© The Institution of Engineering and Technology
Cyber-physical systems result from the integration of information and communication technologies into physical systems. A particular case are cyber-physical power systems, which use communication technologies to perform real-time monitoring and operations, impacting on systems' characteristics, such as their reliability. In addition, it is known that failures of the communication network are just as relevant as the electrical network failures in terms of cyber-physical power distribution systems (CPPDS) reliability. However, some of the operators’ performances, such as response time and decision quality, during CPPDS contingencies have not been investigated yet. In this study, the authors introduce a model to the operator response time, present a sequential Monte Carlo simulation methodology that incorporates the response time in CPPDS reliability indices estimation, and evaluate the impact of such response time in CPPDS reliability indices. The method is tested on a CPPDS using different values for operators' average response time. The results show that the operators' response time affects the reliability indices related to failures duration, indicating that a fast decision directly contributes to the system performance. The authors conclude that the improvement of CPPDS reliability is not only dependent on the electric and communication components, but also dependent on operators' performance.
References
-
-
1)
-
5. IEEE PES Power System Dynamic Performance Committee: ‘Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance’, IEEE Trans. Power Syst., 2005, 20, (4), pp. 1922–1928 (doi: 10.1109/TPWRS.2005.857942).
-
2)
-
39. Chowdhury, A., Koval, D.: ‘Power distribution system reliability: practical methods and applications’ (John Wiley & Sons Inc, 2011).
-
3)
-
36. Zio, E.: ‘The Monte Carlo simulation method for system reliability and risk analysis’ (Springer-Verlag, 2013).
-
4)
-
17. Falahati, B., Yong, F., Lei, W.: ‘Reliability assessment of smart grid considering direct cyber-power interdependencies’, IEEE Trans. Smart Grid, 2012, 3, (3), pp. 1515–1524 (doi: 10.1109/TSG.2012.2194520).
-
5)
-
22. Chaudonneret, T., Decroix, H., McDonald, J.D.F.: ‘Representation of the influence of telecommunications on electrical distribution network reliability’. IEEE 2012 IEEE Third Int. Conf. on Smart Grid Communications (SmartGridComm)’, 2012, pp. 258–263.
-
6)
-
15. Camillo, M.H.M., Romero, M.E.V., Fanucchi, R.Z., et al: ‘Validation of a methodology for service restoration on a real Brazilian distribution system’. 2014 IEEE PES Transmission and Distribution Conf. and Exposition – Latin America (PES T&D-LA)’, IEEE, 2014, pp. 1–6.
-
7)
-
4. Pagani, G.A., Aiello, M.: ‘Towards decentralization: a tropological investigation of the medium and low voltage grids’, IEEE Trans. Smart Grid, 2011, 2, pp. 538–547 (doi: 10.1109/TSG.2011.2147810).
-
8)
-
28. El-Sharkawi, M.A.: ‘Electric energy: An introduction’ (CRC Press, 2012, 3rd edn.).
-
9)
-
31. Kayastha, N., Niyato, D., Hossain, E., et al: ‘Smart grid sensor data collection, communication, and networking: a tutorial’, Wirel. Commun. Mob. Comput., 2014, 14, (11), pp. 1055–1087 (doi: 10.1002/wcm.2258).
-
10)
-
5. Shi, J., Wan, J., Yan, H., et al: ‘A survey of cyber-physical systems’. IEEE 2011 Int. Conf. on Wireless Communications and Signal Processing (WCSP), 2011, pp. 1–6.
-
11)
-
35. Wagholikar, K.B., Sundararajan, V., Deshpande, A.W.: ‘Modeling paradigms for medical diagnostic decision support: a survey and future directions.’, J. Med. Syst., 2012, 36, (5), pp. 3029–3049 (doi: 10.1007/s10916-011-9780-4).
-
12)
-
3. Wu, X., Ma, L., Feng, Z., et al: ‘Toward cyber-physical networks and smartly active sensing IETM for equipment maintenance in marine ships’. IET Int. Conf. on Information and Communications Technologies (IETICT 2013)’, Institution of Engineering and Technology, 2013, pp. 599–603.
