Title :
Semantically-enriched electric car recharge optimization toolkit for load control
Author :
Simonov, Mikhail ; Attanasio, Antonio ; Luzio, Davide
Author_Institution :
Ist. Superiore Mario Boella, Turin, Italy
Abstract :
Electric CAR Recharge Optimization Toolkit is an integrated system for modeling and optimization of Electric Vehicle recharge processes. It uses semantic technology to conceptualize, model, and optimize battery recharge processes occurring in smart grid. The new tool attempts the time shifting postponing the demand exceeding the available energy flows. It is useful for operational planning of saturated electricity grid when the electricity demand exceeds the available resources during some time slots.
Keywords :
battery powered vehicles; electric vehicles; load flow control; optimisation; power system planning; smart power grids; electric car recharge optimization toolkit; electric vehicle recharge process modeling; electric vehicle recharge process optimization; electricity demand; load control; saturated electricity grid operational planning; semantic technology; smart grid; time shift; Batteries; Electric vehicles; Electricity; Optimization; Power grids; Production; Semantics; Electric Vehicle; Fleet Management; Optimization; Smart Grid;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699890
