The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response, namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different actors of energy market. This paper describes a simulation framework to generate the simulated optimal behavior of the electrical users. Based on a given real-time pricing curves the simulator evaluates the power consumption hour by hour if the user behaves according to what the price curve and thus the loads aggregator suggests. A case study shows the advantages/disadvantages of the proposed pricing approach and the limits of the simulator.

Pecoraro, G., Favuzza, S., Ippolito, M.G., Galioto, G., Massaro, F., Riva Sanseverino, E., et al. (2015). An algorithm for simulating end-user behaviour in a real time pricing market. In Proceedings of 15th IEEE International Conference on Environment and Electrical Engineering - EEEIC 2015 (pp. 198-201). Institute of Electrical and Electronics Engineers Inc. [10.1109/EEEIC.2015.7165540].

An algorithm for simulating end-user behaviour in a real time pricing market

FAVUZZA, Salvatore;IPPOLITO, Mariano Giuseppe;Galioto, G;MASSARO, Fabio;RIVA SANSEVERINO, Eleonora;ZIZZO, Gaetano
2015

Abstract

The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response, namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different actors of energy market. This paper describes a simulation framework to generate the simulated optimal behavior of the electrical users. Based on a given real-time pricing curves the simulator evaluates the power consumption hour by hour if the user behaves according to what the price curve and thus the loads aggregator suggests. A case study shows the advantages/disadvantages of the proposed pricing approach and the limits of the simulator.
Settore ING-IND/33 - Sistemi Elettrici Per L'Energia
978-1-4799-7993-6
Pecoraro, G., Favuzza, S., Ippolito, M.G., Galioto, G., Massaro, F., Riva Sanseverino, E., et al. (2015). An algorithm for simulating end-user behaviour in a real time pricing market. In Proceedings of 15th IEEE International Conference on Environment and Electrical Engineering - EEEIC 2015 (pp. 198-201). Institute of Electrical and Electronics Engineers Inc. [10.1109/EEEIC.2015.7165540].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/153403
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