Abstract
Rail road switches enable trains to be guided from one track to another, and rail road switches heaters are used to avoid the formation of snow and ice during the cold season in order to guarantee their correct functioning. Managing the energy consumption of these devices is important in order to reduce the costs and minimise the environmental impact. While doing so, it is important to guarantee the reliability of the system.
In this work we analyse reliability and energy consumption indicators for a system of (remotely controlled) rail road switch heaters by developing and solving stochastic models based on the Stochastic Activity Networks (SAN) formalism. An on-off policy is considered for heating the switches, with parametric thresholds representing the temperatures activating/deactivating the heating. Initial investigations are carried on to understand the impact of different thresholds on the indicators under analysis (probability of failure and energy consumption).
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References
Balbo, G.: Introduction to generalized stochastic petri nets. In: Bernardo, M., Hillston, J. (eds.) SFM 2007. LNCS, vol. 4486, pp. 83–131. Springer, Heidelberg (2007)
Bause, F., Kritzinger, P.S.: Stochastic petri nets: an introduction to the theory. SIGMETRICS Perform. Eval. Rev. 26(2), 2–3 (1998)
Berger, L.T., Schwager, A., Joaquín Escudero-Garzás, J.: Power line communications for smart grid applications. J. Electr. Comput. Eng. 2013, Article ID 712376, 16 (2013). doi:10.1155/2013/712376
Clark, G., Courtney, T., Daly, D., Deavours, D., Derisavi, S., Doyle, J.M., Sanders, W.H., Webster, P.: The möbius modeling tool. In: Proceedings of the 9th International Workshop on Petri Nets and Performance Models, pp. 241–250 (2001)
David, R., Alla, H.: On hybrid petri nets. Discrete Event Dyn. Syst. 11(1–2), 9–40 (2001)
Di Giandomenico, F., Fantechi, A., Gnesi, S., Itria, M.L.: Stochastic model-based analysis of railway operation to support traffic planning. In: Gorbenko, A., Romanovsky, A., Kharchenko, V. (eds.) SERENE 2013. LNCS, vol. 8166, pp. 184–198. Springer, Heidelberg (2013)
Erbes, T., Shukla, S.K., Kachroo, P.: Stochastic learning feedback hybrid automata for dynamic power management in embedded systems. In: SMCia/05, IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, June 2005
Ghasemieh, H., Boudewijn, R., Haverkort, M.R.J., Remke, A.: Energy resilience modeling for smart houses. In: DSN (2015, to appear)
Gnesi, S., Mazzanti, F.: An abstract, on the fly framework for the verification of service-oriented systems. In: Wirsing, M., Hölzl, M. (eds.) SENSORIA. LNCS, vol. 6582, pp. 390–407. Springer, Heidelberg (2011)
Mazzanti, F., Spagnolo, G.O., Della Longa, S., Ferrari, A.: Deadlock avoidance in train scheduling: a model checking approach. In: Lang, F., Flammini, F. (eds.) FMICS 2014. LNCS, vol. 8718, pp. 109–123. Springer, Heidelberg (2014)
Misra, S., Krishna, P.V., Saritha, V., Obaidat, M.S.: Learning automata as a utility for power management in smart grids. IEEE Commun. Mag. 51(1), 98–104 (2013)
Müller, S.C., Häger, U., Rehtanz, C., Wedde, H.F.: Application of self-organizing systems in power systems control. In: Dieste, O., Jedlitschka, A., Juristo, N. (eds.) PROFES 2012. LNCS, vol. 7343, pp. 320–334. Springer, Heidelberg (2012)
Qiu, Q., Wu, Q., Pedram, M.: Dynamic power management of complex systems using generalized stochastic petri nets. In: DAC, pp. 352–356 (2000)
Sanders, W.H., Meyer, J.F.: Stochastic activity networks: formal definitions and concepts. In: Brinksma, E., Hermanns, H., Katoen, J.-P. (eds.) EEF School 2000 and FMPA 2000. LNCS, vol. 2090, pp. 315–343. Springer, Heidelberg (2001)
Acknowledgements
This work has been partially supported by the projects TENACE (PRIN n.20103P34XC) and CINA (PRIN n.2010LHT4KM), both funded by the Italian Ministry of Education, University and Research. Moreover, we are thankful to Gianpaolo Roina for the useful comments.
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Basile, D., Chiaradonna, S., Di Giandomenico, F., Gnesi, S., Mazzanti, F. (2015). Stochastic Model-Based Analysis of Energy Consumption in a Rail Road Switch Heating System. In: Fantechi, A., Pelliccione, P. (eds) Software Engineering for Resilient Systems. SERENE 2015. Lecture Notes in Computer Science(), vol 9274. Springer, Cham. https://doi.org/10.1007/978-3-319-23129-7_7
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DOI: https://doi.org/10.1007/978-3-319-23129-7_7
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