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Assessments of linear power flow and transmission loss approximations in coordinated capacity expansion problems

Neumann, Fabian 1; Hagenmeyer, Veit ORCID iD icon 1; Brown, Tom 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

With rising shares of renewables and the need to properly assess trade-offs between transmission, storage and sectoral integration as balancing options, building a bridge between energy system models and detailed power flow studies becomes increasingly important, but is computationally challenging.

Here, we compare approximations for two nonlinear phenomena, power flow and transmission losses, in linear capacity expansion problems that co-optimise investments in generation, storage and transmission infrastructure. We evaluate different flow representations discussing differences in investment decisions, nodal prices, the deviation of optimised flows and losses from simulated AC power flows, and the computational performance. By using the open European power system model PyPSA-Eur, we obtain detailed and reproducible results aiming at facilitating the selection of a suitable power flow model.

Given the differences in complexity, the optimal choice depends on the application, the user’s available computational resources, and the level of spatial detail considered. Although the commonly used transport model can already identify key features of a cost-efficient system while being quick to solve, severe deficiencies under high loading conditions arise due to the lack of a physical grid representation. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000145962
Veröffentlicht am 10.05.2022
Originalveröffentlichung
DOI: 10.1016/j.apenergy.2022.118859
Scopus
Zitationen: 30
Web of Science
Zitationen: 22
Dimensions
Zitationen: 34
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2022
Sprache Englisch
Identifikator ISSN: 0306-2619
KITopen-ID: 1000145962
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in Applied Energy
Verlag Elsevier
Band 314
Seiten Art.-Nr.: 118859
Nachgewiesen in Web of Science
Scopus
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 9 – Industrie, Innovation und Infrastruktur
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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