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首页> 外文期刊>Journal of Modern Power Systems and Clean Energy >Estimation of cost savings from participation of electric vehicles in vehicle to grid (V2G) schemes
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Estimation of cost savings from participation of electric vehicles in vehicle to grid (V2G) schemes

机译:估计电动汽车参与车辆到电网(V2G)计划所节省的成本

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The storage capacity of the batteries in an electric vehicle (EV) could be utilised to store electrical energy and give it back to the grid when needed by participating in vehicle to grid (V2G) schemes. This participation could be a source of revenue for vehicle owners thus reducing the total charging cost of their EVs. A V2G simulator has been developed using MATLAB to find out the potential cost saving from participation of EVs in V2G schemes. A standard IEEE30 network has been modelled in the simulator which uses the MATPOWER engine to undertake power flow analysis. A novel control algorithm has been developed to take advantage of the difference between the selling and buying electricity prices by charging and discharging EVs at the appropriate time. Two scenarios are simulated to compare the total charging cost of EVs with or without the utilisation of V2G technology within the power system assuming a total of 5000 EVs. The results of the simulation show that the applied control strategy with V2G is able to reduce the charging cost of EVs by 13.6 % while satisfying the minimum requirement for state of charge (SoC) of the EV batteries to complete their next journey.
机译:电动汽车(EV)中电池的存储容量可用于存储电能,并在需要时通过参与车辆到电网(V2G)计划将其返回电网。这种参与可以成为车主的收入来源,从而降低其电动汽车的总充电成本。已经使用MATLAB开发了V2G模拟器,以找出由于电动汽车参与V2G计划而节省的潜在成本。在模拟器中已对标准的IEEE30网络进行了建模,该模拟器使用MATPOWER引擎进行功率流分析。已经开发了一种新颖的控制算法,以通过在适当的时间对电动汽车充电和放电来利用买卖电价之间的差异。模拟了两种情况,以比较电动汽车的总充电成本(假设有5000辆电动汽车,而在使用或不使用V2G技术的情况下)。仿真结果表明,采用V2G的应用控制策略能够将EV的充电成本降低13.6%,同时满足EV电池完成下一次旅程所需的最低充电状态(SoC)。

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