基于二进制莱维风驱动算法的船舶岸电系统并网故障诊断方法研究

朱祥兵; 李垣江; 王建华

引用本文:	朱祥兵,李垣江,王建华.基于二进制莱维风驱动算法的船舶岸电系统并网故障诊断方法研究[J].电力系统保护与控制,2018,46(16):89-96.
	ZHU Xiangbing,LI Yuanjiang,WANG Jianhua.Fault diagnosis system about grid connection of shore power based on the improved binary levy wind driven algorithm[J].Power System Protection and Control,2018,46(16):89-96

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基于二进制莱维风驱动算法的船舶岸电系统并网故障诊断方法研究
朱祥兵^1,2,李垣江^1,3,王建华¹
(1.江苏科技大学电子信息学院，江苏镇江 212003;2.江苏耐维思通科技股份有限公司，江苏张家港 215600; 3.江苏奥畋工程科技有限公司，江苏镇江 212050)

摘要:

针对船舶岸电无缝并网过程中出现的过流和继电保护误动作等问题，提出了一种基于改进二进制风驱动算法的船舶岸电并网故障诊断方法。分析船舶岸电系统的继电保护方案，在继电器、断路器拒动/误动条件下研究多种继电保护之间的状态关系及其对岸船电力系统的综合影响。选取适合船舶岸电电力系统故障诊断的数学模型，并利用改进的二进制风驱动算法对模型进行求解。最终，通过故障算例验证了该模型的合理性和改进算法的可靠性。

关键词: 二进制风驱动算法故障诊断船舶岸电

DOI：10.7667/PSPC171145

分类号:

基金项目:国家自然科学基金项目资助(61771225);江苏省重点研发计划社会发展项目资助(BE2016723);江苏省高校自然科学研究项目资助(15KJB510008)

Fault diagnosis system about grid connection of shore power based on the improved binary levy wind driven algorithm

ZHU Xiangbing^1,2,LI Yuanjiang^1,3,WANG Jianhua¹

(1. School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China;2. Jiangsu Navston Technology Co., Ltd, Zhangjiagang 215600, China;3. Jiangsu Ao Tian Engineering Technology Co., Ltd, Zhenjiang 212050, China)

Abstract:

Aiming at the problems of over-current and maloperation of relay protection in the process of seamless operation of ship shore power, a fault diagnosis method based on the improved binary wind driving algorithm for ship shore is proposed. The relay protection scheme of ship shore power system is analyzed, the state relation among various relay protection under the condition of refuse operation/unwanted operation in relays and circuit breakers and its comprehensive influence on shore power system for ships are studied. The suitable mathematical model of fault diagnosis about shore power system for ships is selected and then solved by improved binary wind driven algorithm. Finally, the model is verified by two fault examples, and the rationality of the fault model and the reliability of the algorithm are fully proved. This work is supported by National Natural Science Foundation of China (No. 61771225).

Key words: binary wind driven algorithm fault diagnosis shore power

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