Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique

Desta Tegegne Asradew

doi:doi:10.11648/j.ajece.20210502.12

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Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique

Desta Tegegne Asradew

Published in American Journal of Electrical and Computer Engineering (Volume 5, Issue 2)

Received: 1 June 2021 Accepted: 20 July 2021 Published: 2 August 2021

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Abstract

This paper presents determination and allocation optimal number of sectionalizer switches using fuzzy based approach to improve the reliability of Berhan power distribution network. My intention to present in this study on the reliability assessment and method of improving reliability is that Debre Berhan power distribution network has frequent instructions. To improve customer reliability of power distribution system different methods can be used. Thus to complete this study MATLAB Simulink models of distribution network initial and optimal number of sectionalizer switch allocation are developed. Sheno 15kV feeder of the distribution network is selected for simulation studies to test the efficiency of the proposed approach. Simulation studies using ETAP software are carried out reliability indies of distribution network with and without optimal number of switch allocation. The simulation results show optimal allocation of sectionalizer switches improve the reliabity indices such as SAIFI, SAIDI and expected energy not supplied (EENS) and evaluates the reliability of Debre Berhan power distribution network using analytical techniques, software simulation and level of optimization achievable through the application optimal placement of switches. At the result of optimal placement of sectionalizers switches for sheno 15kV feeder SAIFI is improved by 12.76% and SAIDI are 41.61%. From the test result the proposed technique presents better interruption cost in comparison that of existing system 64,806.06$/yr. to 57,346.57$/yr. (which is 11.5% reduction) along with improvement in reliability indices and expected energy not supplied (EENS) was improved from 17828.014MWh/yr. to1533.75MWh/yr. (91.04%).

Published in	American Journal of Electrical and Computer Engineering (Volume 5, Issue 2)
DOI	10.11648/j.ajece.20210502.12
Page(s)	45-55
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), 2024. Published by Science Publishing Group

Keywords

Distribution System Reliability, ETAP Software, Fuzzy Logic Optimization, Sectionalizers Switches

References

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[2]	M. Ahmed, "Electric Power Distribution System Reliability Assessment Of Arba Minch City, Ethiopia," International Journal of Current Research, ISSN: 0975-833X, vol. 8, no. 08, pp. 36992-36995, 2016.
[3]	M. A. K. a. D. A. Sharma**, "Reliability Enhancement of Power System by Condition Monitoring Transformer Using Fuzzy AHP," International Journal on Emerging Technologies, vol. 6, no. 1, pp. 43-55, 2015.
[4]	C. P. S. B. B. S. Atthapol Ngaopitakkul1, "A Reliability Impact and Assessment of Distributed Generation Integration to Distribution System," Energy and Power Engineering, doi: 10.4236/epe,54B199 Published Online July 2013 (http://www.scirp.org/journal/epe), vol. 5, pp. 1043-1047, 2013.
[5]	S. S. M. Azhar Khan, "Reliability Based Power Distribution Systems," International Journal of Novel Research in Electrical and Mechanical Engineering, vol. 2, no. 1, pp. pp: (8-16), April 2015.
[6]	K. V. Imayavaramban1 R. Karhikeyan2PG Scholar, 2Assistant Professor"Power System Reliability improvement by proper application of Problem Solving Tool," International Journal of Engineering and Techniques, Volume 1, Issue 2, March-April 2017, pp. 2395-1303.
[7]	L. O. U. a. E. Udo, "Development of Outage Evaluation and Reliability Model for Benin City Power Distribution Network," American Journal of Engineering Research (AJER), vol. 6, no. 3, pp. 168-175, 2017.
[8]	G. S. R. D. A. Srujana, "Transient Stability Improvement of Multi-machine Power System Using Fuzzy Controlled TCSC," International Journal of Advancements in Research & Technology, Volume 1, Issue 2, July-2012, vol. 1, no. 2, pp. 2278-7763, 2012.
[9]	D. M. *Lekshmi M1, "A Review on Electrical Power System Contingency Ranking Using Artificial Intelligence Techniques," IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), vol. 12, no. 4, pp. 06-10, 2017.
[10]	A. R. d. G. d. S. Tiago Alencar, "Switches Allocation In Distribution Network Using Particle Swarm Optimization Based On Fuzzy Expert System," in 17th Power Systems Computation Conference, Stockholm Sweden, August 2011.
[11]	M. I. A. F. Yasser Gallal1, "Capacitor Allocation and Sizing for Distribution System via Fuzzy Technique," Global Advanced Research Journal of Engineering, Technology and Innovation (ISSN: 2315-5124) Vol. 2 (6) pp. 173-180, July, 2013, vol. 2, pp. 173-180, 2013.
[12]	S Chandrashekhar Reddy, P. V. N. Prasad, A. Jaya Laxmi “Reliability Improvement of Distribution System: A Hybrid Approach Based on GA and NN” International Journal of Soft Computing and Engineering (IJSCE) 2231-2307, Volume-2, Issue-6, January 2013.
[13]	Umar Abdi Geru “Reliability Analysis and Redesign of Power Distribution System (Case Study of Nazareth Distribution System)” International Journal of Innovative Science and Research Technology, 2456-2165, Volume 4, Issue 1, January – 2019.
[14]	“reliability assessment of distribution network with distributed generation based on bp neural network” paper open access, 2020.
[15]	Pragya Kirti Gupta, Rodolfo Martinsy, Saikat Chakarbartiz, Arya Devi Remanidevi “Improving Reliability and Quality of Supply (QoS) in Smart Distribution Network” 2016 IEEE.

