Author
Poyrazoğlu, Göktürk
Publication Date
2021-02
Publication Place
-
MDPI AG
Subject
Electricity market, Clustering quality, K-means clustering, Spatially constrained clustering, Zonal pricing
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1996-1073
Record ID
0c331aee-8d8d-4268-817c-796ea4fd57ff
Library Location
Electrical & Electronics Engineering
Date
2021-02
Sample Text
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
