کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6859213 | 1438698 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A framework for automatically cleansing overvoltage data measured from transmission and distribution systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Overvoltage data collected by the measurement systems in substations contain vital information about the power grid. With the development of smart grids, the mining and processing of this overvoltage data are of increasing significance. Unfortunately, there is currently no way of preventing error waveforms from being incorporated into the overvoltage database. In this paper, a cleansing framework for the measured overvoltage data is proposed. By automatically extracting and clustering features, error waveforms at the substation can be successfully isolated. In terms of implementation, a step-by-step scheme for pre-cleansing and full cleansing is established to improve the quality of the overvoltage data. Experimental results using measured overvoltage data demonstrate the effectiveness of the proposed solution. The proposed method and framework support the cleansing of overvoltage data, and are conducive to the analysis of the generation, propagation, and distribution characteristics of the overvoltages.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 102, November 2018, Pages 381-392
Journal: International Journal of Electrical Power & Energy Systems - Volume 102, November 2018, Pages 381-392
نویسندگان
Wenxia Sima, Han Zhang, Ming Yang, Tao Yuan, Potao Sun, Qinzhu Chen, Hailong Zhao,