Modeling of dynamic market of energy with local energy clusters

• Autorzy: Stańczak J. , Radziszewska W.
• Języki publikacji: EN

Abstrakty

EN

Clusters of energy are a new mechanism, meant to support development of modern power grids in Poland. In this article, we experimentally check the influence of a hypothetical presence of clusters on energy markets. We present a two level real time power market, where the power first is balanced within a cluster and then an inter-cluster trading is performed, in which the country power grid is a participant in the market. We show that it can be beneficial for all parties to maintain such a schema and that it is also a possible direction for further research.

Słowa kluczowe

EN

energy market; energy clusters; AA strategy

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2018
• Tom: Vol. 47, no. 2
• Strony: 157--171
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Stańczak J.

• Systems Research Institute, Polish Academy of Sciences Newelska 6, 01-447 Warszawa, Poland

autor

Radziszewska W.

• Systems Research Institute, Polish Academy of Sciences Newelska 6, 01-447 Warszawa, Poland

Bibliografia

• [1] Hertz, J., Krogh, A., and Palmer,R. G. (1991) Introduction to the Theory of Neural Computation. Addison-Wesley Publishing Company, Massachusetts, USA.
• [2] Luckock, H. (2003). A steady-state model of the continuous double auction. Quantitive Finance, Institute of Physics Publishing, 3:385 – 404.
• [3] Mohammadi, M., Hosseinian, S.H., Gharehpetian, G.B. (2012) Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO. Solar Energy, 86:1, 112–125.
• [4] Onaiwu, E. (2009) How does bilateral trading differ from electricity pooling? University of Dundee, report. Radziszewska, W. and Nahorski, Z. (2013) Generation of inputs to renewable energy sources using matched-block bootstrap approach with fitness proportionate selection. In: B Pape et al., eds., 27th International Conference on Environmental Informatics for Environmental Protection, Sustainable Development and Risk Management, EnviroInfo 2013, Hamburg, Germany, September 2-4, 2013. Proceedings. Shaker Verlag, Aachen, 727–735.
• [5] Radziszewska, W. and Nahorski, Z. (2014) Modeling of power consumption in a small microgrids. In: J.M. G´omez et al., eds., 28th International Conference on Informatics for Environmental Protection: ICT for Energy Effieciency, EnviroInfo 2014. Bis-Verlag, Oldenburg, Germany, September 10-12, 2014, 381–388.
• [6] Stańczak, J., Radziszewska, W., and Nahorski, Z. (2015) Dynamic pricing and balancing mechanism for a microgrid electricity market. In: Filev et al., eds., Intelligent Systems’2014, Springer International Publishing, 793–806.
• [7] Tesauro, G. and Das, R. (2001) High-Performance Bidding Agents for the Continuous Double Auction. EC ’01 Proceedings of the 3rd ACM conference on Electronic Commerce, ACM, New York, USA, 206–209.
• [8] Vytelingum, P., Cliff, D., and Jennings, N. (2008) Strategic bidding In continuous double auctions. Artificial Intelligence, 172(14):1700–1729.
• [9] Vytelingum, P., Ramchurn, S. D., Voice, T. D., Rogers, A., and Jennings, N. R. (2010) Trading agents for the smart electricity grid. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1, AAMAS ’10.
• [10] Richland, SC. International Foundation for Autonomous Agents and Multiagent Systems, 897–904.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).