Title :
Models for the EV aggregation agent business
Author :
Bessa, R.J. ; Soares, F.J. ; Pecas Lopes, J.A. ; Matos, Manuel A.
Author_Institution :
Inst. de Eng. de Sist. e Comput. do Porto (INESC Porto), Univ. of Porto, Porto, Portugal
Abstract :
It is foreseeable that electricity retailers for electrical mobility will be market agents. These retailers are electric vehicle (EV) aggregation agents, which operate as a commercial middleman between electricity market and EV owners. Furthermore, with the foreseen evolution of the smart-grid concept, these agents will be able to control the EV charging rates and offer several ancillary services. This paper formulates an optimization problem for the EV aggregation agent participation in the day-ahead and secondary reserve market sessions. Forecasting issues are also discussed. The methodology was tested for two years (2009 and 2010) of the Iberian market, considering perfect and naïve forecast for all variables of the problem.
Keywords :
electric vehicles; load forecasting; optimisation; power markets; smart power grids; EV aggregation agent business; Iberian market; day-ahead market session; electric vehicle aggregation agent business; electrical mobility; electricity market; electricity retailers; load forecasting; market agents; optimization problem; secondary reserve market session; smart-grid concept; Decision support systems; Manganese; Silicon; Electric vehicles; aggregator; electricity market; forecasting; optimization; secondary reserve;
Conference_Titel :
PowerTech, 2011 IEEE Trondheim
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-8419-5
Electronic_ISBN :
978-1-4244-8417-1
DOI :
10.1109/PTC.2011.6019221
