Abstract
Digital substations (DS) of smart grid are complex multi-component maintained systems, consisting of a lot of hardware and software components. Failures of the components cause functional and parametrical degradation of the substations. According with systems (DS) structure the reliability-block diagram (RBD), the structure function and the structure function and the Direct Partial Logical Derivatives (DPLDs) for RMSS “electronic transformers—merging unit” are considered. The mathematical tool of logical differential calculus and DPLD in particular are used in many application problems. One of them is reliability engineering. The principal condition of the DPLD application in reliability analysis is the representation of system under investigation by the structure function. We consider the calculation some of these measures as structural, Birnbaum’s, and criticality for the analysis of the electronic transformers—merging unit. The structure function of this unit based on the operation conditions of this system (unit). The construction of this function allows estimating the most important components of this system in stationary state through structural, Birnbaum’s, and criticality importance measures. According with developed technique an example of DS availability model is presented and discussed.
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References
Levitin, G., Lisnianski, A., Haim, H.: Redundancy optimization for series-parallel multi-state systems. IEEE Trans. Reliab. 47(2), 165–172 (1998)
Gurler, U., Kaya, A.: A maintenance policy for a system with multi-state components: an approximate solution. Reliab. Eng. Syst. Saf. 76, 117–127 (2002)
Huang, C., Yuan, J.: A two-stage preventive maintenance policy for a multi-state deterioration system. Reliab. Eng. Syst. Saf. 95(11), 1255–1260 (2010)
Isaac, W., Nourelfath, M., Daoud, A.: Performance evaluation of multi-state degraded systems with minimal repairs and imperfect preventive maintenance. Reliab. Eng. Syst. Saf. 95(2), 65–69 (2010)
Nahas, N., Khatab, A., Daoud, A.: Extended great deluge algorithm for the imperfect preventive maintenance optimization of multi-state systems. Reliab. Eng. Syst. Saf. 93(11), 1658–1672 (2008)
Tan, C., Raghavan, N.: A framework to practical predictive maintenance modeling for multi-state systems. Reliab. Eng. Syst. Saf. 93(8), 1138–1150 (2008)
Nourelfath, M., Dutuit, Y.: A combined approach to solve the redundancy optimization problem for multi-state systems under repair policies. Reliab. Eng. Syst. Saf. 86(3), 205–213 (2004)
Yingkui, G., Jing, L.: Multi-state system reliability: a new and systematic Review. Procedia. Eng. 29, 531–536 (2012)
Albasrawi, M., Jarus, N., Joshi, K., Sarvestani, S.: Analysis of Reliability and Resilience for Smart Grids. In: Proceedings of IEEE 38th Annual on Computer Software and Applications Conference (COMPSAC), pp. 529–534 (2014)
Zio, E.: Reliability Engineering: Old Problems and New Challenges. Reliab. Eng. Syst. Saf. 94, 125–141 (2009)
Praks, P., Kopustinskas, V.: Monte-Carlo based Reliability Modelling of a Gas Network using Graph Theory Approach. In: 2014 Ninth International Conference on Availability, Reliability and Security. IEEE, pp. 380–386 (2014)
Zaitseva, E., Levashenko, V., Rusin, M.: Reliability Analysis of Healthcare System. In: 2011 Federated Conference on Computer Science and Information Systems FedCSIS 2011. IEEE, pp. 169–175 (2011)
Rausand, M., Høyland, A.: System Reliability Theory. John Wiley and Sons Inc, Haboken, NJ (2004)
Murchland, J.D.: Fundamental Concepts and Relations for Reliability Analysis of Multistate System. In: Reliability and Fault Tree Analysis, Theoretical and Applied Aspects of System Reliability. SIAM, pp. 581–618 (1975)
Barlow, R.E., Wu, A.S.: Coherent Systems with Multi-State Components. Math. Oper. Res. 3, 275–281 (1978)
Hudson, J.C., Kapur, K.C.: Modules in Coherent Multistate Systems. IEEE Trans. Reliab. 32, 183–185 (1983)
