Yazar
Poyrazoğlu, Göktürk
Basım Tarihi
2021-02
Basım Yeri
-
MDPI AG
Konu
Electricity market, Clustering quality, K-means clustering, Spatially constrained clustering, Zonal pricing
Tür
Süreli Yayın
Dil
İngilizce
Dijital
Evet
Yazma
Hayır
Kütüphane
Özyeğin Üniversitesi
Demirbaş Numarası
1996-1073
Kayıt Numarası
0c331aee-8d8d-4268-817c-796ea4fd57ff
Lokasyon
Electrical & Electronics Engineering
Tarih
2021-02
Örnek Metin
In the electricity market, different pricing models can be applied to increase market competitiveness. Different electricity systems use different market structures. Uniform marginal pricing, zonal marginal pricing, and nodal marginal pricing methods are commonly used market structures. For markets wishing to move from a uniform pricing structure to a more competitive zonal pricing structure, the determination of price zones is critical for achieving a competitive market that generates accurate price signals. Three different pricing zone detection algorithms are analyzed in this paper including the k-means clustering and queen/rook spatially constraint clustering. Finally, the results of a case study for the Turkish electricity system are shared to compare each method.
DOI
10.3390/en14041014
Cilt
14
