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Incorporating power transmission bottlenecks into aggregated energy system models

Cao, K.-K.; Metzdorf, J.; Birbalta, S.

Energy scenario analyses are able to provide insights into the future and possible strategies for coping with challenges such as the integration of renewable energy sources. The models used for analyzing and developing future energy systems must be simplified, e.g., due to computational constraints. Therefore, grid-related effects and regional differences are often ignored. We tackle this issue by presenting a new methodology for aggregating spatially highly resolved transmission grid information for energy system models. In particular, such approaches are required in studies that evaluate the demand for spatially balancing power generation and consumption in future energy systems. Electricity transmission between regions is crucial, especially for scenarios that rely on high shares of renewable energy sources. The presented methodology estimates transmission line congestions by evaluating the nodal price differences and then applies a spectral clustering on these particular link attributes. The objective of the proposed approach is to derive aggregated model instances that preserve information regarding electricity transmission bot ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000083776
Veröffentlicht am 25.06.2018
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Deutsch-Französisches Institut für Umweltforschung (DFIU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 2071-1050
KITopen-ID: 1000083776
Erschienen in Sustainability
Band 10
Heft 6
Seiten 1916
Schlagworte energy scenario; power system modeling; spectral clustering; spatial aggregation; grid and storage expansion
Nachgewiesen in Scopus
Web of Science
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