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电机控制及配电系统备件优化配置
引用本文:梅丹,王公宝,叶志浩,沈静,冯杭. 电机控制及配电系统备件优化配置[J]. 航空动力学报, 2018, 45(1): 41-45, 63
作者姓名:梅丹  王公宝  叶志浩  沈静  冯杭
作者单位:海军工程大学 理学院,湖北 武汉430033;海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430033,海军工程大学 理学院,湖北 武汉430033,海军工程大学 舰船综合电力技术国防科技重点实验室,湖北 武汉430033,海军工程大学 理学院,湖北 武汉430033,海军工程大学 理学院,湖北 武汉430033
基金项目:国家自然科学基金项目(51377167,61402516)
摘    要:为了提高舰船电力系统的运行安全性和设计科学性,研究了舰船电力系统电机控制及配电系统的备件设置对电力系统脆弱性的影响。提出了综合考虑降低费用、重量、体积等约束条件,以多尺度综合脆弱度范数最小与资源消耗规模最小为双目标的优化模型;根据满足率的要求确定舰船电力系统电机控制及配电系统的初始备件配置方案,再利用边际优化方法得到最优备件配置方案。实现在网络结构不变的前提下,通过合理配置节点元件备件数量,达到提高舰船电力系统健壮性的目的。最后以复杂环形舰船电力系统为例对模型及算法进行了验证。

关 键 词:舰船电力系统   综合脆弱度范数   配电系统   备件   边际优化

Allocation Optimization Model for Electrical Machine Control andPower Distribution System Spare Parts
MEI Dan,WANG Gongbao,YE Zhihao,SHEN Jing and FENG Hang. Allocation Optimization Model for Electrical Machine Control andPower Distribution System Spare Parts[J]. Journal of Aerospace Power, 2018, 45(1): 41-45, 63
Authors:MEI Dan  WANG Gongbao  YE Zhihao  SHEN Jing  FENG Hang
Affiliation:College of Sciences, Naval University of Engineering, Wuhan 430033, China;National Key Laboratory for Vessel Integrated Power System Technology,Naval University of Engineering, Wuhan 430033, China,College of Sciences, Naval University of Engineering, Wuhan 430033, China,National Key Laboratory for Vessel Integrated Power System Technology,Naval University of Engineering, Wuhan 430033, China,College of Sciences, Naval University of Engineering, Wuhan 430033, China and College of Sciences, Naval University of Engineering, Wuhan 430033, China
Abstract:In order to improve the safety and design of shipboard power system, the influence of spare parts configuration on the vulnerability of shipboard power network was studied. A twoobjective optimization model was proposed to reduce the cost, quality, volume and other constraints. The objectives of optimization model were norm of comprehensive vulnerability degree and resource consumption scale. The initial allocation spare parts of each node in the shipboard power network were determined according to the satisfaction rate. Then, the optimization model was optimized by the marginal optimization algorithm. The purpose of improving the network robustness of the shipboard power system was realized through the reasonable allocation of spare parts. Finally, the model and the algorithm were verified by the example of complex ring shipboard power network.
Keywords:shipboard power system   norm of comprehensive vulnerability degree   power distribution system   spare parts   marginal optimization
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