed at using networking device derived failure rate data to determine communication network reliability at the defined end of life of the network, and also to estimate the of Mean Time To Failure of the derived communication network. The result of this research has demonstrated that probabilistic approach can be use to successfully analysis and determine the reliability of a communication network within the defined network service (i.e. operational) life.},
 year = {2019}
}

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TY  - JOUR
T1  - Probabilistic Determination of Substation Communication Network Reliability Parameters
AU  - Jackson Esabu
AU  - Samuel Amaechi Ike
Y1  - 2019/05/06
PY  - 2019
N1  - https://doi.org/10.11648/j.ae.20190301.13
DO  - 10.11648/j.ae.20190301.13
T2  - Applied Engineering
JF  - Applied Engineering
JO  - Applied Engineering
SP  - 20
EP  - 26
PB  - Science Publishing Group
SN  - 2994-7456
UR  - https://doi.org/10.11648/j.ae.20190301.13
AB  - Substation communication network consists of networking devices whose reliability is becoming one of the most prioritized by utility asset owners owing to the critical functions (that is power grid real time monitoring and control operations) perform by the substation communication network. This paper focused on the use of probabilistic approach to determine substation communication network reliability using statistical analysis, randomly derived statistical data, reliability theory and computing techniques. The paper also focused on the use of network nodes reduction technique to test the communication network redundancy. The findings of this paper are aimed at using networking device derived failure rate data to determine communication network reliability at the defined end of life of the network, and also to estimate the of Mean Time To Failure of the derived communication network. The result of this research has demonstrated that probabilistic approach can be use to successfully analysis and determine the reliability of a communication network within the defined network service (i.e. operational) life.
VL  - 3
IS  - 1
ER  -

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Author Information

Jackson Esabu

Department of Electrical & Electronic Engineering, University of Benin, Benin City, Nigeria
Samuel Amaechi Ike

Department of Electrical & Electronic Engineering, University of Benin, Benin City, Nigeria

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APA Style

Jackson Esabu, Samuel Amaechi Ike. (2019). Probabilistic Determination of Substation Communication Network Reliability Parameters. Applied Engineering, 3(1), 20-26. https://doi.org/10.11648/j.ae.20190301.13

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ACS Style

Jackson Esabu; Samuel Amaechi Ike. Probabilistic Determination of Substation Communication Network Reliability Parameters. Appl. Eng. 2019, 3(1), 20-26. doi: 10.11648/j.ae.20190301.13

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AMA Style

Jackson Esabu, Samuel Amaechi Ike. Probabilistic Determination of Substation Communication Network Reliability Parameters. Appl Eng. 2019;3(1):20-26. doi: 10.11648/j.ae.20190301.13

Copy | Download

@article{10.11648/j.ae.20190301.13,
  author = {Jackson Esabu and Samuel Amaechi Ike},
  title = {Probabilistic Determination of Substation Communication Network Reliability Parameters},
  journal = {Applied Engineering},
  volume = {3},
  number = {1},
  pages = {20-26},
  doi = {10.11648/j.ae.20190301.13},
  url = {https://doi.org/10.11648/j.ae.20190301.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ae.20190301.13},
  abstract = {Substation communication network consists of networking devices whose reliability is becoming one of the most prioritized by utility asset owners owing to the critical functions (that is power grid real time monitoring and control operations) perform by the substation communication network. This paper focused on the use of probabilistic approach to determine substation communication network reliability using statistical analysis, randomly derived statistical data, reliability theory and computing techniques. The paper also focused on the use of network nodes reduction technique to test the communication network redundancy. The findings of this paper are aimed at using networking device derived failure rate data to determine communication network reliability at the defined end of life of the network, and also to estimate the of Mean Time To Failure of the derived communication network. The result of this research has demonstrated that probabilistic approach can be use to successfully analysis and determine the reliability of a communication network within the defined network service (i.e. operational) life.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Probabilistic Determination of Substation Communication Network Reliability Parameters
AU  - Jackson Esabu
AU  - Samuel Amaechi Ike
Y1  - 2019/05/06
PY  - 2019
N1  - https://doi.org/10.11648/j.ae.20190301.13
DO  - 10.11648/j.ae.20190301.13
T2  - Applied Engineering
JF  - Applied Engineering
JO  - Applied Engineering
SP  - 20
EP  - 26
PB  - Science Publishing Group
SN  - 2994-7456
UR  - https://doi.org/10.11648/j.ae.20190301.13
AB  - Substation communication network consists of networking devices whose reliability is becoming one of the most prioritized by utility asset owners owing to the critical functions (that is power grid real time monitoring and control operations) perform by the substation communication network. This paper focused on the use of probabilistic approach to determine substation communication network reliability using statistical analysis, randomly derived statistical data, reliability theory and computing techniques. The paper also focused on the use of network nodes reduction technique to test the communication network redundancy. The findings of this paper are aimed at using networking device derived failure rate data to determine communication network reliability at the defined end of life of the network, and also to estimate the of Mean Time To Failure of the derived communication network. The result of this research has demonstrated that probabilistic approach can be use to successfully analysis and determine the reliability of a communication network within the defined network service (i.e. operational) life.
VL  - 3
IS  - 1
ER  -

Copy | Download