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APA Style

Desta Tegegne Asradew. (2021). Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique. American Journal of Electrical and Computer Engineering, 5(2), 45-55. https://doi.org/10.11648/j.ajece.20210502.12

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ACS Style

Desta Tegegne Asradew. Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique. Am. J. Electr. Comput. Eng. 2021, 5(2), 45-55. doi: 10.11648/j.ajece.20210502.12

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AMA Style

Desta Tegegne Asradew. Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique. Am J Electr Comput Eng. 2021;5(2):45-55. doi: 10.11648/j.ajece.20210502.12

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@article{10.11648/j.ajece.20210502.12,
  author = {Desta Tegegne Asradew},
  title = {Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {5},
  number = {2},
  pages = {45-55},
  doi = {10.11648/j.ajece.20210502.12},
  url = {https://doi.org/10.11648/j.ajece.20210502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20210502.12},
  abstract = {This paper presents determination and allocation optimal number of sectionalizer switches using fuzzy based approach to improve the reliability of Berhan power distribution network. My intention to present in this study on the reliability assessment and method of improving reliability is that Debre Berhan power distribution network has frequent instructions. To improve customer reliability of power distribution system different methods can be used. Thus to complete this study MATLAB Simulink models of distribution network initial and optimal number of sectionalizer switch allocation are developed. Sheno 15kV feeder of the distribution network is selected for simulation studies to test the efficiency of the proposed approach. Simulation studies using ETAP software are carried out reliability indies of distribution network with and without optimal number of switch allocation. The simulation results show optimal allocation of sectionalizer switches improve the reliabity indices such as SAIFI, SAIDI and expected energy not supplied (EENS) and evaluates the reliability of Debre Berhan power distribution network using analytical techniques, software simulation and level of optimization achievable through the application optimal placement of switches. At the result of optimal placement of sectionalizers switches for sheno 15kV feeder SAIFI is improved by 12.76% and SAIDI are 41.61%. From the test result the proposed technique presents better interruption cost in comparison that of existing system 64,806.06$/yr. to 57,346.57$/yr. (which is 11.5% reduction) along with improvement in reliability indices and expected energy not supplied (EENS) was improved from 17828.014MWh/yr. to1533.75MWh/yr. (91.04%).},
 year = {2021}
}

