基于QGA的船舶电力系统故障诊断仿真研究  

Simulation Research on Fault Diagnosis of Ship Power System Based on QGA

作　　者：袁泉 郑聪 周海峰[1,2] 蒋鹏 郑东强 林忠华[3] 黄金满[4] YUAN Quan;ZHENG Cong;ZHOU Hai-feng;JIANG Peng;ZHENG Dong-qiang;LIN Zhong-hua;HUANG Jin-man(College of Marine Engineering,Jimei University,Xiamen Fujian 361021,China;Fujian Key Laboratory of Naval Architecture and Ocean Engineering,Xiamen Fujian 361021,China;College of Marine Equipment and Mechanical Engineering,Jimei University,Xiamen Fujian 361021,China;Xiamen Anmaixin Automation Technology Co.LTD,Xiamen Fujian 361026,China)

机构地区：[1]集美大学轮机工程学院,福建厦门361021 [2]福建省船舶与海洋工程重点实验室,福建厦门361021 [3]集美大学海洋装备与机械工程学院,福建厦门361021 [4]厦门安麦信自动化科技有限公司,福建厦门361026

出　　处：《广州航海学院学报》2023年第1期18-23,共6页Journal of Guangzhou Maritime University

基　　金：福建省自然科学基金项目(2021J01839,2018J01495);福建省教育厅项目(JAT200242,JAT170318);集美大学安麦信产学研项目(S20127)。

摘　　要：为了及时准确地发现船舶电力系统故障区域或故障元件,在考虑到断路器不同保护时段内动作状态的基础上,构建0-1整数规划的诊断模型,利用量子遗传算法QGA(Quantum Genetic Algorithm)诊断方法对测试系统中的故障算例进行仿真测试.测试结果表明,在处理相同故障算例的前提下,与传统的遗传算法诊断方法相比,量子遗传算法诊断方法的收敛速度快,稳定性强.In order to find the fault area or fault component timely and accurately when a fault occurs in the ship power system,the 0-1 integer programming diagnosis model is constructed based on considering the operation state of the circuit breaker in different protection periods.The Quantum Genetic Algorithm(QGA)is used to simulate the fault calculation in the test system.The test results show that,compared with the Traditional Genetic Algorithm,the Quantum Genetic Algorithm has faster convergence speed and stronger stability under the premise of handling the same fault case.

关 键 词：电力系统 故障诊断 遗传算法 量子遗传算法 0-1整数规划 

分 类 号：TM771[电气工程—电力系统及自动化] TM772TM773