基于复杂网络理论的船舶电网脆性源辨识方法
Brittle source identification method for ship power grid based on complex network
田晓 1刘志全1
作者信息
- 1. 上海海事大学 航运技术与控制工程交通运输行业重点实验室,上海 201306
- 折叠
摘要
[目的]针对船舶电网关键元件辨识方法的考虑角度单一,未计及节点的局部和全局特征、对节点承载负荷的重要度考虑不足等问题,提出一种基于复杂网络理论的博弈组合赋权脆性源辨识方法.[方法]船舶电力系统发生中断和连锁崩溃的内在机理是其本身具有脆性.首先,从脆性角度出发,基于复杂网络理论建立节点度、特征向量中心性、节点凝聚度、接近中心性、脆性电气介数等 5 项指标;然后,提出博弈组合赋权法,以纳什均衡为协调目标,确定直觉模糊层次分析法(IFAHP)和熵权法(EWM)的最优组合权重,并综合赋值5 项指标以得到综合脆性指标;最后,利用典型四电站环形船舶电网,验证该脆性源辨识方法的有效性和可行性.[结果]根据不同脆性指标的网络效能,得到了 4 个等级的脆性源.对比结果表明,所提方法可以更全面合理地辨识脆性源.[结论]研究成果可为船舶电网连锁故障的预防控制提供有效指导.
Abstract
[Objective]Existing brittle source identification methods have such problems as their single-perspective approach,disregard for the local and global characteristics of nodes,and insufficient consideration of the loads carried by nodes.[Methods]The method proposed herein identifies the inherent brittleness of the ship power system as the root cause of interruption and chain collapse.To establish a brittleness index,the method first considers node degree,eigenvector centrality,node cohesiveness,closeness centrality and brittle electrical betweenness from a brittleness perspective based on complex network theory.The combinatorial in-tuitionistic fuzzy analytic hierarchy process(IFAHP)and entropy weight method(EWM)with the Nash equi-librium as the coordination objective.The five indexes are then combined through comprehensive assignment to obtain a comprehensive brittleness index.Finally,the proposed brittle source identification method is valid-ated using a typical four-station annular ship grid.[Results]The method identifies four levels of brittle sources based on the network efficiency of different brittleness indexes,and the results demonstrate its ability to identify brittle sources more comprehensively and reasonably.[Conclusion]The results of this study can provide effective guidance for the prevention and control of inter-locking faults in ship power networks.
关键词
船舶电网/复杂网络/脆性/博弈组合赋权Key words
ship power network/complex network/brittleness/combinatorial weighting in game theory引用本文复制引用
基金项目
国家自然科学基金资助项目(52001197)
出版年
2024
国家科技期刊平台
NSTL
万方数据