Determination of price zones during transition from uniform to zonal electricity market: A case study for Turkey
dc.contributor.author | Poyrazoğlu, Göktürk | |
dc.date.accessioned | 2022-09-07T10:16:46Z | |
dc.date.available | 2022-09-07T10:16:46Z | |
dc.date.issued | 2021-02 | |
dc.identifier.issn | 1996-1073 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/7835 | |
dc.identifier.uri | https://www.mdpi.com/1996-1073/14/4/1014 | |
dc.description.abstract | 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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | MDPI AG | en_US |
dc.relation.ispartof | Energies | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Determination of price zones during transition from uniform to zonal electricity market: A case study for Turkey | en_US |
dc.type | Article | en_US |
dc.description.version | Publisher version | en_US |
dc.peerreviewed | yes | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-8503-1767 & YÖK ID 280588) Poyrazoğlu, Göktürk | |
dc.contributor.ozuauthor | Poyrazoğlu, Göktürk | |
dc.identifier.volume | 14 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.wos | WOS:000623480700001 | |
dc.identifier.doi | 10.3390/en14041014 | en_US |
dc.subject.keywords | Electricity market | en_US |
dc.subject.keywords | Clustering quality | en_US |
dc.subject.keywords | K-means clustering | en_US |
dc.subject.keywords | Spatially constrained clustering | en_US |
dc.subject.keywords | Zonal pricing | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85106248390 | |
dc.relation.publicationcategory | Article - International Refereed Journal - Institutional Academic Staff |
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