An Overview on Reliability Analysis and Evaluation Methods Applied to Smart Grids

Year 2021, Volume: 9 Issue: 4, 645 - 660, 29.12.2021

Melih Bilgen Necmi Altın

https://doi.org/10.29109/gujsc.981235

Cited By: 2

Abstract

The reliability can be defined as to carry out predefined requirements in a predefined duration. The importance of reliability analysis increases day by day as the customers become more conscious about a product or service which they buy. The application area of reliability analysis is very wide. Any product\ system or service including smart grids can be subject of the reliability analysis. As power system technology and computer science improving, the concept of smart grids begins to take part in our lives. Therefore, it is very essential to make reliability analysis for smart grids. In this paper, reliability analysis methods applied to smart grids are focused on and the classifications in reliability analysis have been explained. Besides, distribution networks reliability concept and different methods such as simulation and analytical approaches to assess the reliability have been introduced. The applications of these methods on smart grids are well explained. In addition to these, smart grids and conventional grid is compared. Different approaches such as tree analysis, failure mode effect analysis, Markov process and Monte Carlo simulation methods are carried out with wind turbines.

Keywords

Smart grids, reliability analysis, evaluation methods

References

• [1] A. Avizienis, J. Laprie, B. Randell and C. Landwehr, "Basic concepts and taxonomy of dependable and secure computing," IEEE Transactions on Dependable and Secure Computing, vol. 1, pp. 11-33, 2004.
• [2] E. Arteaga and A. Soubra, "Reliability Analysis Methods," University of Nantes-GeM Laboratory, Nantes, 2014.
• [3] "Weibull," [Online]. Available: https://www.weibull.com/basics/reliability.htm. [Accessed 5 7 2020].
• [4] S. S. Reka and T. Dragicevic, "Future effectual role of energy delivery: A comprehensive review of internet of things and smart grid," Renewable and Sustainable Energy Reviews, vol. 91, pp. 90-108, 2018.
• [5] K. Moslehi and R. Kumar, "A Reliability Perspective of the Smart Grid," IEEE Transactions on Smart Grid, vol. 1, no. 1, pp. 57-64, 2010.
• [6] P. Hines, V. Jason and B. Tivnan, "Smart Grid: Reliability, Security, and Reslieincy," University of Vermont, 2014.
• [7] "Glossary of Terms Used in NERC Reliability Standards," NERC, 2020.
• [8] E. Fuchs and M. Masoum, Power Quality in Power Systems and Electrical Machines, Academic Press, 2015.
• [9] A. Sanghvi, Cost-benefit analysis of power system reliability: Determination of interruption costs, Academic Press, 1990.
• [10] "Estimating the Economically Optimal Planning Reserve Margin," El Paso Electric Co., 2015.
• [11] "Hearings Before the Subcommittee on Energy Regulation of the Committee on Energy and Natural Resources, United States Senate, Ninety-sixth Congress," Committee on Energy and Natural Resources. Subcommittee on Energy Regulation, 1979.
• [12] A. Heidari, "Reliability Analysis of Power Distribution System in Presence of Distributed Generation Units," The University of New South Wales, Sydney, 2015.
• [13] M. Wadi and M. Baysal, "Reliability Evaluation in Smart Grids via Modified Monte Carlo Simulation Method," in ICRERA, Paris, 2018.
• [14] R. Billinton and L. Gan, "Use of Monte Carlo simulation in teaching generating capacity adequacy assessment," IEEE Transactions on Power Systems, vol. 6, no. 4, pp. 1571 - 1577, 1991.
• [15] C. Singh and J. Mitra, "Monte Carlo Simulation for Reliability Analysis of Emergency and Standby Power Systems," in IEEE Industry Applications Conference, Thirtieth IAS Annual Meeting, Orlando, 1995.
• [16] "IEEE Guide for Electric Power Distribution Reliability Indices," IEEE Std 1366-2012 (Revision of IEEE Std 1366-2003), pp. 1-43, 2012.
