American Journal of Electrical and Computer Engineering

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Reliability Assessment and Optimal Placement of Switches in Electric Power Distribution System by Using PSO

Received: Jun. 03, 2021    Accepted: Oct. 30, 2021    Published: Oct. 18, 2022
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Abstract

Reliable electric power supply is a pillar perquisite for technological, social, political and economic development of any nation. Modernization and developing in every aspect without reliable electric power supply is un predictable. Here in our country Ethiopian has a serious power interruption problem because of unwanted very high outage frequency and longtime system restoration. Due to this, utilities must strive and ensure that the customer’s reliability requirements are met and the regulators requirements satisfied at the lowest possible cost. In this paper the reliability assessment is done on both 15kV Ankober electric power system to assess the performance of the existing system and also predictive reliability improvement for the future system considering distribution system reconfiguration (optimal coordination of switches) and by de. For predictive reliability and power quality improvement binary particle swarm optimization has been applied which delivers optimal number and optimal placement of switches on the selected The placement of switches in strategic places reduces the outage time in case of interruption, and improves the reliability of the network. There are many measures to assess the reliability of distribution network. The most common measures are expected outage cost (ECOST), system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), in this paper the focus of reliability measure is the impact of energy not supplied and its cost. To solve the problem of number of sectionalizes switches allocation a binary particle swarm optimization (BPSO) method has been selected. To illustrate the performance a proposed algorithm, an actual 15kV Ankober feeder of Debre Berhan distribution system was selected as the test system. As the result the optimal number and placement of sectionalizes switches changed from S8, S18, S22, and S26 to [S13, S19, S21, S26, S31, S33, S35, S39, S42] and the existing energy not supplied (EENS) can be improved 391.705 kW to 306.4322 kW.

DOI 10.11648/j.ajece.20220602.14
Published in American Journal of Electrical and Computer Engineering ( Volume 6, Issue 2, December 2022 )
Page(s) 81-90
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 Reliabity Assessment, Sectionalizer Switches, PSO

References
[1] A. F. K. Kirubarani, "Distribution System Reliability Assessment for Improved Feeder Configurations," International Journal of Engineering and Advanced Technology (IJEAT), vol. 8, no. 6, August 2019.
[2] 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.
[3] "Improving Reliability and Quality of Supply (QoS) in Smart Distribution Network," IEEE, 2016.
[4] 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), vol. 2, no. 6, pp. 2231-2307, January 2013.
[5] Kahouli O, Alsaif H, Bouteraa Y, Ben Ali N, Chaabene M. Power System Reconfiguration in Distribution Network for Improving Reliability Using Genetic Algorithm and Particle Swarm Optimization. Applied Sciences. 2021; 11 (7): 3092.
[6] Mrs. Virali. P. Shah, "Fuzzy Logic Based Power Quality Improvement Using Shuntactive Filter," International Journal of Engineering Development and Research, vol. 2, no. 2, 2014.
[7] A. G. G. a. L. M. I. J. N. Nweke, "RELIABILITY AND PROTECTION IN DISTRIBUTION POWER SYSTEM CONSIDERING CUSTOMER-BASED INDICES," Nigerian Journal of Technology (NIJOTECH), vol. 39, no. 4, p. 1198 – 1205, October 2020.
[8] 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.
[9] K. R. Karhikeyan, "Power System Reliability improvement by proper application of Problem Solving Tool," International Journal of Engineering and Techniques, vol. 3, no. 2, March-April 2017.
[10] Reliability Analysis of Distribution System using ETAP, (IJCSIS) International Journal of Computer Science and Information Security, vol. 15, no. 3, 2017.
[11] 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.
[12] A. J. B. Rojas, "Service Restoration and Switch Allocation in Power Distribution Networks," May 2010.
[13] O. C. Ibe, “Markov Processes for Stochastic Modeling”, Elsevier, 2009.
[14] U. A. Geru, "Reliability Analysis and Redesign of Power Distribution System (Case Study of Nazareth Distribution System)," International Journal of Innovative Science and Research Technology, vol. 4, no. 1, p. January – 2019, January – 2019.
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    Desta Tegegne Asradew. (2022). Reliability Assessment and Optimal Placement of Switches in Electric Power Distribution System by Using PSO. American Journal of Electrical and Computer Engineering, 6(2), 81-90. https://doi.org/10.11648/j.ajece.20220602.14

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    ACS Style

    Desta Tegegne Asradew. Reliability Assessment and Optimal Placement of Switches in Electric Power Distribution System by Using PSO. Am. J. Electr. Comput. Eng. 2022, 6(2), 81-90. doi: 10.11648/j.ajece.20220602.14

