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Agent-Based Generation and Storage Expansion Planning in Interconnected Electricity Markets

Fraunholz, Christoph; Keles, Dogan; Fichtner, Wolf

Abstract (englisch):
This paper introduces a novel algorithm to solve the generation expansion planning problem in interconnected electricity markets. Starting from an individual investor’s perspective, a stable Nash-equilibrium is determined by iteratively adjusting the investment decisions of all players. Both, generation technologies and storage units using arbitrage trading can be considered as investment options. The new method also allows for consideration of capacity remuneration mechanisms and technological learning.

In an illustrative case study, the developed algorithm is embedded into the agent-based simulation model PowerACE and applied to a multi-country long-term scenario analysis. Results show high investment incentives in countries using a capacity remuneration mechanism as well as related cross-border effects in other countries that rely on an energy-only market design. These findings confirm the suitability of the methodology for long-term analyses of interconnected electricity markets.

DOI: 10.1109/EEM.2019.8916348
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 09.2019
Sprache Englisch
Identifikator ISBN: 978-1-72811-257-2
KITopen-ID: 1000100466
Erschienen in 2019 16th International Conference on the European Energy Market (EEM), Ljubljana, Slovenia, Slovenia, 18-20 Sept. 2019
Verlag IEEE, Piscataway (NJ)
Projektinformation AverS-KIT (BMWi, 0324002A)
REFLEX (EU, H2020, 691685)
Schlagwörter agent-based modeling, generation expansion planning, interconnected electricity markets, Nash-equilibrium, storage expansion planning
Nachgewiesen in Scopus
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