Preview

Dependability

Advanced search

Customer Orientated Indices and Reliability Evaluation of Meshed Power Distribution System

https://doi.org/10.21683/1729-2646-2023-23-4-8-14

Abstract

Aim. Reliability evaluation of a system or component or element is very important in order to predict its availability and other relevant indices. Reliability is the parameter which tells about the availability of the system under proper working conditions for a given period of time. The study of different reliability indices are very important considering the complex and uncertain nature of the power system. In this paper reliability evaluation of the meshed distribution system is presented. This paper also evaluates basic indices such as average failure rate, average outage time and average annual outage time. Along with basic indices, customer orientated indices such as system average interruption frequency index, system average interruption duration index and customer average interruption duration index of an electrical power distribution system is also evaluated. The electrical power distribution system taken for study is meshed distribution system in nature.

Aditya Tiwary. "Customer Orientated Indices and Reliability Evaluation of Meshed Power Distribution System" Reliability: Theory & Applications, vol. 15, no. 1, 2020, pp. 10-19. doi:10.24411/1932-2321-2020-11001

About the Author

Tiwary Aditya
IPS Academy, Institute of Engineering and science
India

Aditya Tiwary - PhD, Associate Professor, Dept. of Fire Technology & Safety Engineering.

Rajendra Nagar, Indore (M.P)



References

1. Singh C. Markov cut-set approach for the reliability evaluation of transmission and distribution systems. IEEE Trans. on Power Apparatus and Systems 1981;100:27192725.

2. Billinton R. Composite system reliability evaluation. IEEE Trans. On Power Apparatus and Systems 1969;88:276-281.

3. Wojczynski E., Billinton R. Effects of distribution system reliability index distributions upon interruption cost/ reliability worth estimates. IEEE Trans. on Power Apparatus and Systems 1985;11:3229-3235.

4. Verma A.K., Srividya A., Kumar H.M.R. A framework using uncertainties in the composite power system reliability evaluation. Electric Power Components and Systems 2002;30:679-691.

5. Zheng Z., Cui L., Hawkes A.G. A study on a single-unit Markov repairable system with repair time omission. IEEE Trans. on Reliability 2006;55:182-188.

6. Jirutitijaroen P., Singh C. Comparison of simulation methods for power system reliability indexes and their distributions. IEEE Trans. on Power Systems 2008;23:486-493.

7. Dzobe O., Gaunt C.T., Herman R. Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems. Int. J. of Electrical Power and Energy Systems 2012;37:110-116.

8. Bae I.S., Kim J.O. Reliability evaluation of customers in a microgrid. IEEE Trans. on Power Systems 2008;23:1416-1422.

9. Billinton R., Wang P. Reliability-network-equivalent approach to distribution-system-reliability evaluation. IEE Proc. generation, transmission and distribution 1998;145:149-153.

10. Arya L.D., Choube S.C., Arya R. et al. Evaluation of Reliability indices accounting omission of random repair time for distribution systems using Monte Carlo simulation. Int. J. of Electrical Power and Energy System (ELSEVIER) 2012;42:533-541.

11. Tiwary A., Arya R., Choube S.C. et al. Determination of Optimum period between Inspections for Distribution system based on Availability Accounting Uncertainties in Inspection Time and Repair Time. Journal of The Institution of Engineers (India): series B (Springer) 2012;93:67-72.

12. Jirutitijaroen P., Singh C. Comparison of simulation methods for power system reliability indexes and their distribution. IEEE Trans. Power Syst. 2008;23:486-92.

13. Tiwary A., Arya R., Choube S.C. et al. Determination of reliability indices for distribution system using a state transition sampling technique accounting random down time omission. Journal of The Institution of Engineers (India): series B (Springer) 2013;94:71-83.

14. Tiwary A., Arya L.D., Arya R. et al. Inspection repair based availability optimization of distribution systems using Teaching Learning based Optimization. Journal of The Institution of Engineers (India): series B (Springer) 2016;97:355-365.

15. Tiwary A., Arya R., Arya L.D. et al. Bootstrapping based technique for evaluating reliability indices of RBTS distribution system neglecting random down time. The IUP Journal of Electrical and Electronics Engineering 2017;X:48-57.

16. Volkanavski A., Cepin M., Mavko B. Application of fault tree analysis for assessment of the power system reliability. Reliab. Eng. Syst. Safety 2009;94:1116-1127.

17. Li B.M., Su C.T., Shen C.L. The impact of covered overhead conductors on distribution reliability and safety. Int. J. Electr. Power. Energy Syst. 2010;32:281-289.

18. Tiwary A. Reliability enhancement of distribution system using Teaching Learning based optimization considering customer and energy based indices. International Journal on Future Revolution in Computer Science & Communication Engineering 2017;3:58-62.

19. Tiwary A. Self-Adaptive Multi-Population Jaya Algorithm based Reactive Power Reserve Optimization Considering Voltage Stability Margin Constraints. International Journal on Future Revolution in Computer Science & Communication Engineering 2018;4:341-345.

20. Arya R., Tiwary A., Choube S.C. et al. A smooth bootstrapping based technique for evaluating distribution system reliability indices neglecting random interruption duration. Int. J. of Electrical Power and Energy System (ELSEVIER) 2013;51:307-310.

21. BinLi M., TzongSu C., LungShen C. The impact of covered overhead conductors on distribution reliability and safety. Int. J. of Electrical Power and Energy System (ELSEVIER) 2010;32:281-289.

22. Sarantakos I., Greenwood D.M., Yi J. et al. A method to include component condition and substation reliability into distribution system reconfiguration. Int. J. of Electrical Power and Energy System (ELSEVIER) 2019;109:122-138.

23. Battu N.R., Abhyankar A.R., Senroy N. Reliability Compliant Distribution System Planning Using Monte Carlo Simulation. Electric power components and systems 2019;47:985-997.

24. Tiwary A. Reliability evaluation of radial distribution system – A case study. Int. J. of Reliability: Theory and Applications 2019;14;4(55):9-13.

25. Uspensky M. Reliability assessment of the digital relay protection system. Int. J. of Reliability: Theory and Applications 2019;14(3):10-17.

26. Sharma A., Kumar P. Analysis of reliability measures of two identical unit system with on switching device and imperfect coverage. Int. J. of Reliability: Theory and Applications 2019;14:44-52.


Review

For citations:


Aditya T. Customer Orientated Indices and Reliability Evaluation of Meshed Power Distribution System. Dependability. 2023;23(4):8-14. (In Russ.) https://doi.org/10.21683/1729-2646-2023-23-4-8-14

Views: 247


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)