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Fault detection and power distribution optimization of smart grids based on hybrid Petri net

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Abstract

Although smart grids have attracted significant researches in recent years no comprehensive model has been proposed to capture fault occurrences and power distribution optimization in such systems. In this paper a First Order Hybrid Petri Net (FOHPN) approach is proposed to model smart grids. Since smart grids are event driven systems that are comprised of continuous dynamics, FOHPN approach seems to be a logical choice for modeling and analysis of such systems. An IEEE standard 14-bus power system with actual data is used for modeling and simulation. The proposed model includes all units of smart grids along with their interactions, and it also guarantees the optimal behavior of the system regarding fault detection and power distribution. Simulation results validate both accuracy and reliability of the model.

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Authors and Affiliations

  1. Department of Electrical Engineering, Amirkabir University (Tehran Polytechnic), Tehran, Iran

    Z. Ghazi & A. Doustmohammadi

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  1. Z. Ghazi
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  2. A. Doustmohammadi
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Correspondence to A. Doustmohammadi.

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Ghazi, Z., Doustmohammadi, A. Fault detection and power distribution optimization of smart grids based on hybrid Petri net. Energy Syst 8, 465–493 (2017). https://doi.org/10.1007/s12667-016-0205-9

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