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Merchant and regulated storage investment in energy and reserve markets : A Stackelberg game

Title data

Guo, Peiyao ; Hamacher, Thomas ; Perić, Vedran S.:
Merchant and regulated storage investment in energy and reserve markets : A Stackelberg game.
In: IET Generation, Transmission & Distribution. Vol. 17 (2023) Issue 14 . - pp. 3168-3183.
ISSN 1751-8695
DOI: https://doi.org/10.1049/gtd2.12887

Project information

Project title:
Project's official title
Project's id
Optimierung integrierter niederkalorischer bidirektionaler thermischer und elektrischer Netze - IntElHeat
450821044

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

With large-scale integration of renewable generation, energy storage is expected to play an important role in providing flexibility to energy systems. In this paper, the authors construct a trilevel Stackelberg game model to study the co-investment of merchant and regulated storage in energy and reserve markets. The upper-level problem is a profit-maximizing storage investment problem with a desired rate-of-return solved by a merchant investor. In the middle-level problem, the system operator (SO) makes regulated storage investment decisions to minimize system cost. In the lower-level problem, the SO clears energy and reserve markets. The proposed model captures interactions of regulated and merchant storage investment. Also, it clarifies how different ownership structures of storage influence merchant storage profitability and system cost structures in different capital cost of storage investment and wind penetration level scenarios. The numerical results conducted on a 6-bus illustrative example and the IEEE 24-bus Reliability test case validate the proposed model. The results show that both regulated and merchant storage can increase social welfare, and social welfare remains almost the same under different ownership structures of storage.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Intelligent Energy Management > Chair Intelligent Energy Management - Univ.-Prof. Dr. Vedran Peric
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 25 Mar 2026 06:31
Last Modified: 25 Mar 2026 06:31
URI: https://eref.uni-bayreuth.de/id/eprint/96154