Strategic charging method for plugged in hybrid electric vehicles in smart grids; a game theoretic approach

被引:98
作者
Sheikhi, A. [1 ]
Bahrami, Sh. [1 ]
Ranjbar, A. M. [1 ]
Oraee, H. [1 ]
机构
[1] Shanf Univ Technol, Dept Elect Engn, Tehran, Iran
关键词
Automatic chargers; Load management; Peak load shaving; Plug in hybrid electric vehicles; Charging scheduling; Smart meter; OPTIMIZATION; MANAGEMENT; EMISSIONS; SYSTEM;
D O I
10.1016/j.ijepes.2013.04.025
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Implementation of various incentive-based and time-based load management strategies has great potential to decrease peak load growth and customer electricity bill cost. In recent years, developments in Plug in Hybrid Electric Vehicles (PHEVs) have provided various environmental and economic advantages. However, high penetration of electric vehicles in to the grid may cause high peak loads at different times of the days. Using advanced metering and automatic chargers makes it possible to optimize the charging cost, and release generation capacities to provide sustainable electricity supply. Using an appropriate encouraging program is a simple way for vehicle owners to manage their energy consumption and shift the time of charging to proper time of the day; and therefore, to reduce their electricity bill. With these objectives, this paper proposes a new practical PHEVs' charging scheduling programs aiming at optimizing customers charging cost by considering the generation capacity limitation and dynamic electricity price in different time slots of a day. Using a stochastic model for start time of charging and the duration of it in the proposed optimization algorithm, make this method a practical tool for modeling the vehicle owners' charging behavior with the purpose of peak load shaving. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:499 / 506
页数:8
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