1. School of Education, Computense Unversity of Madrid, Spain
2. Department of Computer Science, UDIMA—Universidad a Distancia de Madrid, Spain
3. School of Ecomomics, University of Valencia, Spain
Email: monikacies@gmail.com(M.C.); clairefbonilla@gmail.com(C.F.B.); carolode@alumni.uv.es(C.O.-L.A.)
*Corresponding author
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— Microgrid, 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.
