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Potential performance analysis and future trend prediction of electric vehicle with V2G/V2H/V2B capability
Author(s) -
Donghui Guo,
Chi Zhou
Publication year - 2016
Publication title -
aims energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.294
H-Index - 9
eISSN - 2333-8334
pISSN - 2333-8326
DOI - 10.3934/energy.2016.2.331
Subject(s) - smart grid , grid , electric vehicle , incentive , renewable energy , schedule , vehicle to grid , energy storage , electric power system , automotive engineering , battery (electricity) , computer science , environmental economics , electrical engineering , power (physics) , engineering , economics , microeconomics , physics , geometry , mathematics , quantum mechanics , operating system
Due to the intermittent nature, renewable energy sources (RES) has brought new challenges on load balancing and energy dispatching to the Smart Grid. Potentially served as distributed energy storage, Electric Vehicle’s (EV) battery can be used as a way to help mitigate the pressure of fluctuation brought by RES and reinforce the stability of power systems. This paper gives a comprehensive review of the current situation of EV technology and mainly emphasizing three EV discharging operations which are Vehicle to Grid (V2G), Vehicle to Home (V2H), and Vehicle to Building (V2B), respectively. When needed, EV’s battery can discharge and send its surplus energy back to power grid, residential homes, or buildings. Based on our data analysis, we argue that V2G with the largest transmission power losses is potentially less efficient compared with the other two modes. We show that the residential users have the incentive to schedule the charging, V2G, and V2H according to the real-time price (RTP) and the market sell-back price. In addition, we discuss some challenges and potential risks resulting from EVs’ fast growth. Finally we propose some suggestions on future power systems and also argue that some incentives or rewards need to be provided to motivate EV owners to behave in the best interests of the overall power systems

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