دانلود مقاله ISI انگلیسی شماره 55228
عنوان فارسی مقاله

تشخیص جزیره سازی برای DG مبتنی بر اینورتر همراه با استفاده از سیستم استنتاج عصبی - فازی تطبیقی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
55228 2013 13 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 45, Issue 1, February 2013, Pages 443–455

کلمات کلیدی
تولید پراکنده؛ تشخیص جزیره سازی ؛ منطقه غیر تشخیص؛ سیستم استنتاج فازی عصبی تطبیقی ؛ خوشه بندی کاهشی فازی
پیش نمایش مقاله
پیش نمایش مقاله تشخیص جزیره سازی برای DG مبتنی بر اینورتر همراه با استفاده از سیستم استنتاج عصبی - فازی تطبیقی

چکیده انگلیسی

This paper investigates a new integrated diagnostic system for islanding detection by means of a neuro-fuzzy approach for grid-connected inverter-based distributed generation. Islanding is one important concern for grid connected distributed resources due to personnel and equipment safety. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non-detection zone (NDZ), concern has been raised on active method due to its degrading power quality effect. Reliably detecting this condition is regarded by many as an ongoing challenge as existing methods are not entirely satisfactory. The main emphasis of the proposed scheme is to reduce the NDZ to as close as possible and to keep the output power quality unchanged. In addition, this technique can also overcome the problem of setting the detection thresholds inherent in the existing techniques. In this study, we propose to use a hybrid intelligent system called ANFIS (the adaptive neuro fuzzy inference system) for islanding detection. The simulations results, carried out by MATLAB/Simulink, shows that the proposed method has a small non-detection zone. Also, this method is capable of detecting islanding accurately within the minimum standard time. Moreover, for those regions which are in need of a better visualization, the proposed approach would serve as an efficient aid such that the mains power disconnection can be better distinguished.

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پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.