Distributed Reconfiguration of a Hybrid Shipboard Power System

This paper presents a novel distributed reconfiguration strategy to enable the secure and reliable operation of the zonal shipboard power system (SPS). To adapt to the latest distributed control structure, the proposed strategy features two levels of reconfiguration: zonal reconfiguration and global...

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Bibliographic Details
Published in:IEEE transactions on power systems 2021-01, Vol.36 (1), p.4-16
Main Authors: Zhu, Wanlu, Shi, Jian, Zhi, Pengfei, Fan, Lei, Lim, Gino J.
Format: Article
Language:English
Subjects:
Algorithms
Decentralized control
distributed control
dynamic response
Heuristic algorithms
Hybrid systems
Performance evaluation
Power system reliability
Reconfiguration
Reliability
shipboard power system
Steady-state
Strategy
System dynamics
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Summary:This paper presents a novel distributed reconfiguration strategy to enable the secure and reliable operation of the zonal shipboard power system (SPS). To adapt to the latest distributed control structure, the proposed strategy features two levels of reconfiguration: zonal reconfiguration and global reconfiguration. An extended hybrid model of SPS is first developed to accurately capture the interactions between the discrete events and the continuously evolving system dynamics involved in the reconfiguration process. The concept of zonal and global reconfigurability is then proposed along with the evaluation criteria to examine if the system can be reconfigured to return to steady-state operation. Provided that the SPS is reconfigurable, executable algorithms are proposed to determine the optimal sequence of operation events for both zonal and global reconfiguration. To evaluate the performance of the proposed strategy, four case studies are presented in which a four-zone SPS is faced with multiple random faults and requires reconfiguration. Simulation results demonstrate that the proposed reconfiguration strategy outperformed previous algorithms in examining the reconfigurability of the system and determining the optimal reconfiguration solution.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2020.3009534