Power System Reliability Assessment— A Review on Analysis and Evaluation Methods

Abstract

The structures of power systems and their capacity have been updated significantly from time to time. Therefore, a reliability analysis is an essential issue in the planning, designing, and operation of electric power systems. Thus, a number of methods have been proposed. These are grouped as analytical based methods, simulation-based methods, and hybrid methods. Some methods like Monte Carlo, Markov etc., developed and some indices such as interruption indices, energy-oriented indices, are used for the evaluation. The purpose of this review study is to investigate the reliability analysis approaches, methods and difficulties, and to report importance of the reliability analysis in power systems. Therefore, reliability indices and evaluation methods and models of evaluation of power system are listed and explained. Besides, modeling and computational burden and complexity and problems are discussed. The importance of reliability analysis for emerging power systems is examined and explained.

Keywords

• Emerging power systems
• Reliability analysis
• Reliability indices

References

1. [1] Kahrobaee, S. Reliability modeling and evaluation of distributed energy resources and smart power distribution systems. PhD, The University of Nebraska-Lincoln, Lincoln, USA, 2014.
2. [2] Apurva, M, Gregory, B, Himanshu, K, Scott, F. A Cyber Security Architecture for Microgrid Deployments. In: 9th International Conference on Critical Infrastructure Protection (ICCIP); Mar 2015: HAL, Arlington, VA, United States. pp.245-259.
3. [3] Tawfiq, M, Aljohani, Mohammed, J, Beshir. Distribution system reliability analysis for smart grid applications. Smart Grid and Renewable Energy 2017; 8: 240-251. DOI: 10.4236/sgre.2017.87016.
4. [4] Evelyn, H, Geert, D, DirkVan, H. Review and classification of reliability indicators for power systems with a high share of renewable energy sources. Renewable and Sustainable Energy Reviews 2018; 97: 554-568. DOI: 10.1016/j.rser.2018.08.032.
5. [5] Baseem, K, Hassan, H. A, Fsaha, M. A holistic analysis of distribution system reliability assessment methods with conventional and renewable energy sources. AIMS Energy Journal 2019; 7: 413–429. DOI: 10.3934/energy.2019.4.413.
6. [6] Bilgen, M, Altın, N. An Overview on reliability analysis and evaluation methods applied to smart grids. Gazi University Journal of Science Part C: Design and Technology, 2021, 9, 4, 645-660. DOI: 10.29109/gujsc.981235.
7. [7] Yang Z, Mehdi N, Omer T. Boosting the adoption and the reliability of renewable energy sources: Mitigating the large-scale wind power intermittency through vehicle to grid technology. Energy 2017; 120: 608-618. DOI: 10.1016/j.energy.2016.11.112.
8. [8] Aaron, B, Udi, H, Hannele, H, Kate, S, Jordan, B, Gregory, B, Anthony, L. It's Indisputable: Five Facts About Planning and Operating Modern Power Systems. IEEE Power and Energy Magazine 2017; 15: 22-30. DOI: 10.1109/MPE.2017.2729079.