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TY - JOUR
T1 - Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique
AU - Desta Tegegne Asradew
Y1 - 2021/08/02
PY - 2021
N1 - https://doi.org/10.11648/j.ajece.20210502.12
DO - 10.11648/j.ajece.20210502.12
T2 - American Journal of Electrical and Computer Engineering
JF - American Journal of Electrical and Computer Engineering
JO - American Journal of Electrical and Computer Engineering
SP - 45
EP - 55
PB - Science Publishing Group
SN - 2640-0502
UR - https://doi.org/10.11648/j.ajece.20210502.12
AB - This paper presents determination and allocation optimal number of sectionalizer switches using fuzzy based approach to improve the reliability of Berhan power distribution network. My intention to present in this study on the reliability assessment and method of improving reliability is that Debre Berhan power distribution network has frequent instructions. To improve customer reliability of power distribution system different methods can be used. Thus to complete this study MATLAB Simulink models of distribution network initial and optimal number of sectionalizer switch allocation are developed. Sheno 15kV feeder of the distribution network is selected for simulation studies to test the efficiency of the proposed approach. Simulation studies using ETAP software are carried out reliability indies of distribution network with and without optimal number of switch allocation. The simulation results show optimal allocation of sectionalizer switches improve the reliabity indices such as SAIFI, SAIDI and expected energy not supplied (EENS) and evaluates the reliability of Debre Berhan power distribution network using analytical techniques, software simulation and level of optimization achievable through the application optimal placement of switches. At the result of optimal placement of sectionalizers switches for sheno 15kV feeder SAIFI is improved by 12.76% and SAIDI are 41.61%. From the test result the proposed technique presents better interruption cost in comparison that of existing system 64,806.06$/yr. to 57,346.57$/yr. (which is 11.5% reduction) along with improvement in reliability indices and expected energy not supplied (EENS) was improved from 17828.014MWh/yr. to1533.75MWh/yr. (91.04%).
VL - 5
IS - 2
ER -

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Author Information

Desta Tegegne Asradew

Department of Electrical and Computer Engineering, University of Debre Berhan, Debre Berhan., Ethiopia

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APA Style

Desta Tegegne Asradew. (2021). Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique. American Journal of Electrical and Computer Engineering, 5(2), 45-55. https://doi.org/10.11648/j.ajece.20210502.12

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ACS Style

Desta Tegegne Asradew. Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique. Am. J. Electr. Comput. Eng. 2021, 5(2), 45-55. doi: 10.11648/j.ajece.20210502.12

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AMA Style

Desta Tegegne Asradew. Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique. Am J Electr Comput Eng. 2021;5(2):45-55. doi: 10.11648/j.ajece.20210502.12

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@article{10.11648/j.ajece.20210502.12,
  author = {Desta Tegegne Asradew},
  title = {Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {5},
  number = {2},
  pages = {45-55},
  doi = {10.11648/j.ajece.20210502.12},
  url = {https://doi.org/10.11648/j.ajece.20210502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20210502.12},
  abstract = {This paper presents determination and allocation optimal number of sectionalizer switches using fuzzy based approach to improve the reliability of Berhan power distribution network. My intention to present in this study on the reliability assessment and method of improving reliability is that Debre Berhan power distribution network has frequent instructions. To improve customer reliability of power distribution system different methods can be used. Thus to complete this study MATLAB Simulink models of distribution network initial and optimal number of sectionalizer switch allocation are developed. Sheno 15kV feeder of the distribution network is selected for simulation studies to test the efficiency of the proposed approach. Simulation studies using ETAP software are carried out reliability indies of distribution network with and without optimal number of switch allocation. The simulation results show optimal allocation of sectionalizer switches improve the reliabity indices such as SAIFI, SAIDI and expected energy not supplied (EENS) and evaluates the reliability of Debre Berhan power distribution network using analytical techniques, software simulation and level of optimization achievable through the application optimal placement of switches. At the result of optimal placement of sectionalizers switches for sheno 15kV feeder SAIFI is improved by 12.76% and SAIDI are 41.61%. From the test result the proposed technique presents better interruption cost in comparison that of existing system 64,806.06$/yr. to 57,346.57$/yr. (which is 11.5% reduction) along with improvement in reliability indices and expected energy not supplied (EENS) was improved from 17828.014MWh/yr. to1533.75MWh/yr. (91.04%).},
 year = {2021}
}

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