Title :
Pursuit algorithm for scheduling PEV charging
Author :
Arif, Anmar I. ; Ahamed, T. P. Imthias ; Al-Ammar, Essam A.
Author_Institution :
EE Dept., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
The importance of electric vehicles (EVs) have been increasing in recent years. The electricity demands of EVs may have significant impacts on the electric power grid if the charging is not scheduled properly. This paper views PEV charging as a single stage decision making problem and proposes the use of pursuit algorithm for solving the decision making problem with the goal of minimizing the cost of PEV charging. The performance of the proposed algorithm is illustrated considering ten PEVs.
Keywords :
decision making; hybrid electric vehicles; scheduling; smart power grids; PEV charging scheduling; cost minimization; electric power grid; electricity demands; plug-in hybrid electric vehicles; pursuit algorithm; single stage decision making problem; smart grid; Decision making; Electricity; Learning automata; Power engineering; Pursuit algorithms; Schedules; Scheduling; Demand Response; Learning Automata; Plug-in Electric Vehicle; Pursuit Algorithm; Smart Grid;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635733
