Abstract—In this paper, the sequential monte carlo
simulation method is used to obtain the reliability indices of an
isolated hybrid microgrid consist of diesel generator (DG), solid
oxide fuel cell (SOFC), wind turbine generator (WTG), and
photovoltaic system (PV). Some atmospheric data such as wind
speed, solar irradiation, and ambient temperature data are used
to achieve the output power of WTG and PV systems which can
be obtained by two method; collecting data from weather
station or using the computer programs. For this purpose,
Weibull distribution is used. To obtain the adequacy model of
DG and SOFC, a two state reliability model is used. A
combination of this model and output power formulation is also
used to achieve the generation model of WTG, and PV systems.
Furthermore, the total generation model is compared with
IEEE reliability test system (IEEE RTS) load model and the
reliability indices are then achieved, which show the
effectiveness of the SMCS method in reliability evaluation of
both stable and unstable resources like WTG and PV.
Index Terms&mdashMicrogrid, photovoltaic, wind turbine
generator, monte carlo simulation.
The authors are with the Electrical Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran (e-mail: mmghahderijani@yahoo.com).
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Cite: M. Moradi Ghahderijani, S. M. Barakati, and Ahmad Jamshidi, "Application of Stochastic Simulation Method in Reliability Assessment of a PV-Wind-Diesel-SOFC Hybrid Microgrid,"
International Journal of Engineering and Technology vol. 4, no. 5, pp. 586-589, 2012.