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    AMA Style

    Desta Tegegne Asradew. Reliability Assessment and Optimal Placement of Switches in Electric Power Distribution System by Using PSO. Am J Electr Comput Eng. 2022;6(2):81-90. doi: 10.11648/j.ajece.20220602.14

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  • @article{10.11648/j.ajece.20220602.14,
      author = {Desta Tegegne Asradew},
      title = {Reliability Assessment and Optimal Placement of Switches in Electric Power Distribution System by Using PSO},
      journal = {American Journal of Electrical and Computer Engineering},
      volume = {6},
      number = {2},
      pages = {81-90},
      doi = {10.11648/j.ajece.20220602.14},
      url = {https://doi.org/10.11648/j.ajece.20220602.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajece.20220602.14},
      abstract = {Reliable electric power supply is a pillar perquisite for technological, social, political and economic development of any nation. Modernization and developing in every aspect without reliable electric power supply is un predictable. Here in our country Ethiopian has a serious power interruption problem because of unwanted very high outage frequency and longtime system restoration. Due to this, utilities must strive and ensure that the customer’s reliability requirements are met and the regulators requirements satisfied at the lowest possible cost. In this paper the reliability assessment is done on both 15kV Ankober electric power system to assess the performance of the existing system and also predictive reliability improvement for the future system considering distribution system reconfiguration (optimal coordination of switches) and by de. For predictive reliability and power quality improvement binary particle swarm optimization has been applied which delivers optimal number and optimal placement of switches on the selected The placement of switches in strategic places reduces the outage time in case of interruption, and improves the reliability of the network. There are many measures to assess the reliability of distribution network. The most common measures are expected outage cost (ECOST), system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), in this paper the focus of reliability measure is the impact of energy not supplied and its cost. To solve the problem of number of sectionalizes switches allocation a binary particle swarm optimization (BPSO) method has been selected. To illustrate the performance a proposed algorithm, an actual 15kV Ankober feeder of Debre Berhan distribution system was selected as the test system. As the result the optimal number and placement of sectionalizes switches changed from S8, S18, S22, and S26 to [S13, S19, S21, S26, S31, S33, S35, S39, S42] and the existing energy not supplied (EENS) can be improved 391.705 kW to 306.4322 kW.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Reliability Assessment and Optimal Placement of Switches in Electric Power Distribution System by Using PSO
    AU  - Desta Tegegne Asradew
    Y1  - 2022/10/18
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    DO  - 10.11648/j.ajece.20220602.14
    T2  - American Journal of Electrical and Computer Engineering
    JF  - American Journal of Electrical and Computer Engineering
    JO  - American Journal of Electrical and Computer Engineering
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    PB  - Science Publishing Group
    SN  - 2640-0502
    UR  - https://doi.org/10.11648/j.ajece.20220602.14
    AB  - Reliable electric power supply is a pillar perquisite for technological, social, political and economic development of any nation. Modernization and developing in every aspect without reliable electric power supply is un predictable. Here in our country Ethiopian has a serious power interruption problem because of unwanted very high outage frequency and longtime system restoration. Due to this, utilities must strive and ensure that the customer’s reliability requirements are met and the regulators requirements satisfied at the lowest possible cost. In this paper the reliability assessment is done on both 15kV Ankober electric power system to assess the performance of the existing system and also predictive reliability improvement for the future system considering distribution system reconfiguration (optimal coordination of switches) and by de. For predictive reliability and power quality improvement binary particle swarm optimization has been applied which delivers optimal number and optimal placement of switches on the selected The placement of switches in strategic places reduces the outage time in case of interruption, and improves the reliability of the network. There are many measures to assess the reliability of distribution network. The most common measures are expected outage cost (ECOST), system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), in this paper the focus of reliability measure is the impact of energy not supplied and its cost. To solve the problem of number of sectionalizes switches allocation a binary particle swarm optimization (BPSO) method has been selected. To illustrate the performance a proposed algorithm, an actual 15kV Ankober feeder of Debre Berhan distribution system was selected as the test system. As the result the optimal number and placement of sectionalizes switches changed from S8, S18, S22, and S26 to [S13, S19, S21, S26, S31, S33, S35, S39, S42] and the existing energy not supplied (EENS) can be improved 391.705 kW to 306.4322 kW.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Department of Electrical and Computer Engineering, University of Debre Berhan, Debre Berhan, Ethiopia

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