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机构地区:[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105
出 处:《辽宁工程技术大学学报(自然科学版)》2017年第7期755-760,共6页Journal of Liaoning Technical University (Natural Science)
摘 要:针对现有的小电流单相故障选线方法灵敏度低和选线速度慢等诸多方面的问题,提出了一种基于粒子滤波和序贯概率比检验(sequential probability ratio test,SPRT)的小电流系统单相接地故障选线方法.通过建立线路的粒子滤波状态空间模型,并利用粒子滤波对系统信息进行跟踪与预测,将得到新的观测值通过序贯概率比检验方法,构造其似然比,并结合阈值进行故障选线判断.实验结果表明:该方法可以显著提高小电流系统故障选线的准确率和可靠性.In view of the problems of low sensitivity and slow speed of the line selection that existes in the small current of single phase ground fault, this paper proposed a method of small current of single phase grounding fault based on particle filter and SPRT (sequential probability ratio test, SPRT). By establishing the particle filter state space model of the system, and using the particle filter to track and predict the system information, the likelihood ratio of the new observation is constructed by the sequential probability ratio test method, and combined with the threshold value to judge the fault line selection. A large number of experimental results show that this method can significantly improve the accuracy and reliability of the small current system fault line selection.
关 键 词:小电流系统 粒子滤波 序贯概率比检验 似然比 阈值 故障选线
分 类 号:TM773[电气工程—电力系统及自动化]
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