Optimal Storage and Transmission Investments in a Bilevel Electricity Market Model

Title data

Weibelzahl, Martin ; Märtz, Alexandra:
Optimal Storage and Transmission Investments in a Bilevel Electricity Market Model.
In: Annals of Operations Research. Vol. 287 (2020) . - pp. 911-940.
ISSN 1572-9338
DOI: https://doi.org/10.1007/s10479-018-2815-1

Official URL:

Abstract in another language

This paper analyzes the interplay of transmission and storage investments in a multistage game that we translate into a bilevel market model. In particular, on the first level we assume that a transmission system operator chooses an optimal line investment and a corresponding optimal network fee. On the second level we model competitive firms that trade energy on a zonal market with limited transmission capacities and decide on their optimal storage facility investments. To the best of our knowledge, we are the first to analyze interdependent transmission and storage facility investments in a zonal market environment that accounts for the described hierarchical decision structure. As a first best benchmark, we also present an integrated, single-level problem that may be interpreted as a long-run nodal pricing model. Our numerical results show that adequate storage facility investments of firms may in general have the potential to reduce the amount of line investments of the transmission system operator. However, our bilevel zonal pricing model may yield inefficient investments in storages, which may be accompanied by suboptimal network facility extensions as compared to the nodal pricing benchmark. In this context, the chosen zonal configuration of the network as well as the planning objective of the transmission system operator will highly influence the equilibrium investment outcomes including the size and location of the newly invested facilities. As zonal pricing is used for instance in Australia or Europe, our models may be seen as valuable tools for evaluating different regulatory policy options in the context of long-run investments in storage and network facilities.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Institutions of the University:	Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	03 May 2018 06:38
Last Modified:	22 Jun 2020 07:11
URI:	https://eref.uni-bayreuth.de/id/eprint/43975