大型电力网络电气传动故障检测方法仿真研究  

Fault Detection of Electric Transmission for Large Power Network

作　　者：李皓婧[1] 张克磊[2] 

机构地区：[1]云南大学信息学院,云南昆明650091 [2]河南师范大学物理与信息工程学院,河南新乡453007

出　　处：《计算机仿真》2015年第9期163-166,共4页Computer Simulation

摘　　要：在大型电力网络电气传动故障检测优化问题的研究中,由于系统的复杂性较高,处理起来具有一定难度,造成具有检测周期长、耗时长、低信度的弊端,提出采用独立变量分析优化算法的大型电力网络电气传动故障检测方法。根据故障发生时的紧急程度,对故障进行分类,建立电气传动的故障模型,依据相关理论对初始观测数据进行预处理,提高电气传动故障的检测效率,根据独立变量分析优化算法对预处理后的观测变量进行分析,提取特征向量,分析观测数据偏离标准的程度,从而实现大型电力网络电气传动故障的有效检测。实验结果表明,采用改进算法进行大型电力网络电气传动故障检测,能够提高故障检测的准确率、降低检测误差,为大型电力网络的安全提供数据支撑,满足实际生产需求。A fault detection method of electric transmission for large power network is presented based on optimi- zation algorithm of the independent variables. Depending on the fault urgency, the fault is classified, a fault model of electrical transmission is set up, the initial observed data are preprocessed, and the efficiency of the electric transmis- sion fault detection is improved. The preprocessed variables are analyzed according to the optimization algorithm of the independent variables, the feature vector is extracted, the degree of deviation from the standard of observed data is analyzed, and the fault detection of electric transmission for large power network is effectively realized. The experi- mental results show that the proposed algorithm can improve the accuracy of fault detection and reduce the measure error.

关 键 词：大型电力网络 电气传动故障 故障检测 独立变量分析 

分 类 号：TP155[自动化与计算机技术—控制理论与控制工程]