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| Probabilistic Power Flow Calculation in Microgrid Based on Monte-Carlo Simulation |
| Duan Yubing, Gong Yulei, Tan Xingguo, Wang Hui, Li Qingmin |
| School of Electrical Engineering Shandong University Jinan 250061 China |
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Abstract Microsources with various output characteristics are embedded into microgrids through multiple power electronic converters, which make the power flow analysis of the microgrid even more complicated. In addition, the power flow computation within the microgrids renders probabilistic behavior due to existence of some intermittent microsources. With probability density functions of the intermittent microsources and combined with the backward-forward sweep method, an effective calculation methodology for probabilistic power plows fithin the microgrids is established, in which Monte-Carlo scheme is adopted as to simulate stochastic performance of the intermittent microsources, and the transformation characteristics of the power electronic converters are also incorporated into the proposed power flow analysis models of the microsources. A corresponding program is developed for probabilistic power flow computation, which presents referential basis for further reliability assessment and optimal control of the microgrids. The methodology based case study shows that, with proper adjustment of the control parameters of the micro source converters, the threshold-crossing hours of both voltages and currents per year can be effectively reduced as to improve operational reliability of the microgrids.
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Received: 02 November 2010
Published: 07 March 2014
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2011, Vol. 26 