-
13)
-
7. Rajkumar, R., (Raj), Lee, I., Sha, L., et al: ‘Cyber-physical systems’. ‘Proc. 47th Design Automation Conf. on – DAC ’10’, 2010, p. 731.
-
14)
-
37. Mello, J.C.O., Pereira, M.V.F., Leite da Silva, A.M.: ‘Evaluation of reliability worth in composite systems based on pseudo-sequential Monte Carlo simulation’, IEEE Trans. Power Syst., 1994, 9, (3), pp. 1318–1326 (doi: 10.1109/59.336134).
-
15)
-
8. Zio, E.: ‘Reliability analysis of complex network systems: Research and practice in need’, IEEE Trans. Reliab., 2008, 57, (3), pp. 1–4 (doi: 10.1109/TR.2008.929374).
-
16)
-
2. Farhangi, H.: ‘The path of the smart grid’, IEEE Power Energy Mag., 2010, 8, (1), pp. 18–28 (doi: 10.1109/MPE.2009.934876).
-
17)
-
44. Kavasseri, R., Ababei, C.: .
-
18)
-
40. Box, G.E.P., Muller, M.E.: ‘A note on the generation of random normal deviates’, Ann. Math. Stat., 1958, 29, (2), pp. 610–611 (doi: 10.1214/aoms/1177706645).
-
19)
-
2. Kirschen, D., Bouffard, F.: ‘Keep the lights on and the information flowing, a new framework for analyzing power system security’, IEEE Power Energy Mag., 2009, 7, (1), pp. 50–60 (doi: 10.1109/MPE.2008.930656).
-
20)
-
11. Bhatt, J., Shah, V., Jani, O.: ‘An instrumentation engineer's review on smart grid: Critical applications and parameters’, Renew. Sustain. Energy Rev., 2014, 40, pp. 1217–1239 (doi: 10.1016/j.rser.2014.07.187).
-
21)
-
21. Celli, G., Ghiani, E., Pilo, F., et al: ‘Reliability assessment in smart distribution networks’, Electr. Power Syst. Res., 2013, 104, pp. 164–175 (doi: 10.1016/j.epsr.2013.07.001).
-
22)
-
2. Boyes, H.A.: ‘Trustworthy cyber-physical systems – a review’. 8th IET Int. System Safety Conf. Incorporating the Cyber Security Conf. 2013, Institution of Engineering and Technology, 2013, pp. 3.1–3.1.
-
23)
-
4. Wang, Z., Song, H., Watkins, D.W., et al: ‘Cyber-physical systems for water sustainability: challenges and opportunities’, IEEE Commun. Mag., 2015, 53, (5), pp. 216–222 (doi: 10.1109/MCOM.2015.7105668).
-
24)
-
9. Chiuso, A., Fortuna, L., Frasca, M., et al: ‘Understanding complex systems: Modelling, estimation and control of networked complex systems’ (Springer Berlin Heidelberg, 2009).
-
25)
-
15. Buldyrev, S.V., Parshani, R., Paul, G., et al: ‘Catastrophic cascade of failures in interdependent networks’, Nature, 2010, 464, pp. 1025–1028 (doi: 10.1038/nature08932).
-
26)
-
2. Heydt, G.T.: ‘The next generation of power distribution systems’, IEEE Trans. Smart Grid, 2010, 1, (3), pp. 225–235 (doi: 10.1109/TSG.2010.2080328).
-
27)
-
33. Delbem, A.C.B., de Carvalho, A.C.P., de, L.F., et al: ‘Main chain representation for evolutionary algorithms applied to distribution system reconfiguration’, IEEE Trans. Power Syst., 2005, 20, (1), pp. 425–436 (doi: 10.1109/TPWRS.2004.840442).
-
28)
-
41. Galea, M., Pozzuoli, M.: ‘Redundancy in substation LANs with the rapid spanning tree protocol (IEEE 802 . 1w)’, Electr. Energy T&D Mag., 2003, 3, pp. 66–68.
