کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7112329 | 1460855 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparative evaluation of common passive filter types regarding maximization of transformer's loading capability under non-sinusoidal conditions
ترجمه فارسی عنوان
ارزیابی مقایسه ای از انواع فیلترهای منفعل مشترک در مورد حداکثر توان بارگیری ترانسفورماتور در شرایط غیر سینوسی
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کلمات کلیدی
هارمونیک، بارهای غیر خطی، قابلیت بارگذاری ترانسفورماتور، فیلترهای هارمونیک منفعل،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
This study aims to comparatively evaluate the widely known five passive harmonic filters as single-tuned, double-tuned, triple-tuned, damped-double tuned and C-type ones by regarding their contribution on the loading capability improvement of the transformers under non-sinusoidal conditions. For the comparative evaluation, the studied filter types are optimally designed to minimize the harmonic loss factor index, which is defined as a tool to determine the transformer's permissible loading capability under non-sinusoidal current conditions in IEEE C.57.110 standard. According to the harmonic distortion limitations and the reactive power compensation level recommended in IEEE 519 standard, the individual and total harmonic distortions of voltage and current at point of common coupling and displacement power factor are considered as constraints of the studied optimal filter design problems. Whales optimization (WO) algorithm, which has recently been introduced in the literature, is used to find the optimal filter solutions. To show the validity of the obtained optimal filter designs, the results are also provided via Particle Swarm Optimization (PSO) algorithm. The simulation results show that the studied filters can be ranked from the best to worst as triple-tuned, damped double-tuned, double-tuned, C-type and single-tuned ones in terms of their performance on the transformer's loading capability improvement. It is also seen from the simulations that the results of WO and PSO algorithms are very close to each other, and WO algorithm achieves optimal design solutions with considerably lower iteration numbers and run times.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 158, May 2018, Pages 324-334
Journal: Electric Power Systems Research - Volume 158, May 2018, Pages 324-334
نویسندگان
Alp Karadeniz, Murat Erhan Balci,