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Adaptive Short-Circuit Current Calculation Model based on Colored Petri Net

Volume 14, Number 2, February 2018, pp. 290-299
DOI: 10.23940/ijpe.18.02.p10.290299

Xinliang Wanga, Xiang Jinb

aSchool of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
bSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, 454000, China



Abstract:

According to structural characteristics of the coal mine high-voltage grid, we propose an adaptive short-circuit current calculation model based on colored Petri net that includes a network topology self-learning model and a calculation model. The former model includes 10 places and 7 transitions, and the latter model includes 5 places and 4 transitions. According to coding results of the network topology self-learning model, we set the initial state of place information. Then, according to the rules of transitional trigger, the calculation model can complete adaptive short-circuit current calculation of some output switch. Simulation results show that the model can effectively learn the topology relationship of power grid and achieve adaptive short-circuit current calculation of coal mine high-voltage grid. Meanwhile, compared to the adaptive short-circuit calculation algorithm based on the state of interconnection switch, the adaptive short-circuit calculation model based on colored Petri Net can shorten the time needed to complete the short-circuit calculation. Furthermore, when the number of output switch is 72, the time overhead of short-circuit calculation is about 20 times as much as the time overhead in short-circuit calculation algorithm based on the state of interconnection switch.

 

References: 12

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    8. XinLiang Wang, JunJie Zhu, ZhiPing Liu, etc. “An Adaptive Short-Circuit Calculation Algorithm Based on the State of Interconnection Switch” [P]. China: CN201510205571.3, 2015.
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