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机构地区:[1]中国石油大学信息与控制工程学院,山东东营257061
出 处:《电力系统保护与控制》2011年第24期22-27,34,共7页Power System Protection and Control
基 金:国家自然科学基金项目(60971077);山东省自然科学基金项目(ZR2009FM061)~~
摘 要:为快速、准确、可靠地对含分布式电源的多分支配电网故障区间定位,基于小波分析技术提出了含有分布式电源配电网的故障区间定位方法。首先通过仿真分析不同故障类型的故障电流原始信号的变化规律。其次,应用小波变换对故障电流原始信号的奇异性变化进行分析,比较各频段的小波分解系数的奇异性变化,寻找出一种可用于故障区间定位的特征量,实现配电网的故障区间定位。仿真分析表明,此种方法简单、运行速度快,定位准确率高,不受过渡电阻等随机因素影响。In order to locate the fault region for distribution networks with distributed generators rapidly, accurately and reliably, a new fault locating method based on wavelet transform technique is proposed. First of all, pretreat the fault current signal to distill the regulation at different fault types. Secondly, analyze the singularity of fault current signal using the wavelet transform and compare the singularity of different tier wavelet decomposition coefficient. Then find out the fault features of the coefficient to locate the fault. The simulation results show that this method is simple and able to accurately locate the fault at a high running speed in various fault modes and is free from the influence of the random factors such as fault transition resistance and so on. This work is supported by National Natural Science Foundation of China (No. 60971077) and Natural Science Foundation of Shandong Province(No.ZR2009FM061 ).
分 类 号:TM711[电气工程—电力系统及自动化]
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