• [17] A. M. Giacomoni, S. Y. Goldsmith, S. M. Amin and B. F. Wollenberg, "Analysis, modeling, and simulation of autonomous microgrids with a high penetration of renewables," in IEEE Power and Energy Society General Meeting, San diego, 2012.
• [18] R. Billinton and W. Li, Reliability assessment of electric power system using Monte Carlo methods, New York: Plenum Press, 1994.
• [19] Y. Hegazy, M. Salama and A. Chikhani, "Adequacy assessment of distributed generation systems using monte carlo simulation," IEEE Transactions on Power Systems, vol. 18, no. 1, pp. 48-52, 2003.
• [20] W. S. Lee, D. L. Grosh, F. A. Tillman and C. H. Lie, "Fault tree analysis, methods, and applications-A Review," IEEE Transactions on Reliability, Vols. R-34, no. 3, pp. 194 - 203, 1985.
• [21] M. Stamatelatos, "Fault Tree Handbook with Aerospace Applications," NASA, Washington DC, 2002.
• [22] W. Vesely, F. Goldberg, N. Roberts and D. Haasl, "Fault Tree Handbook," U.S. Government Printing,, Washington DC, 1981.
• [23] W. Li, Risk Assessment of Power Systems: Models, Methods, and Applications, Wiley-IEEE Press, 2004.
• [24] S. Lee, "Probabilistic Reliability Assessment for transmission planning and operation including cascading outages," in IEEE/PES Power Systems Conference and Exposition, Seattle, 2009.
• [25] C. W. Williams, "Weather Normalization of Power System Reliability Indices," in IEEE Power Engineering Society General Meeting, Tampa, 2007.
• [26] D. Stamatis, "Failure Mode and Effect Analysis FMEA from Theory to Execution," ASQ, Milwaukee, 2003.
• [27] O. Ibe, Markov Processes for Stochastic Modeling, Massachusetts: Academic Press, 2009.
• [28] R. Billinton and R. Allan, " Reliability Assessment of Large Electric Power Systems," Kluwer Academic Publishers, 1988.
• [29] "Reliability of Electric Utility Distribution Systems: EPRI White Paper," EPRI, Palo Alto, 2000.
• [30] S. Gudzius, S. Gecys, L. Markevicius, R. Miliune and M. A, "The Model of Smart Grid Reliability Evaluation," ELECTRONICS AND ELECTRICAL ENGINEERING, Kaunas, 2011.
• [31] M. Hinchey and S. A. Bohner, "Innovations in Systems and Software Engineering," Springer, no. 11334, pp. 19-23, 2011.
• [32] H. Farhangi, "The Path of the SmartGrid," IEEE Power and Energy Magazine, vol. 8, no. 1, pp. 18-28, 2010.
• [33] S. Chren, "Multi-layered Reliability Analysis in Smart Grids," Masarykova univerzita Fakulta informatiky, Brno, 2017.
• [34] A. Mahmood, O. Hasan, H. R. Gillani and Y. Saleem, "Formal reliability analysis of protective systems in smart grids," IEEE, p. 198–202, 2016.
• [35] D. Niyato, P. Wang and E. Hossain, "Reliability analysis and redundancy design of smart grid wireless communications system for demand side management," IEEE Wireless Communications, vol. 19, no. 3, pp. 38-46, 2012.
• [36] J. Wäfler and P. Heegaard, "A combined structural and dynamic modelling approach for dependability analysis in smart grid," In Proceedings of the 28th Annual ACM Symposium on Applied Computing, ACM, pp. 660-665, 2013.
• [37] R. Zeng, Y. Jiang, C. Lin and X. Shen, "Dependability analysis of control center networks in smart grid using stochastic petri nets," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 9, pp. 1721-1730, 2012.
• [38] M. Albasrawi, N. Jarus, K. Joshi and S. S. Sarvestani, "Analysis of reliability and resilience for smart grids," in 2014 IEEE 38th Annual Computer Software and Applications Conference, Vasteras, 2014.
• [39] A. Faza, S. Sedigh and B. McMillin, "Integrated cyber-physical fault injection for reliability analysis of the smart grid," in In International Conference on Computer Safety,Reliability, and Security, Vienna, 2010.
• [40] A. Islam, A. Domijan and A. Damnjanovic, "Assessment of the Reliability of a Dynamic Smart Grids System," International Journal of Power and Energy Systems, vol. 31, no. 4, 2011.
• [41] S. Kahrobaee, "RELIABILITY MODELING AND EVALUATION OF DISTRIBUTED ENERGY RESOURCES AND SMART POWER DISTRIBUTION SYSTEMS," The Graduate College at the University of Nebraska, Nebraska, 2014.
• [42] R. Mikulak, R. McDermott and M. Beauregard, The Basics of FMEA, CRC Press, 2008.