Research Article
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Year 2017, Volume: 35 Issue: 4, 717 - 726, 01.12.2017

Abstract

References

  • [1] M. Wadi, M. Baysal and A. Shobole, “Comparison between Open-Ring and Closed-Ring Grids Reliability,” in 4th International Conference on Electrical and Electronics Engineering, Ankara, 2017.
  • [2] M. Catelani, L. Ciani and M. Venzi, “Improved RBD analysis for reliability assessment in industrial application,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, 2014.
  • [3] C. Suthapanuna, P. Jirapongb, P. Bunchoo and P. Thararak, “Reliability Assessment Tool for Radial and Loop Distribution Systems Using DIgSILENT PowerFactory,” in 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Hua Hin, 2015.
  • [4] B. Canizes, J. Soares, Z. Vale and C. Lobo, “Optimal Approach for Reliability Assessment in Radial Distribution Networks,” IEEE Systems Journal, vol. PP, no. 99, pp. 1-11, 2015.
  • [5] O. Shavuka, K. Awodele, S. Chowdhury and S. Chowdhury, “Reliability analysis of distribution networks,” in International Conference on Power System Technology (POWERCON), Hangzhou, 2010.
  • [6] M. Jirgl, Z. Bardac, K. Stibor and M. Havlikova, “Reliability analysis of systems with a complex structure using Monte Carlo approach,” in 12th IFAC Conference on Programmable Devices and Embedded Systems, Velke Karlovice, 2013.
  • [7] M. Catelani, L. Ciani and M. Venzi, “Reliability assessment for complex systems: A new approach based on RBD models,” in IEEE International Symposium on Systems Engineering (ISSE), Rome, 2015.
  • [8] M. Catelani, L. Ciani and M. Venzi, “Reliability assessment for complex systems: A new approach based on RBD models,” in IEEE International Symposium on Systems Engineering (ISSE), Rome, 2015.
  • [9] A. Chowdhury, “Distribution system risk assessment based on historical reliability performance,” in IEEE International Conference on Electro Information Technology, Lincoln, 2005.
  • [10] A. A. Chowdhury and D. O. Koval, Power Distribution System Reliability, Practical Methods and Applications, Canada: John Wiley & Sons, Inc., 2009.
  • [11] A. Tio and I. Cruz, “A binary formulation of SAIDI for the predictive reliability assessment of radial distribution systems with tie-lines,” in IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kowloon, 2013.
  • [12] M. I. Ridwan, K. L. Yen, I. A. Musa and B. Yunus, “Reliability and availability assessment of transmission overhead line protection system using reliability block diagram,” in IEEE International Conference onPower and Energy (PECon), Kuala Lumpur, 2010.
  • [13] R. A. Billinton, Reliability Evaluation of Power Systems, New York: Springer US, 1996.
  • [14] L. L. Eng and V. N. Min, “Special Load Shedding Scheme to Enhance System Stability of Small Power System,” in International Conference on Power System Technology, Chongqing, 2006.
  • [15] M. Attia, S. M. Senouci and E.-H. Aglzim, “New optimization and security approaches to enhance the Smart Grid performance and reliability,” in 7th International Conference on the Network of the Future (NOF), Buzios, 2016.

RELIABILITY ASSESSMENT OF RADIAL NETWORKS VIA MODIFIED RBD ANALYTICAL TECHNIQUE

Year 2017, Volume: 35 Issue: 4, 717 - 726, 01.12.2017

Abstract

Reliability evaluation based on two basic methods namely, historical assessment and predictive assessment. In addition, predictive reliability techniques used in power system analysis can be divided into two main categories: analytical analysis and simulation analysis. In analytical techniques, the reliability indices are calculated directly from a simplified mathematical model that represent the system. Reliability Block Diagram is basically used to assess the reliability of networks contain only one source and one load. The main contribution of this paper that develops Reliability Block Diagram as an analytical technique to assess the radial networks reliability with one source and multiple loads in combinations with failure mode and effect analysis technique. To show the applicability of the proposed technique, a numerical example with three different case studies is investigated. Modified Reliability Block Diagram technique is appropriate for radial networks with multiple load points, simpler and more applicable than other analytical techniques such as Markov Analysis and Fault Tree Analysis.