Lisnianski, A., Levitin, G.: Multi-state system reliability. assessment, optimization and applications. World Scientific, Singapore, SG (2003)
Xie, M., Dai, Y.-S., Poh, K.-L.: Multi-state system reliability. In: Computing system reliability. Models and Analysis. Kluwer Academic Publishers, New York, NY, 207–237 (2004)
Levitin, G., Lisnianski, A.: Optimization of imperfect preventive maintenance for multi-state system. Reliab. Eng. Syst. Saf. 67, 193–203 (2000)
Zio, E., Marella, M., Podofillini, L.: A monte carlo simulation approach to the availability assessment of multi-state systems with operational dependencies. Reliab. Eng. Syst. Saf. 92, 871–882 (2007)
Caldarola, L.: Coherent system with multi-state components. Nucl. Eng. Des. 58, 127–139 (1980)
Veeraraghavan, M., Trivedi, K.S.: A combinatorial algorithm for performance and reliability analysis using multistate models. IEEE Trans. Comput. 43, 229–234 (1994)
Reinske, K., Ushakov, I.: Application of graph theory for reliability analysis. Radio i Sviaz, Moscow, USSR (1988). (in Russian)
Zaitseva, E.: Reliability analysis of multi-state system. Dyn. Syst. Geom. Theor. 1, 213–222 (2003)
Zaitseva, E., Levashenko, V., Kostlny, J., Kvassay M.: Analysis of Boundary States of Multi-State System by Direct Partial Logic Derivatives. In: Proceedings of 11th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, CEUR Workshop, pp. 1356 (2015)
Miller, M.D., Thornton, M.A.: Multiple valued logic: concepts and representations. Morgan and Claypool Publishers, Synthesis Lectures on Digital Circuits and systems (2008)
Zaitseva, E., Levashenko, V.: Multiple-valued logic mathematical approaches for multi-state system reliability analysis. J. Appl. Logic 11, 350–362 (2013)
Kvassay, M., Zaitseva, E., Levashenko, V.: Minimal cut sets and direct partial logic derivatives in reliability analysis, In: Proceedings of the Safety and Reliability: Methodology and Applications European Safety and Reliability Conference. CRC Press, pp. 241–248 (2014)
Kołowrocki, K.: Reliability of large and complex systems. Elsevier (2014)
Hung, J., Zuo, M.J.: Multi-State k-out-of-n System Model and its Applications. In: Ann. Reliability & Maintainability Symp. IEEE Pres, New York, 264–268 (2000)
Boedigheimer, R.A., Kapur, K.C.: Customer-Driven Reliability Models for Multistate Coherent Systems. IEEE Trans. Reliab. 43, 46–50 (1994)
Nikolaidis, E. Ghiocel, D. M. Singhal, S. (eds.): Engineering Design Reliability, CRC Press (2005)
Natvig, B.: Multistate systems reliability theory with applications. Wiley, New York (2011)
Ramirez-Marquez, J.E., Coit, D.W., Tortorella, M.: A generalized multistate based path vector approach for multistate two-terminal reliability. IIE Trans. 38, 477–488 (2006)
Kuo, W., Zhu, X.: Importance measures in reliability, risk, and optimization: principles and applications, Wiley (2012)
Nourelfath, M., Chatelet, E., Nahas, N.: Joint redundancy and imperfect preventive maintenance optimization for series–parallel multi-state degraded systems. Reliab. Eng. Syst. Saf. 103, 51–60 (2012)
Miller, M.D., Thornton, M.A.: Multiple Valued Logic: Concepts and Representations. Morgan and Claypool Publishers, Synthesis Lectures on Digital Circuits and systems (2008)
Zaitseva, E.: Importance Analysis of a Multi-State System Based on Multiple-Valued Logic Methods. In: Lisnianski, A., Frenkel, I. (eds.) Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference, pp. 113–134. Springer, London, UK (2012)
Wood, A.P.: Multistate Block Diagrams and Fault Trees, IEEE Trans on Reliability, R-34, pp. 236–240 (1985)
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Brezhnev, E., Fesenko, H., Kharchenko, V., Levashenko, V., Zaitseva, E. (2017). MSS Models of Smart Grids with Multi-level Degradation and Recovery. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds) Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-319-44162-7_11
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