Title :
Operational management algorithms for an EV aggregator
Author :
Bessa, R.J. ; Lima, N. ; Matos, Manuel A.
Author_Institution :
FEUP - Fac. of Eng., Univ. of Porto, Porto, Portugal
Abstract :
The participation of an EV aggregator in the electricity market for purchasing electrical energy requires an algorithm for managing the EV charging during the operational day. In this paper the coordination of EV for minimizing the deviation between bid and consumed electrical energy is studied and compared with an uncoordinated strategy. Two algorithms are proposed: a heuristic algorithm that dispatches the EV for each time interval separately, and another one, formulated as an optimization problem for dispatching the EV considering all the time intervals. Furthermore, the aggregator architecture is compared with an autonomous architecture where each EV operates and participates in the market individually. The results, for a realistic case-study, show that the aggregator with an optimized coordination strategy achieves the lowest deviation cost and magnitude.
Keywords :
electric vehicles; optimisation; power markets; EV aggregator; EV charging; electric vehicles; electrical energy purchasing; electricity market; heuristic algorithm; operational management algorithm; optimization problem; Electric vehicles; aggregator; electricity market; forecast; operational management; optimization;
Conference_Titel :
Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012), 8th Mediterranean Conference on
Conference_Location :
Cagliari
Electronic_ISBN :
978-1-84919-715-1
DOI :
10.1049/cp.2012.2037