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Customer Reliability Indices Evaluation of Umudike 11Kv Distribution Feeder

D. C. Oyiogu C. A. Obiora-okeke A. O. Aniagboso

Subject area: Science,Engineering and Technology  ·  Area of research: Electrical Engineering

Abstract

Reliability analysis is the evaluation of customer supply interruption probability for a given network configuration. Reliability analysis simulates and examines systematically all single and multiple failures, for every failure, the unsupplied loads, the interruption durations and the possibilities of power restoration are determined. A Power system is set up basically to meet the demands of the customers. However, interruptions which are largely unavoidable contribute to the unavailability of power and thus prevent power system from achieving this. In most cases, it is the sustained interruptions that greatly affect both the utility company and its customers. The need for stable electricity supply in Nigeria cannot be overemphasized as it is a pre-requisite to economic, social and technical development. The consequence of interruption of supply in the transmission system is considerably high because an outage event in the transmission system can propagate and paralyze a widespread geographical area. The collected data were analyzed mathematically to estimate the reliability of the substation and the customer reliability indices computed for a twelve-month period. It was observed that the substation was available for an average 61.45% which is very low compared to IEEE standard. Thus, the overall system availability shows that the system performance is poor.

References

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[2] M. Prýmek, A. Horák, R. Gono, & S. Rusek, ―Power Distribution Network Reliability Modeling Based on the Statistical Data and Multi-Agent Simulation‖. Brno, Czech Republic: Brno University of Technology, 2008.

[3] Buhari, M. (2016). Reliability assessment of ageing distribution cable for replacement in smart distribution systems (Doctoral dissertation, University of Manchester).

[4] J. Haakana, ―Impact of Reliability of Supply on Long-Term Development Approaches to Electricity Distribution Networks‖. ACTA Universitatis, Lappeenrantaensis, 2013.

[5] R. Gono, S. Rusek, & M. Kratky, (2007, October). ―Reliability Analysis of Distribution Networks‖. 9th International Conference on Electrical Power Quality and Utilization (EPQA, 2007), IEEE, (pp. 1-5), 2007.

[6] A. Sumper, A. Sudria, & F. Ferrer, ―International Reliability Analysis in Distribution Networks‖. CITCEA Report for ENDESA RED, Spain, pp. 32-36, 2005.

[7] N. Sabpayakom, & S. Sirisumrannukul, ―Power Losses Reduction and Reliability Improvement in Distribution System with Very Small Power Producers‖. Energy Procedia, vol. 100, pp. 388-395, 2016.

[8] Adegboye, B.A. and E. Dawal, (2012). Outage Analysis and System Integrity of an 11kV Distribution System. Advanced Material Research Vol. 367, 151-158.

[9] Uhunmwangho, R. and E. Omorogiuwa (December 2014). Reliability Prediction of Port Harcourt Electricity Distribution Network Using NEPLAN. The International Journal of Engineering and Science (IJES), Volume 3, Issue 12, 68-79.

[10] Billinton, R. and R. N. Allan, (1996). Reliability Evaluation of Power Systems. New York and London: Plenum Press.

[11] Dorji, T. (2009). Reliability Assessment of Distribution Systems- Including a case study on Wangdue Distribution System in Bhutan. Master Thesis, Department of Electrical Power Engineering Norwegian University of Science and Technology.

[12] Gonen, T. (2014). Electric Power Distribution Engineering. Boca Raton: CRC Press, Taylor and Francis Group

[13] R. E Brown, Electric Distribution System Reliability, Marcel Dekker, New York, 2002.

How to cite this paper

D. C. Oyiogu, C. A. Obiora-okeke, A. O. Aniagboso "Customer Reliability Indices Evaluation of Umudike 11Kv Distribution Feeder" Iconic Research And Engineering Journals Volume 7 Issue 9 2024 Page 145-151
D. C. Oyiogu, C. A. Obiora-okeke, A. O. Aniagboso "Customer Reliability Indices Evaluation of Umudike 11Kv Distribution Feeder" Iconic Research And Engineering Journals, vol. 7, no. 9, Mar. 2024
D. C. Oyiogu, C. A. Obiora-okeke, A. O. Aniagboso (2024). Customer Reliability Indices Evaluation of Umudike 11Kv Distribution Feeder. Iconic Research And Engineering Journals, 7(9).
D. C. Oyiogu, C. A. Obiora-okeke, A. O. Aniagboso "Customer Reliability Indices Evaluation of Umudike 11Kv Distribution Feeder" Iconic Research And Engineering Journals, vol. 7, no. 9, Mar. 2024.
@article{1705594,
      author = {D. C. Oyiogu, C. A. Obiora-okeke, A. O. Aniagboso},
      title = {Customer Reliability Indices Evaluation of Umudike 11Kv Distribution Feeder},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {9},
      pages = {145-151},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705594.pdf},
      abstract = {Reliability analysis is the evaluation of customer supply interruption probability for a given network configuration. Reliability analysis simulates and examines systematically all single and multiple failures, for every failure, the unsupplied loads, the interruption durations and the possibilities of power restoration are determined. A Power system is set up basically to meet the demands of the customers. However, interruptions which are largely unavoidable contribute to the unavailability of power and thus prevent power system from achieving this. In most cases, it is the sustained interruptions that greatly affect both the utility company and its customers. The need for stable electricity supply in Nigeria cannot be overemphasized as it is a pre-requisite to economic, social and technical development. The consequence of interruption of supply in the transmission system is considerably high because an outage event in the transmission system can propagate and paralyze a widespread geographical area. The collected data were analyzed mathematically to estimate the reliability of the substation and the customer reliability indices computed for a twelve-month period. It was observed that the substation was available for an average 61.45% which is very low compared to IEEE standard. Thus, the overall system availability shows that the system performance is poor.},
      month = {March},
  }