Applications of Non-Markovian Hybrid Petri-Nets in Power Engineering
This paper is focused on simulation and graphical stochastic modeling of electrical power systems. The main goal of this paper is to develop a tool for modeling and simulation of very large systems with probabilistic incidents. For this purpose, a new extension of Petri nets is introduced in this paper. Using this extension which is suitable for power engineering applications, a large system with stochastic transitions can be studied and analyzed. After a preliminary introduction of Petri nets, the proposed extension is introduced. In order to clarify the modeling process, a case study regarding modeling and analyzing long-term behavior of a Plug-in Hybrid Electric Vehicle (PHEV) is studied and simulated. The simulation results demonstrate the long-term stochastic dynamics of a charging station without any requirement for rigorous analytical studies of the overall stochastic process.
P. Shamsi, "Applications of Non-Markovian Hybrid Petri-Nets in Power Engineering," Proceedings of the 40th Annual Conference of the IEEE Industrial Electronics Society (2014, Dallas, TX), pp. 84-89, Institute of Electrical and Electronics Engineers (IEEE), Oct 2014.
The definitive version is available at https://doi.org/10.1109/IECON.2014.7048481
40th Annual Conference of the IEEE Industrial Electronics Society (IECON) (2014: Oct. 29-Nov. 1, Dallas, TX)
Electrical and Computer Engineering
Keywords and Phrases
Electric Power Systems; Hybrid Vehicles; Industrial Electronics; Intelligent Systems; Monte Carlo Methods; Petri Nets; Random Processes; Reliability; Stochastic Systems; Charging Station; Electrical Power System; Long-Term Behavior; Model and Simulation; Plug in Hybrid Electric Vehicles; Stochastic Dynamics; Stochastic Transitions; Very Large Systems; Plug-In Hybrid Vehicles; Monte-Carlo Simulation
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International Standard Serial Number (ISSN)
Article - Conference proceedings
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