Abstract
This paper describes some of our efforts to reduce the execution time of a computing tool, namely VietReli, for composite power system reliability evaluation based on sequential Monte Carlo simulation, especially when alternating current (AC) load flow and optimal power flow techniques are used. The approach is an adaptation of the sequential computing algorithm to parallel and distributed environment based on a cluster of multithread and multicore personal computers (PCs) as hardware and Message Passing Application Programming Interface (MPAPI) as software framework. Test results obtained on several actual power systems showed the high performance of the new computing tool in terms of speedup and simulation time. It is also shown that each thread of PC should be responsible for one simulation year at a time and that the number of threads involved on each PC must be defined beforehand for optimized utilization of computing resources.
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References
Billinton R, Allan R. Reliability evaluation of power systems. 2nd ed. New York: Plenum Press; 1994.
Billinton R, Wangdee W. Predicting bulk electricity system reliability performance indices using sequential Monte Carlo simulation. IEEE Trans Power Deliv. 2006;21(2):909–917.
Borges CLT, Falcao DM, Mello J, Melo A. Composite reliability evaluation by sequential Monte Carlo simulation on parallel and distributed processing environments. IEEE Trans Power Syst. 2001;16(2):203–209.
Gubbala N, Singh C. Models and considerations for parallel implementation of Monte Carlo simulation methods for power system reliability evaluation. Power Syst IEEE Trans On. 1995;10(2):779–787.
IEEE Committee Report. IEEE reliability test system. IEEE Trans Power Appar Syst. 1979;PAS-98(6):2047–2054.
Pereira MVF, Pinto LMVG. A new computational tool for composite reliability evaluation. IEEE Tran Power Syst. 1992;7(1):258–264.
Phuc TK, Thang VT, Ha LTT. A Monte Carlo simulation based computing tool for assessing reliability of generation systems. J Sci Technol Tech Univ. 2011;(85):7–12.
Singh C, Luo X, Hyungchul K. Power system adequacy and security calculations using Monte Carlo simulation incorporating intelligent system methodology. Probabilistic methods applied to power systems, 2006. PMAPS 2006. International Conference on, IEEE; 2006. pp. 1–9.
Thomsen F. Introduction to message passing and the MPAPI framework. 2008. [Online].
Wang L, Singh C. Reliability evaluation of composite power systems using parallel genetic algorithms: Some conceptual and simulation studies. PSCE ’09, IEEE/PES; 2008. pp. 1–7.
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© 2015 Springer International Publishing Switzerland
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Phuc, T., Thang, V., Binh, P., Ha, L. (2015). A Computing Tool for Composite Power System Reliability Evaluation Based on Monte Carlo Simulation and Parallel Processing. In: Wang, W. (eds) Proceedings of the Second International Conference on Mechatronics and Automatic Control. Lecture Notes in Electrical Engineering, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13707-0_31
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DOI: https://doi.org/10.1007/978-3-319-13707-0_31
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