9. [9] Karki, R, Billinton, R. Reliability/cost implications of PV and wind energy utilization in small isolated power systems. IEEE Transactions on Energy Conversion 2001; 16: 368-373. DOI: 10.1109/60.969477.
10. [10] Fumagalli, E, Black, J. W, Vogelsang, I, Ilic, M. Quality of service provision in electric power distribution systems through reliability insurance. IEEE Transactions on Power Systems 2004; 19: 1286-1293. DOI: 10.1109/TPWRS.2004.831294.
11. [11] Asgarpoor, S, Mathine, M, J. Reliability evaluation of distribution systems with nonexponential down times. IEEE Transactions on Power Systems 1997; 12: 579 – 584. DOI: 10.1109/59.589607.
12. [12] Koh, L. H, Peng, W, Tseng, K. J, ZhiYong G. Reliability evaluation of electric power systems with solar photovoltaic & energy storage. In: 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS); 7-10 July 2014, IEEE, Durham, UK, pp. 1-5.
13. [13] Anders, G. J, Leite da Silva A. M. Cost related reliability measures for power system equipment. IEEE Transactions on Power Systems 2000; 15: 654-660. DOI: 10.1109/59.867155.
14. [14] Li, W, Vaahedi E, Choudhury P. Power system equipment aging. IEEE Power Energy Mag. 2006; 4: 52-58. DOI: 10.1109/MPAE.2006.1632454.
15. [15] Endrenyi, J, Aboresheid, S, Allan, R.N, Anders, G, Asgarpoor, S, Billinton, R, Chowdhury, N, Dialynas, E.N, Fipper, M, Fletcher, R.H, Grigg, C, Mccalley, J, Meliopoulos A.P, Mielnik T.C, Nitu P, Rau N, Reppen N.D, Salvaderi L, Schneider A, Singh Ch. The present status of maintenance strategies and the impact of maintenance on reliability. IEEE Transactions Power Systems 2001; 16: 638 – 646. DOI: 10.1109/59.962408.
16. [16] Kim, H, Singh, C. Reliability Modeling and Simulation in Power Systems With Aging Characteristics. IEEE Transactions on Power Systems 2010; 25: 21-28. DOI: 10.1109/TPWRS.2009.2030269.
17. [17] Murtadha, N. Albasrawi, Nathan J., Kamlesh A. Joshi, Sahra S. Sarvestani. Analysis of reliability and resilience for smart grids. In: IEEE 38th Annual International Computers, Software and Applications Conference; 21-25 July 2014: IEEE, Vasteras, Sweden, pp. 529-534.
18. [18] Billinton, R. Bibliography on the Application of Probability Methods In Power System Reliability Evaluation. IEEE Transactions on Power Apparatus and Systems 1972; 91: 649-660. DOI: 10.1109/TPAS.1972.293251.
19. [19] Power System Engineering Committee. Bibliography on the Application of Probability Methods in Power System Reliability Evaluation 1971-1977. IEEE Transactions on Power Apparatus and Systems 1978; 97: 2235-2242. DOI: 10.1109/TPAS.1978.354727.
20. [20] Allan, RN, Billinton, R, Lee, SH. Bibliography on the Application of Probability Methods in Power System Reliability Evaluation 1977-1982. IEEE Transactions on Power Apparatus and Systems 1984, 103: 275-282. DOI: 10.1109/TPAS.1984.318226.
21. [21] Allan, RN, Billinton, R, Breipohl, AM, Grigg, CH. Bibliography on the application of probability methods in power system reliability evaluation: 1982-7. IEEE Transactions on Power Systems 1988; 3: 1555-1564. DOI: 10.1109/59.192965.
22. [21] Allan, RN, Billinton, R, Breipohl, A. M, Grigg, CH. Bibliography on the application of probability methods in power system reliability evaluation: 1987-1991. IEEE Transactions on Power Systems 1994;9: 41-49, DOI: 10.1109/59.317559.
23. [23] Billinton, R, Fotuhi-Firuzabad, M, Bertling, L. Bibliography on the application of probability methods in power system reliability evaluation 1996-1999. IEEE Transactions on Power Systems 2001; 16: 595-602, DOI: 10.1109/59.962402.
24. [24] Alto, P. Reliability of Electric Utility Distribution Systems (EPRI White Paper 1000424). EPRI, CA, 2000.
25. [25] Al-Shaalan, A. M. Reliability Evaluation of Power Systems. In: L. Kounis editor. Reliability and Maintenance - An Overview of Cases. London, United Kingdom: IntechOpen Online Publishing, 2019. pp. 1-204. DOI: 10.5772/intechopen.85571.
26. [26] Til Kristian, V, Johansson, E. Overview of Power System Reliability Assessment Techniques. In: CIGRE Colloquium Recife; May 2011: 21, rue d’Artois, Cigre, pp. 51-63.
27. [27] Athraa, A, Kadhema, N, Izzri, A, Wahab, Ishak, A, Jasronita, J, Ahmed, N.A. Computational techniques for assessing the reliability and sustainability of electrical power systems: A review. Renewable and Sustainable Energy Reviews 2017; 80: 1175-1186, DOI: 10.1016/j.rser.2017.05.276.
28. [28] Hamza, A, Jiashen, T, Ching-Ming, L, Hussein Jumma, J. A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations and New Research Directions. Energies 2018; 11: 2417; doi:10.3390/en11092417.
