Collins, John ORCID: 0000-0002-7881-4595 and Ketter, Wolfgang (2022). Power TAC: Software architecture for a competitive simulation of sustainable smart energy markets. SoftwareX, 20. AMSTERDAM: ELSEVIER. ISSN 2352-7110

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Abstract

Power TAC (www.powertac.org) is a discrete-time competitive simulation that models a retail elec-tricity market. Since 2012 it has been the foundation of an annual competition, challenging teams from around the world to build autonomous trading agents that communicate with the simulation over the internet. These retail brokersoffer energy services to customers through tariff contracts, and must then serve those customers by trading in a wholesale market. Hourly differences between wholesale market positions and net consumption by their subscribed customers must be cleared in a local balancing market using a combination of demand response and wholesale balancing energy. The simulation server is open source and highly modular, designed to be accessible to inexperienced student developers. It makes heavy use of annotations and aspect-oriented programming to achieve consistency and ensure that all important events are recorded, allowing simulations to be re-played and analyzed in depth.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Collins, JohnUNSPECIFIEDorcid.org/0000-0002-7881-4595UNSPECIFIED
Ketter, WolfgangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-677444
DOI: 10.1016/j.softx.2022.101217
Journal or Publication Title: SoftwareX
Volume: 20
Date: 2022
Publisher: ELSEVIER
Place of Publication: AMSTERDAM
ISSN: 2352-7110
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
DEMAND-SIDE MANAGEMENT; AGENTSMultiple languages
Computer Science, Software EngineeringMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/67744

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