دانلود مقاله ISI انگلیسی شماره 58206
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل رگرسیون و کریجینگ برای برآورد ضریب توان شبکه

عنوان انگلیسی
Regression and kriging analysis for grid power factor estimation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
58206 2014 11 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Electrical Systems and Information Technology, Volume 1, Issue 3, December 2014, Pages 223–233

ترجمه کلمات کلیدی
کریجینگ؛ LLSE؛ اندازه گیری، انتقال و توزیع - شبکه برق؛ واریوگرام
کلمات کلیدی انگلیسی
Kriging; LLSE; PF measurement; Transmission and distribution; Utility grid; Variogram
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل رگرسیون و کریجینگ برای برآورد ضریب توان شبکه

چکیده انگلیسی

The measurement of power factor (PF) in electrical utility grids is a mainstay of load balancing and is also a critical element of transmission and distribution efficiency. The measurement of PF dates back to the earliest periods of electrical power distribution to public grids. In the wide-area distribution grid, measurement of current waveforms is trivial and may be accomplished at any point in the grid using a current tap transformer. However, voltage measurement requires reference to ground and so is more problematic and measurements are normally constrained to points that have ready and easy access to a ground source. We present two mathematical analysis methods based on kriging and linear least square estimation (LLSE) (regression) to derive PF at nodes with unknown voltages that are within a perimeter of sample nodes with ground reference across a selected power grid. Our results indicate an error average of 1.884% that is within acceptable tolerances for PF measurements that are used in load balancing tasks.