| Yazarlar (3) |
Dr. Öğr. Üyesi Erhan SEZGİN
Kafkas Üniversitesi, Türkiye |
Ebrahım Baloujı
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Özgül Salor Durna
Gazi Üniversitesi, Türkiye |
| Özet |
| Electric Arc Furnaces (EAFs) are key installations of modern steel production due to their operational flexibility, environmental benefits, and energy efficiency. However, nature of the EAF operation is highly dynamic and stochastic due to the fact that electric arcs are used to melt the metal scrap with various compositions specific to each tap-to-tap time of the operation. Although control systems are used to stabilize the arc length and hence the EAF currents, nature of the operation often causes current transients which negatively impact electrode life, energy efficiency, and power quality. The research work in this paper shows that even if the high frequency components are removed by the analogue anti-aliasing filters of the signal conditioning circuits, traces of the transients exist in the sampled signals of the EAF currents. A novel method is proposed to detect and label transient components of EAF currents based on these traces. The approach is tested on both synthetic and field measurements. This approach offers a scalable solution for industries seeking to minimize their impact on the power grid while optimizing furnace performance and diminishing the electrode wear. |
| Anahtar Kelimeler |
| EAF currents | Electric Arc Furnace (EAF) | Power quality | Transient analysis |
| 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 | 2025 IEEE Industry Applications Society Annual Meeting (IAS) |
| Kongre Tarihi | 15-06-2025 / |
| Basıldığı Ülke | Tayvan |
| Basıldığı Şehir | Taıpeı |
| Atıf Sayıları |
