دانلود مقاله ISI انگلیسی شماره 146788
ترجمه فارسی عنوان مقاله

تأثیر قرار دادن ژنراتورهای بر پایه در شبکه توزیع در حاشیه ثبات سیگنال کوچک و از دست رفتن شبکه

عنوان انگلیسی
Effect of placement of droop based generators in distribution network on small signal stability margin and network loss
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
146788 2017 11 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 88, June 2017, Pages 108-118

ترجمه کلمات کلیدی
میکروگرید جزیره، کنترل خنثی، حاشیه ثبات سیگنال کوچک،
کلمات کلیدی انگلیسی
Islanded microgrid; Droop control; Small signal stability margin;
پیش نمایش مقاله
پیش نمایش مقاله  تأثیر قرار دادن ژنراتورهای بر پایه در شبکه توزیع در حاشیه ثبات سیگنال کوچک و از دست رفتن شبکه

چکیده انگلیسی

For a utility-connected system, issues related to small signal stability with Distributed Generators (DGs) are insignificant due to the presence of a very strong grid. Optimally placed sources in utility connected microgrid system may not be optimal/stable in islanded condition. Among others issues, small signal stability margin is on the fore. The present research studied the effect of location of droop-controlled DGs on small signal stability margin and network loss on a modified IEEE 13 bus system, an IEEE 33-bus distribution system and a practical 22-bus radial distribution network. A complete dynamic model of an islanded microgrid was developed. From stability analysis, the study reports that both location of DGs and choice of droop coefficient have a significant effect on small signal stability, transient response of the system and network losses. The trade-off associated with the network loss and stability margin is further investigated by identifying the Pareto fronts for modified IEEE 13 bus, IEEE 33 and practical 22-bus radial distribution network with application of Reference point based Non-dominated Sorting Genetic Algorithm (R-NSGA). Results were validated by time domain simulations using MATLAB.