References

  • [1] M. Wadi, M. Baysal and A. Shobole, “Comparison between Open-Ring and Closed-Ring Grids Reliability,” in 4th International Conference on Electrical and Electronics Engineering, Ankara, 2017.
  • [2] M. Catelani, L. Ciani and M. Venzi, “Improved RBD analysis for reliability assessment in industrial application,” in IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Montevideo, 2014.
  • [3] C. Suthapanuna, P. Jirapongb, P. Bunchoo and P. Thararak, “Reliability Assessment Tool for Radial and Loop Distribution Systems Using DIgSILENT PowerFactory,” in 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Hua Hin, 2015.
  • [4] B. Canizes, J. Soares, Z. Vale and C. Lobo, “Optimal Approach for Reliability Assessment in Radial Distribution Networks,” IEEE Systems Journal, vol. PP, no. 99, pp. 1-11, 2015.
  • [5] O. Shavuka, K. Awodele, S. Chowdhury and S. Chowdhury, “Reliability analysis of distribution networks,” in International Conference on Power System Technology (POWERCON), Hangzhou, 2010.
  • [6] M. Jirgl, Z. Bardac, K. Stibor and M. Havlikova, “Reliability analysis of systems with a complex structure using Monte Carlo approach,” in 12th IFAC Conference on Programmable Devices and Embedded Systems, Velke Karlovice, 2013.
  • [7] M. Catelani, L. Ciani and M. Venzi, “Reliability assessment for complex systems: A new approach based on RBD models,” in IEEE International Symposium on Systems Engineering (ISSE), Rome, 2015.
  • [8] M. Catelani, L. Ciani and M. Venzi, “Reliability assessment for complex systems: A new approach based on RBD models,” in IEEE International Symposium on Systems Engineering (ISSE), Rome, 2015.
  • [9] A. Chowdhury, “Distribution system risk assessment based on historical reliability performance,” in IEEE International Conference on Electro Information Technology, Lincoln, 2005.
  • [10] A. A. Chowdhury and D. O. Koval, Power Distribution System Reliability, Practical Methods and Applications, Canada: John Wiley & Sons, Inc., 2009.
  • [11] A. Tio and I. Cruz, “A binary formulation of SAIDI for the predictive reliability assessment of radial distribution systems with tie-lines,” in IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kowloon, 2013.
  • [12] M. I. Ridwan, K. L. Yen, I. A. Musa and B. Yunus, “Reliability and availability assessment of transmission overhead line protection system using reliability block diagram,” in IEEE International Conference onPower and Energy (PECon), Kuala Lumpur, 2010.
  • [13] R. A. Billinton, Reliability Evaluation of Power Systems, New York: Springer US, 1996.
  • [14] L. L. Eng and V. N. Min, “Special Load Shedding Scheme to Enhance System Stability of Small Power System,” in International Conference on Power System Technology, Chongqing, 2006.
  • [15] M. Attia, S. M. Senouci and E.-H. Aglzim, “New optimization and security approaches to enhance the Smart Grid performance and reliability,” in 7th International Conference on the Network of the Future (NOF), Buzios, 2016.
There are 15 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Mohammed Wadı 0000-0001-8928-3729

Mustafa Baysal This is me 0000-0002-6298-918X

Publication Date December 1, 2017
Submission Date March 1, 2017
Published in Issue Year 2017 Volume: 35 Issue: 4

Cite

Vancouver Wadı M, Baysal M. RELIABILITY ASSESSMENT OF RADIAL NETWORKS VIA MODIFIED RBD ANALYTICAL TECHNIQUE. SIGMA. 2017;35(4):717-26.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/