| Yazarlar |
Alperen Mustafa Çolak
|
|
Yuichiro Shibata
|
|
Fujio Kurokawa
|
|
Mehmet Yeşilbudak
Nevşehir Hacı Bektaş Veli Üniversitesi, Türkiye |
Dr. Öğr. Üyesi Salih ERMİŞ
Ahi Evran Üniversitesi, Türkiye |
|
Ramazan Bayındır
Gazi Üniversitesi, Türkiye |
| Özet |
| Smart grid systems include many different power sources such as renewable and fossil energy basis. While collecting all type of energy on the grid, phase order, frequency, maximum voltage value and synchronization time of each power station should be known for a smooth operation of the smart grid. Therefore, the detection of peak values of grid voltages will help the smart operators to connect all power sources to the grid without having problems like voltage collapse, over voltage, over current and shutting down the power station. For this purpose, in an effective and efficient manner, we compare the original AMPD and the modified AMPD methods in terms of the peak point detection performance, analyze how the modified AMPD method is used for the phase-to-phase effective voltage values and show how FPGAs are able to accelerate the detection time as on-line. |
| Anahtar Kelimeler |
| Automatic multiscale-based peak detection | Phase-to-phase effective voltages, comparison | Smart grid |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayımlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA) |
| Kongre Tarihi | 05-11-2017 / 08-11-2017 |
| Basıldığı Ülke | Amerika Birleşik Devletleri |
| Basıldığı Şehir |
| Atıf Sayıları | |
| SCOPUS | 4 |
| Google Scholar | 3 |
