LAPSE:2023.29203
Published Article
LAPSE:2023.29203
Modelling Bidding Behaviour on German Photovoltaic Auctions
Enikő Kácsor
April 13, 2023
Abstract
In this article renewable energy support allocation through different types of auctions are assessed. The applied methodological framework is auction theory, based on the rules governing the German photovoltaic (PV) Feed-in Premium (FIP) auctions. The work focuses on bidding strategies based on an extended levelised cost of electricity (LCOE) methodology, comparing two different set of rules: uniform price and pay-as-bid. When calculating the optimal bids an iteration is developed to find the Nash-equilibrium optimal bidding strategy. When searching for the bid function, not only strictly monotone functions, but also monotone functions are considered, extending the framework typically applied in auction theory modelling. The results suggest that the PV support allocation in the German auction system would be more cost efficient using the uniform pricing rule, since many participants bid above their true valuation in the pay-as-bid auction Nash-equilibrium. Thus from a cost minimising perspective, the application of uniform pricing rule would be a better policy decision.
Keywords
auction, optimal bidding, pay-as-bid, renewable, uniform price
Suggested Citation
Kácsor E. Modelling Bidding Behaviour on German Photovoltaic Auctions. (2023). LAPSE:2023.29203
Author Affiliations
Kácsor E: Regional Centre for Energy Policy Research, REKK, Corvinus University of Budapest, 1093 Budapest, Hungary
Journal Name
Energies
Volume
14
Issue
2
Article Number
en14020516
Year
2021
Publication Date
2021-01-19
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14020516, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.29203
This Record
External Link

https://doi.org/10.3390/en14020516
Publisher Version
Download
Files
Apr 13, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
174
Version History
[v1] (Original Submission)
Apr 13, 2023
 
Verified by curator on
Apr 13, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.29203
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version