-
29)
-
23. Panteli, M., Kirschen, D.S.: ‘Assessing the effect of failures in the information and communication infrastructure on power system reliability’. ‘2011 IEEE/PES Power Systems Conf. and Exposition’, IEEE, 2011, pp. 1–7.
-
30)
-
38. Dzobo, O., Gaunt, C.T., Herman, R.: ‘Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems’, Int. J. Electr. Power Energy Syst., 2012, 37, (1), pp. 110–116 (doi: 10.1016/j.ijepes.2011.12.013).
-
31)
-
7. Falahati, B., Fu, Y.: ‘Reliability assessment of smart grid considering indirect cyber-power interdependencies’, IEEE Trans. Smart Grid, 2014, 5, (4), pp. 1677–1685 (doi: 10.1109/TSG.2014.2310742).
-
32)
-
17. Amin, M.: ‘Energy infrastructure defense systems’. ‘Proc. IEEE’, 2005, pp. 861–875.
-
33)
-
1. Shin, D., He, S., Zhang, J.: ‘Robust, secure, and cost-effective design for cyber-physical systems’, IEEE Intell. Syst., 2014, 29, (1), pp. 66–69 (doi: 10.1109/MIS.2014.9).
-
34)
-
29. Billinton, R., Li, W.: ‘Reliability assessment of electric power systems using Monte Carlo methods’ (Springer Science+Business Media, 1994).
-
35)
-
3. Fang, X., Misra, S., Xue, G., Yang, D.: ‘Smart grid – The new and improved power grid: a survey’, IEEE Commun. Surv. Tutor., 2012, 14, (4), pp. 944–980 (doi: 10.1109/SURV.2011.101911.00087).
-
36)
-
26. Amin, S.M.: ‘Securing the electricity grid’, Bridg. Q. Publ. US Natl. Acad. Eng., 2010, 40, (1), pp. 13–20.
-
37)
-
32. Avritzer, A., Suresh, S., Menasché, D.S., et al: ‘Survivability models for the assessment of smart grid distribution automation network designs’. Proc. ACM/SPEC Int. Conf. on Performance Engineering – ICPE ’13, 2013, p. 241.
-
38)
-
13. Zonouz, S., Davis, C.M., Davis, K.R., et al : ‘SOCCA: a security-oriented cyber-physical contingency analysis in power infrastructures’, IEEE Trans. Smart Grid, 2014, 5, (1), pp. 3–13 (doi: 10.1109/TSG.2013.2280399).
-
39)
-
6. Zio, E.: ‘Reliability engineering: Old problems and new challenges’, Reliab. Eng. Syst. Saf., 2009, 94, (2), pp. 125–141 (doi: 10.1016/j.ress.2008.06.002).
-
40)
-
24. Pilo, F., Celli, G., Jupe, S., et al: ‘Assessing the impact of ICT on the reliability of active distribution systems’. 22nd Int. Conf. and Exhibition on Electricity Distribution (CIRED 2013) Institution of Engineering and Technology, 2013, pp. 1370–1370.
-
41)
-
16. Castillo, A.: ‘Risk analysis and management in power outage and restoration: A literature survey’, Electr. Power Syst. Res., 2014, 107, pp. 9–15 (doi: 10.1016/j.epsr.2013.09.002).
-
42)
-
42. Čepin, M.: ‘Assessment of power system reliability’ (Springer, 2011).
-
43)
-
6. Civanlar, S., Grainger, J.J., Yin, H., et al: ‘Distribution feeder reconfiguration for loss reduction’, IEEE Trans. Power Deliv., 1988, 3, (3), pp. 1217–1223 (doi: 10.1109/61.193906).
-
44)
-
18. Arnott, D., Pervan, G.: ‘Eight key issues for the decision support systems discipline’, Decis. Support Syst., 2008, 44, (3), pp. 657–672 (doi: 10.1016/j.dss.2007.09.003).
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