| 辨识谐波电流监测数据中异常数据的一种方法研究 |
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| 引用本文： | 马智远,崔晓飞,黄裕春,王 艳,符 玲,臧天磊.辨识谐波电流监测数据中异常数据的一种方法研究[J].电力系统保护与控制,2016,44(21):96-102. |
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| 作者姓名： | 马智远 崔晓飞 黄裕春 王 艳 符 玲 臧天磊 |
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| 作者单位： | 广州供电局有限公司电力试验研究院，广州 广东 510410,广州供电局有限公司电力试验研究院，广州 广东 510410,广州供电局有限公司电力试验研究院，广州 广东 510410,西南交通大学电气工程学院，四川 成都 610031,西南交通大学电气工程学院，四川 成都 610031,西南交通大学电气工程学院，四川 成都 610031 |
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| 基金项目： | 国家自然科学基金项目(51407150);四川省科技创新苗子工程项目(2015099);四川省科技支撑计划项目(2016RZ0079) |
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| 摘 要： | 针对谐波电流监测数据中的异常数据影响谐波源定位和谐波责任划分准确性的问题，根据实测谐波电流数据的统计特性，采用三参数威布尔分布建立谐波电流监测数据的概率分布模型。利用最小二乘法估计三参数威布尔分布的形状参数、尺度参数和位置参数，在参数估计的基础上，得到谐波数据主体分布区间，并据此确定谐波电流异常阈值。仿真结果表明谐波电流监测数据较好地服从三参数威布尔分布，所提出的谐波电流异常监测数据辨识方法能够有效识别谐波电流监测中的异常数据。
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| 关 键 词： | 谐波电流监测 异常数据 三参数威布尔分布 参数估计 |
| 收稿时间： | 2015/10/14 0:00:00 |
| 修稿时间： | 2016/1/18 0:00:00 |
A detection method of abnormal harmonic current monitoring data |
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| MA Zhiyuan,CUI Xiaofei,HUANG Yuchun,WANG Yan,FU Ling and ZANG Tianlei.A detection method of abnormal harmonic current monitoring data[J].Power System Protection and Control,2016,44(21):96-102. |
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| Authors: | MA Zhiyuan CUI Xiaofei HUANG Yuchun WANG Yan FU Ling and ZANG Tianlei |
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| Affiliation: | Guangzhou Power Supply Bureau Electric Power Research Institute, Guangzhou 510410, China,Guangzhou Power Supply Bureau Electric Power Research Institute, Guangzhou 510410, China,Guangzhou Power Supply Bureau Electric Power Research Institute, Guangzhou 510410, China,School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China,School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China and School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | A few abnormal data stored in harmonic current monitoring data affects the accuracy of the harmonic source localization and harmonic division of responsibilities. For this problem, according to the statistical characteristics of the measured harmonic current data, the harmonic current monitoring data distribution model is established using three-parameter Weibull probability distribution, the least squares method is used to estimate the shape parameter, scale parameters and location parameters of Weibull distribution. On the basis of the three-parameter Weibull distribution parameter estimation results, the total sample interval is obtained in order to determine the harmonic current anomaly threshold. The simulation results show that Weibull distribution has better adaptability for harmonic current characteristic, the method proposed in this paper can identify the abnormal data effectively. This work is supported by National Natural Science Foundation of China (No. 51407150). |
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| Keywords: | harmonic current monitoring abnormal data three-parameter Weibull distribution parameter estimation |
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