دانلود مقاله ISI انگلیسی شماره 55205
ترجمه فارسی عنوان مقاله

تشخیص جزیره ای شدن پیشرفته مورد استفاده در سیستم های توزیع با ژنراتور القایی دو سو تغذیه

عنوان انگلیسی
Advanced islanding detection utilized in distribution systems with DFIG
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
55205 2014 11 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 63, December 2014, Pages 113–123

ترجمه کلمات کلیدی
جزیره؛ ROCOF؛ ژنراتور القایی دو سو تغذیه ؛ تابع بهم قفل
کلمات کلیدی انگلیسی
Islanding; ROCOF; DFIG; Interlock function
پیش نمایش مقاله
پیش نمایش مقاله  تشخیص جزیره ای شدن پیشرفته مورد استفاده در سیستم های توزیع با ژنراتور القایی دو سو تغذیه

چکیده انگلیسی

The penetration of distributed generation (DG) in electrical power systems is rapidly increasing these days and more attention is drawn to maintain a healthy distribution system. Islanding operation of DGs is one of the biggest challenges to the distribution system stability. Fast and accurate islanding detection can avoid the possibility of damages to the DGs when they are un-intentionally reconnected to the grid and also provide useful information to the protection and automation design of the stand alone operated system. Rate of change of frequency (ROCOF) method is one of the most commonly employed anti-islanding protection techniques, it offers fast detection and easy implementation. However, it is often easily affected by the system disturbance and might not able to detect the islanding situation if the power imbalance between the DG and the load is small. This paper investigates an inter-lock method which can improve the performance of rate of change of frequency (ROCOF) by applying system impedance estimation. It was found that this new method can help in verifying the ROCOF relay islanding detection and avoiding false operations of ROCOF in a grid connected distribution system which has large load variations. The proposed method was verified using the experimental testing results derived from both an experimental testing model which includes an 8 kW Double Feed Induction Generator (DFIG) and a 9 MW DFIG simulation system.