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Influence of different time series on load recovery following faults in the vessel regional distribution system
Author(s) -
Yan Qingsong,
Ye Zhihao,
Ji Feng,
Gao Xueping
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8639
Subject(s) - control reconfiguration , survivability , computer science , fault (geology) , reliability engineering , residual , power (physics) , series (stratigraphy) , electric power system , control theory (sociology) , control (management) , engineering , embedded system , physics , algorithm , quantum mechanics , artificial intelligence , seismology , biology , paleontology , geology
The network reconfiguration of a vessel power system (VPS) is one of the most important approaches to restore its power supply and improve its survivability. The current research on the reconfiguration mainly focuses on the selection and optimisation of recovery paths, with little consideration of the influence of recovery time series. The limited capacity of the VPS, many loads of the motor load and large starting current have a great impact on the electric‐energy quality of the power system. Therefore, the different recovery time series will affect the system performance and the recovery rate. The effect of the different recovery time series on the network reconfiguration and fault control has been analysed through the simulation of target network to determine the corresponding relationship between the residual power‐supply capacity, the load recovery time series and the recovery rate, which can provide the basis of studying an optimal recovery strategy.

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