Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario
Eric Guerci and
Mohammad Ali Rastegar ()
Additional contact information
Mohammad Ali Rastegar: MBE Group at Amirkabir University of Technology
Chapter Chapter 12 in Managing Market Complexity, 2012, pp 141-153 from Springer
Abstract:
Abstract A realistic agent-based computational model of the day-ahead market session of the Italian wholesale electricity market is simulated to compare market performances between system-marginal-price and pay-as-bid clearing mechanisms. An empirical validation of computational results at a macro-level is performed to test for accuracy of simulated outcomes with historical ones. The level of prices are accurately reproduced except for few peak hours. As far as concerns pay-as-bid auction, the computational experiments point out that it results in higher market prices than the system-marginal-price auction. In the pay-as-bid mechanism, sellers’ endeavours to maximize their profits are more costly thus leading to higher price levels
Keywords: Power Plant; Electricity Market; Total Cost Function; Locational Marginal Price; Tacit Collusion (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-31301-1_12
Ordering information: This item can be ordered from
http://www.springer.com/9783642313011
DOI: 10.1007/978-3-642-31301-1_12
Access Statistics for this chapter
More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().