29. [29] Vivian, S, Brian, H. Electric grid reliability research. Energy Informatics 2019; 2: 3, DOI: 10.1186/s42162-019-0069-z.
30. [30] Heylen, E, Labeeuw, W, Deconinck, G, Van Hertem, D. Framework for Evaluating and Comparing Performance of Power System Reliability Criteria. IEEE Transactions on Power Systems 2016; 31: 5153-5162, DOI: 10.1109/TPWRS.2016.2533158.
31. [31] Endrenyi, J, Bhavaraju MP, Clements KA, Dhir KJ, McCoy MF, Medicherla, K, Reppen, ND, Saluaderi, LA, Shahidehpour, SM, Singh, C, Stratton, JA. Bulk power system reliability concepts and applications. IEEE Transactions on Power Systems 1988; 3: 109-117, DOI: 10.1109/59.43188.
32. [32] Józef, P, Adam, O. Reliability issues in power systems with DG. In: 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century; 20-24 July 2008: IEEE, Pittsburgh, PA, USA, pp. 1-7.
33. [33] Leonardo, M, Konrad, P, Ronnie, B. Development of the Internal Electricity Market in Europe. The Electricity Journal 2005; 18: 25-35, DOI: 10.1016/j.tej.2005.06.008.
34. [34] Veliz, F.F.C, Borges, C. L. T, Rei A. M. A Comparison of Load Models for Composite Reliability Evaluation by Nonsequential Monte Carlo Simulation. IEEE Transactions on Power Systems 2010; 25: 649-656. DOI: 10.1109/TPWRS.2009.2032354.
35. [35] NERC, US. Glossary of terms used in NERC reliability standards. Atlanta, USA: NERC, 2015-05-19.
36. [36] R. Ashok, B, Kumarappan, N. Optimal reliability planning for a composite electric power system based on Monte Carlo simulation using particle swarm optimization. International Journal of Electrical Power & Energy Systems 2013; 47: 109-116. DOI: 10.1016/j.ijepes.2012.10.055.
37. [37] Shady, S. Refaat, Haitham Abbu-Rub, Mohammed T, Amira M. Reliability Evaluation of Smart Grid System with Large Penetration of Distributed Energy Resources. In: IEEE International Conference on Industrial Technology (ICIT); 20-22 February 2018: IEEE, Lyon, France, pp. 1279-1284.
38. [38] Li, J, Li, T, Han, L. Research on the evaluation model of a smart grid development level based on differentiation of development demand. Sustainability 2018; 10: 4047. DOI: 10.3390/su10114047.
39. [39] Mohammed, W, Mustafa, B, Abdulfetah, S, Mehmet Rida, T. Reliability Evaluation in Smart Grids via Modified Monte Carlo Simulation Method. In: 7th International Conference on Renewable Energy Research and Applications; 14-17 October 2018: IEEE, pp. 841-845.
40. [40] Marko, C. Assessment of Power System Reliability, Methods and Applications. London, ENGLAND: Springer-Verlag, 2011.
41. [41] Saleh, M.J.A.H, Abdulla, S.A.A.H, Altaweel, A.M.A.A, Qamber, I.S. LOLP and LOLE calculation for smart cities power plants. In: 3ICT International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies; 22-23 September 2019: IEEE, pp. 1-6.
42. [42] Ahmad, W, Osman, H, Usman, P, Junaid, Q. Reliability modeling and analysis of communication networks. Journal of Network and Computer Applications 2017; 78: 191-215, DOI: 10.1016/j.jnca.2016.11.008.
43. [43] Zhu, W, Rui, Y, Wang, L, Jun, T. Reliability assessment of integrated residential distribution and PHEV systems using Monte Carlo simulation. In: 2013 IEEE Power & Energy Society General Meeting; 21-25 July 2013: IEEE, Vancouver, BC, pp. 1-5.
44. [44] David, E. New Computational Methods in Power System Reliability. Berlin, Germany: Springer-Verlag, 2008.
45. [45] Shanmugam K, Balaban, P. A Modified Monte-Carlo Simulation Technique for the Evaluation of Error Rate in Digital Communication Systems. IEEE Transactions on Communications 1980; 28: 1916-1924, DOI: 10.1109/TCOM.1980.1094613.
46. [46] Radhakrishnan, B, Zacharia, T. Simulation of curvature-driven grain growth by using a modified monte carlo algorithm. Metallurgical and Materials Transactions 1995; 26: 167–180, DOI: 10.1007/BF02669802.
47. [47] Hong, L, YiCun, H, He, P. Transient radiative transfer in a complex refracting medium by a modified Monte Carlo simulation. International Journal of Heat and Mass Transfer 2014; 79: 437-449, DOI: 10.1016/j.ijheatmasstransfer.2014.08.031.
48. [48] Zarezadeh, S, Asadi, M. Network Reliability Modeling Under Stochastic Process of Component Failures. IEEE Transactions on Reliability 2013; 62: 917-929, DOI: 10.1109/TR.2013.2285054.
49. [49] Colbourn, C.J. Combinatorial aspects of network reliability. Ann Oper Res 1991; 33: 1–15. DOI: 10.1007/BF02061656.
50. [50] Alberto, E, Barry, H, Milan, P. A survey of reliability assessment techniques for modern distribution networks. Renewable and Sustainable Energy Reviews 2018; 91: 344–357. DOI: 10.1016/j.rser.2018.02.031.