引用本文:闫旭,李春明.基于模糊逻辑的可控串补线路故障分类[J].电力系统保护与控制,2016,44(5):122-127.
YAN Xu,LI Chunming.Fuzzy-logic-based fault classification in a series compensated transmission line[J].Power System Protection and Control,2016,44(5):122-127
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基于模糊逻辑的可控串补线路故障分类
闫旭1, 李春明2
1.内蒙古工业大学电力学院,内蒙古自治区 呼和浩特 010000;2.内蒙古工业大学信息工程学院,内蒙古自治区 呼和浩特 010000
摘要:
提出一种基于模糊逻辑的可控串补线路故障分类方法。采集故障后半个周期的三相电流数据,选取db4小波作为小波基,使用离散小波变换(DWT)分解电流暂态信号,将小波分解系数划分为三个频带,计算每个频带的小波奇异熵,获得能反映不同故障的故障特征量。将特征量作为模糊逻辑的输入,构建模糊故障分类系统。在Matlab环境下建立电力系统模型,选择500 kV、300 km超高压输电线路进行故障仿真。仿真结果表明,不同的TCSC触发角下,该算法不受故障阻抗、故障初始角、故障类型、故障位置的影响,可以准确检测故障,完成故障分类。
关键词:  可控补偿输电线路  故障分类  TCSC  DWT  模糊逻辑
DOI:10.7667/PSPC150810
分类号:
基金项目:
Fuzzy-logic-based fault classification in a series compensated transmission line
YAN Xu1, LI Chunming2
1.College of Electrical Engineering, Inner Mongolia University of Technology, Hohhot 010000, China;2.College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010000, China
Abstract:
This paper presents a fuzzy-logic technique for fault classification in a series compensated transmission line. The proposed method uses the samples of three line currents for half cycle duration to accomplish this task. Daubechies wavelet “dB4” is used with single level decomposition. The features of the line currents are extracted using discrete wavelet transform. The wavelet decomposition coefficient are divided into three bands to calculate the wavelet singular entropy of every frequency band to obtain the characteristics of the different failure. The extracted features are applied as inputs to the fuzzy logic for fault classification. To evaluate the feasibility of the proposed technique, it is tested on a 500 kV, 300 km transmission line for all the ten types of fault using Matlab. Simulation result indicates that the proposed approach has a good performance and it won’t be affected by fault resistances, fault inception angle, faulty types and fault distances at different TCSC firing angles.
Key words:  series compensated transmission line  fault classification  TCSC  DWT  fuzzy logic
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