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Information Journal Paper

Title

SMART CHARGE AND DISCHARGE SCHEDULING OF ELECTRIC VEHICLE (EV) TO MAXIMIZE THE PROFIT OF EV OWNER

Pages

  67-74

Keywords

GENETIC ALGORITHM (GA)Q2
ELECTRIC VEHICLE (EV)Q1

Abstract

 Electric Vehicle (EVs) usage causes to decrease the consumption of fossil fuel resources and pollution. If such EVs include vehicle to grid (V2G) capability, then a smart scheduling can be used in order to obtain more profit. The goal of this paper is to present a charge and disCHARGE SCHEDULING to maximize the profit of EV owner, using genetic algorithm (GA). The suggested method can be applicable without deteriorating the normal usage of EV. Besides that, in this method the hourly traveled distance and state of charge (SOC) of EV are considered in each hour of day and night. To evaluate the accuracy of this algorithm, STOCHASTIC DATA are generated and the algorithm is repeated 1000 times. Finally, the expected profit of EV owner is calculated for 3 modes named without V2G ability, with V2G and 72 ampere charger and with V2G and SUPERCHARGER. The results show that the 3rd mode is more profitable than the other ones.

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  • Cite

    APA: Copy

    ALAVI ESHKAFTAKI, AMIN, GHIASIAN, ALI, & RABIEE, ABDORREZA. (2017). SMART CHARGE AND DISCHARGE SCHEDULING OF ELECTRIC VEHICLE (EV) TO MAXIMIZE THE PROFIT OF EV OWNER. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 8(3 ), 67-74. SID. https://sid.ir/paper/203045/en

    Vancouver: Copy

    ALAVI ESHKAFTAKI AMIN, GHIASIAN ALI, RABIEE ABDORREZA. SMART CHARGE AND DISCHARGE SCHEDULING OF ELECTRIC VEHICLE (EV) TO MAXIMIZE THE PROFIT OF EV OWNER. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2017;8(3 ):67-74. Available from: https://sid.ir/paper/203045/en

    IEEE: Copy

    AMIN ALAVI ESHKAFTAKI, ALI GHIASIAN, and ABDORREZA RABIEE, “SMART CHARGE AND DISCHARGE SCHEDULING OF ELECTRIC VEHICLE (EV) TO MAXIMIZE THE PROFIT OF EV OWNER,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 8, no. 3 , pp. 67–74, 2017, [Online]. Available: https://sid.ir/paper/203045/en

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