| 引用本文: | 邵振国,吴瑾樱,苏文博.面向海量历史监测数据的谐波污染用户统计建模方法[J].电力自动化设备,2016,36(8): |
| SHAO Zhenguo,WU Jinying,SU Wenbo.Statistical modeling based on massive historical monitoring data for harmonic pollution customer[J].Electric Power Automation Equipment,2016,36(8): |
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| 摘要: |
| 针对大部分用户历史监测数据只保留接入点电压、电流谐波幅值的情形，提出了一种基于幅值监测数据的谐波用户建模方法，同时利用拉丁超立方采样处理海量监测数据，辨识模型参数。利用所提方法对一组实际监测数据进行统计建模以分析实际的谐波污染用户，结果证明了所提方法的快速性和有效性。 |
| 关键词: 谐波污染 谐波分析 建模 监测数据 拉丁超立方采样 概率分布 |
| DOI： |
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| 基金项目:福建省自然科学基金资助项目（2012J01203）；福建省科技计划重点项目（2013H0024） |
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| Statistical modeling based on massive historical monitoring data for harmonic pollution customer |
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SHAO Zhenguo, WU Jinying, SU Wenbo
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College of Electrical Engineering and Automation，Fuzhou University，Fuzhou 350116，China
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| Abstract: |
| Since the reserved historical monitoring data of most customers are only the amplitudes of harmonic voltage and current at the coupling point，a method based on the monitored measurements of harmonic voltage and current is proposed to build the model of harmonic pollution customer，which treats the massive historical monitoring data by the Latin hypercube sampling for identifying the model parameters. The proposed method is applied to the statistical modelling based on the practical monitoring data for analyzing the actual harmonic pollution of customer and the simulative results show its rapidity and validity. |
| Key words: harmonic pollution harmonic analysis modelling monitoring data Latin hypercube sampling probability distribution |
