Determination of harmonic current contributions based on robust state estimation
Yazarlar (3)
Dr. Öğr. Üyesi Erhan SEZGİN Kafkas Üniversitesi, Türkiye
Prof. Dr. Murat Göl Middle East Technical University (Metu), Türkiye
Özgül Salor
Gazi Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Turkish Journal of Electrical Engineering and Computer Sciences
Dergi ISSN 1300-0632 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 01-2018
Kabul Tarihi Yayınlanma Tarihi 01-01-2018
Cilt / Sayı / Sayfa 26 / 1 / 307–317 DOI 10.3906/elk-1607-143
Makale Linki http://online.journals.tubitak.gov.tr/openDoiPdf.htm?mKodu=elk-1607-143
UAK Araştırma Alanları
İşaret İşleme
Özet
In this paper, a state estimation based method is proposed to determine harmonic current contributions of plants supplied from a point of common coupling (PCC). This work mainly aims to reduce gross error of capacitive voltage transformer (CVT) measurements at harmonic frequencies using robust weighted least absolute value (WLAV) state estimation method, which provides the optimum state estimates for harmonic voltages in the presence of a redundant enough measurement set. Estimated harmonic voltages are then used to solve the harmonic current contribution problem based on superposition theorem. It has been shown that the proposed method can provide optimum harmonic estimates when CVTs are used. The use of the proposed method with proper measurement placement makes resistive-capacitive voltage transformers (RCVTs) redundant. Results of the proposed method are comparable with measurements of RCVTs, which have the disadvantages of having high costs and being cumbersome to install.
Anahtar Kelimeler
Harmonic current contribution | Power quality | State estimation | Weighted least absolute value estimation
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Scopus 1
Google Scholar 1
Determination of harmonic current contributions based on robust state estimation

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