پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 158 |
| تعداد شماره‌ها | 6,228 |
| تعداد مقالات | 67,750 |
| تعداد مشاهده مقاله | 115,084,407 |
| تعداد دریافت فایل اصل مقاله | 89,822,704 |
Solar microgrids fast and accurate fault detection, location and classification strategy using on-line phaselet, current injection kits', traveling-waves, and mathematical morphology | ||
| Journal of Solar Energy Research | ||
| دوره 6، شماره 3، مهر 2021، صفحه 785-798 اصل مقاله (1.08 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22059/jser.2021.311094.1176 | ||
| نویسندگان | ||
| Navid Ghaffarzadeh* 1؛ Mostafa Dodangeh2 | ||
| 1Faculty of Technical and Engineering, Imam Khomeini International University. | ||
| 2Faculty of Technical and Engineering, Imam Khomeini international university | ||
| چکیده | ||
| In this paper, a new fast and accurate method for fault detection, location and classification on multi-terminal direct current (MTDC) distribution networks connected to solar distributed generation and loads presented. Some issues such as DC resources and loads expanding, and try to the power quality increasing have led to MTDC networks' development. It is important to recognize the fault type in order to continue service and prevent further damages. In this method, a circuit kit is connected to the network. Fault detection is performed with the measurement of the current of the connected kits and the traveling-waves of the fault current and applying it to a mathematical morphology filter, in the Fault time. Determine the type and location of faults using a mathematical morphology filter, circuit equations and current calculations. DC series and ground arc faults are considered as DC distribution network disturbances. The presented method was tested in a solar DC network connected to energy storages and solar resources with many faults. The results illustrate the validity of the proposed method. The main advantages of the proposed fault location and classification strategy are higher speed and accuracy than conventional approaches. The fault location error of the presented algorithm is less than 6.5 percent in the worst case. This method robustly operates to changing in sampling frequency [0.5-50 KHz], fault resistance [0.005-120 Ohm], and works very well in high impedance fault. | ||
| کلیدواژه‌ها | ||
| MTDC solar network؛ fault detection and classification؛ mathematical morphology؛ current injection kit؛ on-line phaselet | ||
|
آمار تعداد مشاهده مقاله: 613 تعداد دریافت فایل اصل مقاله: 387 |
||