Abstract
The actual flexibility of the electricity sector, with a distributed nature and new players, such as the smart grid operator and several types of aggregators, brings new business models and introduces new challenges from the power systems technical operation point of view. In this context, the Network Operator Agent of the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM) plays a crucial role, not only in the scope of the technical validation of the economic transactions established by the market, but also has an agent that can be supporting the grid operation under the scope of a smart grid. A set of new features has been added to the Network Operator making it a “new agent”, bringing a more effective decision support, from the grid technical operation point of view, and achieving its usefulness beyond MASCEM. In this paper the new features are described. A case study is also included to better illustrate the approach and to highlight its usefulness under the scope of a smart grid scenario.
The present work was done and funded in the scope of 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.
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References
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)
Meeus, L., Purchalaa, K., Belmans, R.: Development of the internal electricity market in Europe. Electr. J. 18(6), 25–35 (2005)
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)
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 2, 39–46 (2004)
Praça, I., Ramos, C., Vale, Z., Cordeiro, M.: MASCEM: a multi-agent system that simulates competitive electricity markets. IEEE Intel. Syst. 18(6), 54–60 (2003). doi:10.1109/MIS.2003.1249170. Special Issue on Agents and Markets
Power World. http://www.powerworld.com/. Accessed on Jan 2016
CYME Power Engineering Software. http://www.cyme.com/software/. Accessed on Jan 2016
Zimmerman, R.D., et al.: MATPOWER - A MATLAB Power System Simulation Package. http://www.pserc.cornell.edu/matpower/. Accessed on Jan 2016
European Commission: The 2020 climate and energy package. http://ec.europa.eu/clima/policies/strategies/2020/index_en.htm. Accessed on Jan 2016
Electricity Advisory Committee: Smart Grid: Enabler of the New Energy Economy, December 2008
Buchholz, B.M., Styczynski, Z.: Smart Grids - Fundamentals and Technologies in Electricity Networks. Springer, Heidelberg (2014)
Pinto, T., Silva, H., Vale, Z., Santos, G., Praça, I.: Pan-European electricity market simulation considering the European power network capacities. In: Fourth International Workshop on Artificial Intelligence Techniques for Power Systems and Energy Markets (IATEM 2015), 26th International Conference on Database and Expert Systems Applications (DEXA 2015), Valencia, Spain, pp. 1–4, September 2015
Pinto, T., Morais, H., Oliveira, P., Vale, Z., Praça, I., Ramos, C.: A new approach for multi-agent coalition formation and management in the scope of eletricity markets. Energy 36(8), 5004–5015 (2011). doi:10.1016/j.energy.2011.05.045
Santos, G., Pinto, T., Morais, H., Sousa, T.M., Pereira, I.F., Fernandes, R., Praça, I., Vale, Z.: Multi-agent simulation of competitive electricity markets: autonomous systems cooperation for European market modeling. Energy Conver. Manag. 99, 387–399 (2015). doi:10.1016/j.enconman.2015.04.042
JADE - Java Agent DEvelopment Framework. http://jade.tilab.com/. Accessed on Jan 2016
Foundation for Intelligent Physical Agents (FIPA), Agent Management Specification (2002). http://www.fipa.org/specs/fipa00023/SC00023J.html. Accessed on Jan 2016
Oliveira, P., Pinto, T., Morais, H., Vale, Z.: MASGriP – a multi-agent smart grid simulation platform. In: IEEE Power and Energy Society General Meeting 2012, 22–26 July 2012, San Diego CA, USA (2012). doi:10.1109/PESGM.2012.6345649
Power Flow Cases. http://publish.illinois.edu/smartergrid/. Accessed on Jan 2016
14 bus IEEE test system network. https://www.ee.washington.edu/research/pstca/. Accessed on Jan 2016
Canizes, B., et al.: Resource scheduling in residential microgrids considering energy selling to external players. In: Power Systems Conference (PSC 2015), 10–13 March 2015, South Carolina, USA (2012)
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Freitas, A., Praça, I., Pinto, T., Sousa, T., Vale, Z. (2016). Network Operator Agent: Endowing MASCEM Simulator with Technical Validation. 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_32
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DOI: https://doi.org/10.1007/978-3-319-39387-2_32
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