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Research Article |

Impact of System Average Interruption Duration Index Threshold on the Reliability Assessment of Electrical Power Distribution Systems

Author(s): Ganiyu Adedayo Ajenikoko* and Ridwan Abiola Oladepo

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 6, issue 2

Publisher : FOREX Publication

Published : 25 may 2018

e-ISSN : 2347-470X

Page(s) : 17-31

DOI: https://doi.org/10.37391/IJEER.060203

Abstract

System Average Interruption Duration Index (SAIDI) is one of the parametric indices used for assessment of the performance of electrical power network. It is the ratio of customers’ interruption duration to the total number of customers served. SAIDI threshold is used to determine the calendar days upon which either the system design limits or operational limits are exceeded. This research paper presents the impact of SAIDI threshold on the reliability assessment of electrical power distribution system. Data were collected from ten selected feeders of Ibadan distribution system for a period of five years. The daily SAIDI, natural logarithm of SAIDI, the log-average of SAIDI and the standard derivation of the logarithm of SAIDI were used as input parameters in the development of SAIDI threshold model. The result of the research paper shows that the SAIDI threshold values fluctuate over the years with the least and highest SAIDI threshold values as 2.11596 and 4.62518 respectively which were recorded in the months of September and April. The SAIDI thresholds in the months of January, February, March, April, May and June are 3.18318, 3.32458, 4.22242, 4.62518, 2.71360 and 3.27760 respectively suggesting an indefinite pattern in the SAIDI threshold as a result of unexpected interruptions experienced by customers attached to the distribution feeders. SAIDI threshold forms a basis for power system planning and maintenance strategies.

Keywords: SAIDI, Electrical power distribution systems, Threshold, SAIDI Threshold, Reliability, Interruption, Momentary interruptions.




Ganiyu Adedayo Ajenikoko*, Department of Electronic & Electrical Engineering, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria; Email: ajeedollar@gmail.com

Ridwan Abiola Oladepo, Department of Electronic & Electrical Engineering, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria

    [1] Sindi H and El-Saadany E. (2016). Unified reliability index development for utility performance assessment developing a novel normalization-based index and comparing it with a fuzzy inference unified index. Intell Journal of Industrial System, 2(3), 149–161.
    [2] Eminoglu U and Uyan R. (2016). Reliability analyses of electrical distribution system: a case study. International Refereed Journal of Engineering and Science, 5(12), 94-102.
    [3] Rajaiah S, Satyanarayana V.S and Srinivas K. (2015). Evaluation and analysis of customer specific distribution reliability indices. Control Theory and Informatics, 5(1), 16-23.
    [4] Okorire P.U, Aliyu U.O, Jimoh B and Sani S.M. (2015). Reliability indices of electric distribution network system assessment. Quest Journals Journal of Electronics and Communication Engineering Research, 3(1), 1-6.
    [5] Okorie P.U and Abdu A.I. (2015). Reliability evaluation of power distribution network system in Kano metropolis of Nigeria. International Journal of Electrical and Electronic Science, 2(1), 1-5.
    [6] Mohan C.V, Seetharam K and Raju H.B. P. (2015). Reliability Indices of Distribution system by Fuzzy Method. International Journal of Science, Engineering and Technology Research (IJSETR), 4(7), 2444-2446.
    [7] Das B and Deka B. (2013). Impact of distributed generation on reliability of distribution system. IOSR Journal of Electrical and Electronics Engineering, 8(1), 42-50.
    [8] Elsalmawy H, Youssef K, Abdulla S and Hussein S. (2011). Elementary evaluation of reliability indices for power system in Egypt. 21st International Conference on Electricity Distribution, 1(9), 1-4.
    [9] El-Kady M. A, Alaskar B. A, Shaalan A. M and Al-Shammri B.M. (2007). Composite reliability and quality assessment of interconnected power systems. IEEE Transactions on Power Systems, 11(5), 328-396.
    [10] Xiu-Ren L, Zhen R, Wen-Ying H and Bi-Yun C. (2005). Fussy reliability analysis of distribution systems accounting parameters uncertainty. In proceedings of the fourth international conference on machine learning cybernetics. 5(6), 90-109.
    [11] Enrico C and Gianfranco C. (2004). Evaluation of the probability density functions of distribution system reliability indices with a characteristic function-based approach. IEEE Transaction on power systems, 19(2), 31-57.
    [12] Balijepalli N. (2002). Advances in distribution system reliability assessment. Retrospective Theses Dissertation, Iowa State University, 6(8), 357-386.
    [13] Elena N. Z and Vitaly G. L. (2001). Design of dynamic reliability indices. IEEE Transactions on power systems, 18(5), 39-51.
    [14] Wang P, Billinton R and Goel L. (2000). Probability distribution evaluation of distribution system reliability indices using a time sequential simulation technique. John Wiley and Sons, Inc. 4(6), 65-71.
    [15] Kovalev G. F and Lebedeva L. M. (2000). A model for evaluating the reliability of electric power system for long-term operational planning. IEEE Transactions on Power Systems, 7(3), 118-134.

Ganiyu Adedayo Ajenikoko and Ridwan Abiola Oladepo (2018), Impact of System Average Interruption Duration Index Threshold on the Reliability Assessment of Electrical Power Distribution Systems. IJEER 6(2), 17-31. DOI: 10.37391/IJEER.060203.