Determination of price zones during transition from uniform to zonal electricity market: A case study for Turkey

العنوان Determination of price zones during transition from uniform to zonal electricity market: A case study for Turkey
المؤلف Poyrazoğlu, Göktürk
تاريخ النشر: 2021-02
مكان النشر - MDPI AG
الموضوع Electricity market, Clustering quality, K-means clustering, Spatially constrained clustering, Zonal pricing
النوع دورية
اللغة الإنجليزية
رقمي نعم
مخطوط لا
المكتبة: جامعة اوزيجين
معرف أصل المكتبة 1996-1073
رقم السجل 0c331aee-8d8d-4268-817c-796ea4fd57ff
موقع المكتبة Electrical & Electronics Engineering
التاريخ 2021-02
نص عينة 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
عرض في المصدر جامعة اوزيجين Özyeğin Üniversitesi
Özyeğin Üniversitesi جامعة اوزيجين

Determination of price zones during transition from uniform to zonal electricity market: A case study for Turkey

المؤلف Poyrazoğlu, Göktürk
تاريخ النشر 2021-02
مكان النشر - MDPI AG
الموضوع Electricity market, Clustering quality, K-means clustering, Spatially constrained clustering, Zonal pricing
النوع دورية
اللغة الإنجليزية
رقمي نعم
مخطوط لا
المكتبة جامعة اوزيجين
معرف أصل المكتبة 1996-1073
رقم السجل 0c331aee-8d8d-4268-817c-796ea4fd57ff
موقع المكتبة Electrical & Electronics Engineering
التاريخ 2021-02
نص عينة 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
Özyeğin Üniversitesi
جامعة اوزيجين يتم إعادة توجيهك...

يرجى الانتظار