Клиентоориентированные индексы и оценка надежности сложнозамкнутой системы распределения электроэнергии

Цель. Оценка надежности системы, компонента или элемента очень важна в контексте прогнозирования ее готовности и других важных показателей. Надежность – это параметр, который является свидетельством готовности системы при надлежащих условиях эксплуатации в течение заданного периода времени. Исследование различных показателей надежности очень важно, учитывая сложную и неопределенную природу энергосистемы. В настоящей работе представлена оценка надежности сложнозамкнутой распределительной системы. В работе также проводится оценка основных показателей, включая среднюю интенсивность отказов, среднее время отказа и среднее время отказа в год. Наряду с основными показателями оцениваются также такие клиентоориентированные показатели системы распределения электроэнергии, как индекс средней частоты прерываний энергоснабжения, индекс средней длительности прерываний энергоснабжения и индекс средней длительности прерывания энергоснабжения потребителя. В качестве примера системы распределения электроэнергии взята сложнозамкнутая распределительная система.

1. Singh C. Markov cut-set approach for the reliability evaluation of transmission and distribution systems // IEEE Trans. on Power Apparatus and Systems. 1981. Vol. 100. Pp. 2719-2725.

2. Billinton R. Composite system reliability evaluation // IEEE Trans. On Power Apparatus and Systems. 1969. Vol. 88. Pp. 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, 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. Vol. 30. Pp. 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. Vol. 55. Pp. 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. Vol. 23. Pp. 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. Vol. 37. Pp. 110-116.

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

9. Billinton R., Wang P. Reliability-network-equivalent approach to distribution-system-reliability evaluation. IEE Proc. generation, transmission and distribution. 1998. Vol. 145. Pp. 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. Vol. 42. Pp. 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. Vol. 93. Pp. 67-72.

12. Jirutitijaroen P., Singh C. Comparison of simulation methods for power system reliability indexes and their distribution // IEEE Trans. Power Syst. 2008. Vol. 23. Pp. 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. Vol. 94. Pp. 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. Vol. 97. Pp. 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. Vol. X. Pp. 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. Vol. 94. Pp. 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. Vol. 32. Pp. 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. Vol. 3. Pp. 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. Vol. 4. Pp. 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. Vol. 51. Pp. 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. Vol. 32. Pp. 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. Vol. 109. Pp. 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. Vol. 47. Pp. 985-997.

24. Tiwary A. Reliability evaluation of radial distribution system – A case study // Int. J. of Reliability: Theory and Applications. 2019. Vol. 14. No. 4(55). Pp. 9-13.

25. Uspensky M. Reliability assessment of the digital relay protection system // Int. J. of Reliability: Theory and Applications. 2019. Vol. 14. No. 3. Pp. 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. Vol. 14. Pp. 44-52.