 Agent-based modeling of wholesale electricity marketRashidova E.A. ()
World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, 2017, vol. 17, issue 1, 70-85 Abstract: The article investigates the free electricity market via agent-based modeling. The aim is to create a simple and quite plausible simulation model of the market, where suppliers and buyers, participating in the bilateral auction, learn to submit the most profitable bids. Whereas this kind of simulation models has been developed for the EU and USA markets by foreign researchers, for the Russian market they have not been made yet. The suggested theoretical agent-based model of interaction in the day-ahead market uses Erev and Roth learning algorithm and allows us to calculate and analyze equilibrium price, volume, social welfare and its distribution between buyers and sellers of electricity. The modeling demonstrates that it is possible to lower prices and redistribute social welfare in favor of buyers, provided that the learning agents can submit any bids. Keywords: agent-based modeling; learning agents; wholesale electricity market; day-ahead market. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:nos:wjflnh:2017_1_06e Access Statistics for this article More articles in World of economics and management / Vestnik NSU. Series: Social and Economics Sciences from Socionet |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.