Abstract
This paper provides insights into performance of competing agents in Power Trading Agent Competition finals held in May 2014. Firstly, the paper gives the description of the Power TAC post-game data set and presents our analysis process. Furthermore, paper discusses the analysis output: indicators about brokers performance in energy retail market, energy wholesale market as well as the balancing process. Results of the analysis identified diverse approaches in the design of competing agents strategies.
This paper uses Power Trading Agent Competition (Power TAC) analysis framework originally described in the paper “An Analysis of Power TAC 2013 Trial” presented at the “Workshop on Trading Agent Design and Analysis (TADA 2013) @ AAAI 2013” for analysis of the Power TAC 2014 finals.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Power TAC Logfile Analysis is developed by Markus Peters, Rotterdam School of Management, Erasmus University. The software is available on http://bitbucket.org/markuspeters/pla.
- 2.
R is a free software environment for statistical computing and graphics. The software is available on http://www.r-project.org/.
- 3.
Based on assumption the game on average lasts for 60 days or 1440 h.
- 4.
In the day-ahead market, contracts are made between seller and buyer for the delivery of power in the next 24 h (i.e. the price is set and the trade is agreed).
- 5.
Wholesale trades are suitable if they match the energy load generated by the customers and the price follows the mean wholesale price.
References
Ipakchi, A., Albuyeh, F.: Grid of the future. IEEE Power Energy Mag. 7(2), 52–62 (2009)
Ramchurn, S.D., Vytelingum, P., Rogers, A., Jennings, N.R.: Putting the ’smarts’ into the smart grid. Commun. ACM 55, 86 (2012)
Kumagai, J.: Virtual power plants real power. IEEE Spectr. 49(3), 13–14 (2012)
Ketter, W., Collins, J., Reddy, P.P., Weerdt, M.D.: The 2013 Power Trading Agent Competition, May 2013
Collins, J., Ketter, W., Sadeh, N.: Pushing the limits of rational agents: the trading agent competition for supply chain management. AI Mag. 31(2), 63–80 (2010)
Shun-kun, Y., Jia-hai, Y.: Agent-based computational economics: methodology and its application in electricity market research. In: 7th International Power Engineering Conference (IPEC 2005), pp. 1–5 (2005)
Mohsenian-Rad, A.H., Wong, V.W.S., Jatskevich, J., Schober, R., Leon-Garcia, A.: Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1, 320–331 (2010)
Babic, J., Podobnik, V.: Energy informatics in smart grids: agent based modelling of electricity markets. In: Third Conference on Future Energy Business and Energy Informatics, Rotterdam, The Netherlands, pp. 1–15 (2014)
BMWi: E-Energy - IKT-basiertes Energiesystem der Zukunft. Stand (2008)
Matetic, S., Babic, J., Matijas, M., Petric, A., Podobnik, V.: The CrocodileAgent 2012: negotiating agreements in a smart grid tariff market. In: Proceedings of the 1st International Conference on Agreement Technologies (AT 2012) (2012)
Liefers, B., Hoogland, J., La Poutr, H.: A successful broker agent for power TAC. In: Proceedings of the 2014 Workshop on Agent-Mediated Electronic Commerce Trading Agent Design and Analysis (AMEC/TADA 2014) @ AAMAS 2014 (2014)
Babic, J., Matetic, S., Matijas, M., Buljevic, I., Pranjic, I., Mijic, M., Augustinovic, M.: The CrocodileAgent 2012: research for efficient agent-based electricity trading mechanisms. In: Special Session on Trading Agent Competition, KES-AMSTA 2012, Dubrovnik, Croatia (2012)
Buljevic, I., Pranjic, I., Mijic, M., Babic, J., Petric, A., Podobnik, V.: The CrocodileAgent 2012: reaching agreements in a simulation of a smart grid wholesale market. In: Proceedings of the 1st International Conference on Agreement Technologies (AT 2012), pp. 111–112 (2012)
Babic, J., Podobnik, V.: Adaptive bidding for electricity wholesale markets in a smart grid. In: Ceppi, S., David, E., Robu, V., Shehory O., Vetsikas, I. (eds.) Proceedings of the 2014 Workshop on Agent-Mediated Electronic Commerce Trading Agent Design and Analysis (AMEC/TADA 2014) @ AAMAS 2014, Paris, France, pp. 1–14 (2014)
Ntagka, E., Chrysopoulos, A., Mitkas, P.: Designing tariffs in a competitive energy market using particle swarm optimization techniques. In: Proceedings of the 2014 Workshop on Agent-Mediated Electronic Commerce Trading Agent Design and Analysis (AMEC/TADA 2014) @ AAMAS 2014, Paris, France (2014)
Urieli, D., Stone, P.: TacTex’13: a champion adaptive power trading agent. In: Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 2014) (2014)
Acknowledgements
The authors acknowledge the support of the research project “Managing Trust and Coordinating Interactions in Smart Networks of People, Machines and Organizations”, funded by the Croatian Science Foundation.
Furthermore, authors thank Power TAC game master for organizing Power TAC 2014 as well as competing teams for participation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Babic, J., Podobnik, V. (2014). An Analysis of Power Trading Agent Competition 2014. In: Ceppi, S., et al. Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets. AMEC AMEC TADA TADA 2014 2013 2014 2013. Lecture Notes in Business Information Processing, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-13218-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-13218-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13217-4
Online ISBN: 978-3-319-13218-1
eBook Packages: Computer ScienceComputer Science (R0)