Optimal Placement of Auto Reclosers for Distribution System Considering Reliability in Attapeu Province Laos PDR

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Visanousanh Thepmahavong
Pirat Khunkitti
Chayada Surawanitkun
Apirat Siritaratiwat
Rongrit Chatthaworn

Abstract

In this paper, the method for selecting the optimal location of auto reclosers in distribution system considering system reliability is proposed. The Monte Carlo simulation (MCS) technique was utilized for evaluating the reliability of the distribution system. The MATLAB program is used to create the MCS model. In the MCS model, the exponential distribution function is used to generate time to failure (TTF) and time to repair (TTR) of each component in the distribution system in order to model the operation status profile of each component. The three reliability indices consisting of the system average interruption frequency index (SAIFI), the system average interruption duration index (SAIDI) and the energy not supplied (ENS) are taken into account in the process of optimal location evaluation of auto recloser. Moreover, the benefit-cost analysis of auto recloser installation considering the life cycle cost of the auto recloser and the system reliability is presented. Finally, in order to demonstrate the effectiveness of the proposed method, the IEEE Roy Billinton Test System BUS-4 (IEEE RBTS BUS-4) and the 22 kV distribution system of Electricite Due Laos in Attapeu province, Laos PDR is utilized. From the simulation results, it can be concluded that the auto reclosers should be located around the center of the distribution system

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Article Details

Section
Research Papers
Author Biographies

Pirat Khunkitti, Khon Kaen University

Department of Electrical Engineering,

Faculty of Engineering,

Khon Kaen University, Thailand

Chayada Surawanitkun, Khon Kaen University

Faculty of Applied Science and Engineering,

Khon Kaen University, Nong Khai Campus,

Nong Khai, Thailand

Apirat Siritaratiwat, Khon Kaen University

Department of Electrical Engineering,

Faculty of Engineering,

Khon Kaen University, Khon Kaen, Thailand

Rongrit Chatthaworn, Khon Kaen University

Department of Electrical Engineering,

Faculty of Engineering,

Khon Kaen University, Khon Kaen, Thailand

References

[1] X. LIANG and L. GOEL, Distribution system reliability evaluation using the Monte Carlo simulation method. Electric Power Syst. Res, 1997, vol. 40, no. 2, pp. 75–83.
[2] G. R.N ALLAN, R. BILLINTON, A.M BREIPOHL, Bibliography on the application of probability methods in power system reliability evaluation-1987-1991. IEEE Trans. Power System, Feb. 1994, vol. 9, no. 1, pp. 41–49.
[3] R. N. ALLAN and S. MEMBER, The IEEE reliability test system - extensions to and evaluation of the generating system. IEEE Trans. 1986, Vol. PWRS-1, no. 4, pp. 1–7,
[4] C. FONG, S. HADDAD, and D. PATTON, A report prepared by the Reliability test system task force* of the application of probability methods subcommittee. IEEE Reliab. Test Syst. - 1996, August – 1999, vol. 14, no. 3, pp 1010 - 1020.
[5] R. Billinton, A test system for teaching overall power system reliability assessment. IEEE Trans. Power Syst. 1996, vol. 11, no. 4, pp. 1670–1676.
[6] R. N. ALLAN, R. BILLINTON, I. SJARIEF, L. GOEL, and K. S. SO, A reliability test system for educational purposes-basic distribution system data and results. IEEE Trans. Power Syst., 1991, vol. 6, no. 2, pp. 813–820.
[7] R. BILLINTON, P. WANG, Reliability network equivalent approach to distribution system reliability evaluation. IEE Proc. - Gener. Transm. Distrib, 1998, vol. 145, no. 2, pp. 149–153.
[8] L. GOEL, R. BILLINTON, R. GUPTA, Basic data add evaluation of distribution system reliability worth. WESCANEX ’91 ’IEEE West. Canada Conf. Comput. Power Commun. Syst. a Rural Environ, 1991, vol. -, no. -, pp. 271–277.
[9] H. CHEN, A sequential simulation technique for adequacy evaluation of generating systems including wind energy. IEEE Transactions on Energy Conversion, 1996, Vol. 11, No. 4, pp. 728–734
[10] R. BILLINTON, A. SANKARAKRISHNAN, A comparison of Monte Carlo simulation on techniques for composite power system reliability assessment. In IEEE WESCANEX ’95 PROCEEDING, 1995, Vol.-, no.95, pp.145–150.
[11] A. SANKARAKRISHNAN, R. BILLINTON, Effective techniques for reliability worth assessment in composite power system networks using Monte Carlo simulation. IEEE Transaction on Power Systems, 1996, vol.11, no.3, pp.1255–1261.
[12] R. BILLINTON and P. WANG, Teaching Distribution System Reliability Evaluation Using Monte Carlo Simulation. IEEES Trans. Power Syst., 1999, vol. 14, no. 2, pp. 397–403.
[13] L. GOEL, Monte Carlo simulation based reliability studies of a distribution test system. Electr. Power Syst. Res., 2000, vol. 54, no. 1, pp. 55–65.
[14] T. M. ALJOHANI and M. J. BESHIR, Matlab code to assess the reliability of the smart power distribution system using monte carlo simulation. Journal of Power and Energy Engineering, 2017, vol. 5, no. -, pp. 30–44.
[15] A. ALAM, V. PANT, and B. DAS, Switch and recloser placement in distribution system considering uncertainties in loads, failure rates and repair rates. Electr. Power Syst. Res., 2016, vol. 140, pp. 619–630.
[16] R. Billinton, R. N. ALLAN, Reliability Evaluation of Power Systems. Consulting Editor. Plenum Press, New York: Book, 1996.
[17] R. Billinton, R. N. ALLAN, Reliability Assessment of Large Electric Power Systems. Second Edi. Plenum Press, New York: Book, 1987.
[18] S. ABDI, K. AFSHAR, S. AHMADI, N. BIGDELI, M. ABDI, Optimal recloser and autosectionalizer allocation in distribution networks using IPSO – Monte Carlo approach. Int. J. Electr. Power Energy Syst., 2014, vol. 55, pp. 602–611.
[19] V. MOLLICK. The Monte Carlo Simulation Method for System Reliability and Risk Analysis. Series Editor, Springer London Heidelberg New York Dordrecht, Book, 2003.
[20] W. LI. R. BILLINTON. Reliability Assessment of Electric Power Systems Using Monte Carlo Methods. vol. 91, 1994.
[21] Chowdhury, A. and Koval, D. (2009) Power Distribution System Reliability: Practical Methods and Applications. John Wiley and Sons, Hoboken. https://doi.org/10.1002/9780470459355
[22] Florida Electric Cooperatives Association (2012) Improving Network Reliability with reclosers. https://www.feca.com/RecloserTechnology.pdf