Abstract
Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multi-agent based simulation platforms have proven to be a good option to study the several issues related to these systems, including the involved players that act in this domain. To take better advantage of these systems, their integration is mandatory. The main contribution of this paper is the development of the Electricity Markets Ontology, which integrates the essential concepts necessary to interpret all the available information related to electricity markets, while enabling an easier cooperation and adequate communication between related systems. Additionally, the concepts and rules defined by this ontology can be extended and complemented according to the needs of other simulation and real systems in this area. Each system’s particular ontology must import the proposed ontology, thus enabling the effective interoperability between independent systems.
The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); EUREKA - ITEA2 Project SEAS with project number 12004; AVIGAE Project (P2020-3401); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.
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
Similar content being viewed by others
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
References
Sioshansi, F.: Evolution of Global Electricity Markets – New paradigms, New Challenges, New Approaches. Academic Press, Waltham (2013)
Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management, pp. 233–274. Wiley-IEEE Press, New York (2002)
Koritarov, V.: Real-world market representation with agents: modeling the electricity market as a complex adaptive system with an agent-based approach. IEEE Power Energy Mag. 2, 39–46 (2004)
Li, H., Tesfatsion, L.: Development of open source software for power market research: the AMES test bed. J. Energy Markets 2(2), 111–128 (2009)
Migliavacca, G.: SREMS: a short-medium run electricity market simulator based on game theory and incorporating network constraints. IEEE Power Tech, Lausanne, Swiss (2007)
Santos, G., et al.: Multi-agent simulation of competitive electricity markets: autonomous systems cooperation for european market modelling. Energy Conv. Manage. 99, 387–399 (2015)
Praça, I., Ramos, C., Vale, Z., Cordeiro, M.: MASCEM: a multi-agent system that simulates competitive electricity markets. IEEE Intell. Syst. 18(6), 54–60 (2003). Special Issue on Agents and Markets
Pinto, T., Praça, I., Vale, Z., Morais, H., Sousa, T.: Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis. Integr. Comput. Aided Eng. 20(4), 335–346 (2013). IOS Press
Vale, Z., Pinto, T., Praça, I., Morais, H.: MASCEM - Electricity markets simulation with strategic players. IEEE Intell. Syst. 26(2), 54–60 (2011). Special Issue on AI in Power Systems and Energy Markets
Foundation for Intelligent Physical Agents (FIPA), FIPA Agent Management Specification (2004). http://fipa.org/specs/fipa00023/. Accessed January 2016
Foundation for Intelligent Physical Agents (FIPA), ACL Message Structure Specification (2002). http://www.fipa.org/specs/fipa00061/. Accessed on January 2016
Foundation for Intelligent Physical Agents (FIPA), FIPA Ontology Service Specification (2001). http://www.fipa.org/specs/fipa00086/ Accessed on January 2016
Catterson, V. et al.: An upper ontology for power engineering applications, April 2010. http://sites.ieee.org/pes-mas/. Accessed on January 2016
Alexopoulos, P., Kafentzis, K., Zoumas, C.: ELMO: an interoperability ontology for the electricity market. In: Proceedings of the International Conference on e-Business, Milan, Italy, July 7–10, 2009
Dam, K., Chapping, E.: Coupling agent-based models of natural gas and electricity markets. In: Proceedings of the First International Workshop on Agent Technologies for Energy Systems (ATES 2010), pp. 45–52, 11 May 2010
Dam, K., Keirstead, J.: Re-use of an ontology for modelling urban energy systems. In: Proceedings of the 3rd International Conference on Infrastructure Systems and Services: Next Generation Infrastructure Systems for Eco-Cities (INFRA), Shenzhen, China, 11–13 November 2010
MIBEL - Mercado Ibérico de Electricidade (2016). http://www.mibel.com/. Accessed on January 2016
EPEXSPOT - European Power Exchange (2016). https://www.epexspot.com/. Accessed on January 2016
Nord Pool Spot (2016). http://www.nordpoolspot.com/. Accessed on January 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Santos, G., Pinto, T., Vale, Z., Praça, I., Morais, H. (2016). Electricity Markets Ontology to Support MASCEM’s Simulations. In: Bajo, J., et al. Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. PAAMS 2016. Communications in Computer and Information Science, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-39387-2_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-39387-2_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-39386-5
Online ISBN: 978-3-319-39387-2
eBook Packages: Computer ScienceComputer Science (R0)