Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2020 / Cilt: 38 - Sayı: 3

HISTORICAL AND MONTE CARLO SIMULATION-BASED RELIABILITY ASSESSMENT OF POWER DISTRIBUTION SYSTEMS

Pages
1527–1540
Publication Date
2021-10-05
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that the proposed reliability assessment methodology is a powerful tool for the future reliability assessment of power distribution grids.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Historical reliability assessment, which is based on past real data, is vital for utilities since it reflects the system's operational behavior best.
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Key Findings & Data:This paper includes two major parts; the first part analyses the historical data for four feeders sector of the Bosporus Electricity Distribution Incorporated distribution grid based on their historical collected data, while, the second part of the paper uses the analyzed historical data as a reference input for the Monte Carlo simulation method to assess the future reliability analysis.
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Conclusion & Impact:The results show that the proposed reliability assessment methodology is a powerful tool for the future reliability assessment of power distribution grids.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Power system reliability · historical assessment · Monte Carlo Method

Abstract

Historical reliability assessment, which is based on past real data, is vital for utilities since it reflects the system's operational behavior best. Therefore, most utilities prefer historical reliability assessment rather than a predictive assessment. This paper includes two major parts; the first part analyses the historical data for four feeders sector of the Bosporus Electricity Distribution Incorporated distribution grid based on their historical collected data, while, the second part of the paper uses the analyzed historical data as a reference input for the Monte Carlo simulation method to assess the future reliability analysis. The results show that the proposed reliability assessment methodology is a powerful tool for the future reliability assessment of power distribution grids.

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Cite This Article

WADI, M., BAYSAL, M., SHOBOLE, A., TUR, M. R. X. M. R. (2021). HISTORICAL AND MONTE CARLO SIMULATION-BASED RELIABILITY ASSESSMENT OF POWER DISTRIBUTION SYSTEMS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 38 - Sayı: 3, 1527–1540. https://ajindex.com/articles/419088

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References (14)

  1. Bollington R. Reliability evaluation of power systems, New York: Plenum Press, 1984
  2. Chowdhury A. Distribution system risk assessment based on historical reliability performance. IEEE 2005; 1-7
  3. Balijepalli N. Advances in distribution system reliability assessment. Ph.D., Iowa State University, USA, 2002
  4. Feng Z. Electric distribution system risk assessment using actual utility reliability data. MSc, University of Saskatchewan, Canada, 2006
  5. Wallnerstrom C. J. On risk management of electrical distribution systems and the impact of regulations. BSc, KTH-Royal Institute of Technology, Stockholm, 2008
  6. Chowdhury A. Distribution system risk assessment based on historical reliability performance. IEEE Transactions on Power Systems; 2004
  7. Cadini F, Agliardi G. L, Zio E. A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions. Applied Energy, 2016; 185: 267-279
  8. Silva E. N, Rodrigues A. B, Silva M. Stochastic assessment of the impact of photovoltaic distributed generation on the power quality indices of distribution networks. Electric Power Systems Research; 2016; 135:59-67
  9. Jirgl M, Stibor Z, Havlikova M. Reliability analysis of systems with a complex structure using Monte Carlo approach systems. In: 12th IFAC Conference on Programmable Devices and Embedded; 2013; Velke Karlovice, pp. 461-466
  10. Ali D, Chowdhury A. Power distribution system reliability, practical methods, and applications, Canada: John Wiley & Sons, Inc., 2009
  11. Ozay A. Design and implementation of a feeder automation system for distribution networks. In: PowerTech Budapest 99. International Conference; 29 Aug.- 2 Sep. 1999; Budapest
  12. Suthapanun C, Jirapong P, Bunchoo P. reliability assessment tool for radial and loop distribution systems using DIgSILENT Power Factory. In: IEEE 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON); 24-27 June 2015; IEEE. pp. 1-6
  13. Naggar R, Langheit C, Dallaire J. Distribution systems reliability assessment, a new approach for new planning requirements. In: 18th International Conference on Electricity Distribution; 6-9 June 2015; Turin: CIRED
  14. Sagar E. Prasad P. Reliability improvement of radial distribution system with smart grid technology. In: Proceedings of the World Congress on Engineering and Computer