کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6859054 1438696 2019 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel smart meter technique for voltage and current estimation in active distribution networks
ترجمه فارسی عنوان
یک روش جدید هوشمند برای تخمین ولتاژ و جریان در شبکه های توزیع فعال
کلمات کلیدی
تخمین فعلی، ژنراتور توزیع، متر هوشمند، برآورد ولتاژ،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
For distribution network operators to make effective decisions about real-time applications, they should have complete knowledge of all system variables. However, measuring all variables is infeasible due to the large number of system buses and the consequently high cost of measurement devices. Network operators are thus in serious need of methods that can estimate system voltages and currents with only a few measuring devices. This paper presents a novel voltage, current, and power loss estimation technique for distribution networks characterized by a high level of distributed generation (DG) penetration. The proposed method is based on online measurements from smart meters (SMs) placed at a few selected locations in addition to the measurements from DGs production meters; the estimation is derived without any pseudo measurements. The ingenuity of the proposed technique is that the SM locations are dependent on the network topology only, which means that their locations remain unchanged regardless of penetration levels and/or DG injection points. The proposed technique also includes consideration of variations in X/R ratios and laterals. The developed algorithm was implemented and tested on three radial distribution feeders to show the capability of the proposed technique for estimation for balanced as well as unbalanced distribution networks. The results of a comparison with the actual load flow demonstrate the accuracy and effectiveness of the new technique.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 104, January 2019, Pages 301-310
نویسندگان
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