Graph Theory Based Shipboard Power System Expansion Strategy for Enhanced Resilience

被引:18
作者
Lai, Kexing [1 ]
Illindala, Mahesh S. [1 ]
机构
[1] Ohio State Univ, Columbus, OH 43210 USA
关键词
Graph theory; Pareto optimality; power system planning; resilience; shipbuilding industry;
D O I
10.1109/TIA.2018.2860941
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The next-generation ships are geared to more electrification than ever before. In an all-electric ship, the design and planning of a shipboard power system (SPS) is critical for ensuring survivability against any physical attacks on the power lines. Therefore, enhancing the system resilience against malicious physical attacks is a pressing problem of the SPS. This paper proposes a graph theory based power line expansion strategy. The proposed method simultaneously maximizes the algebraic connectivity and weighted max-flow from generator nodes to load nodes in the graphical representation of the SPS. Furthermore, the proposed strategy is compared against a baseline strategy for reducing the operational cost. Several tests are conducted to demonstrate the performance of the proposed strategy on a shipboard direct current power system.
引用
收藏
页码:5691 / 5699
页数:9
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