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Multi-objective stochastic economic dispatch of power system with battery swapping stations

机译:带有电池交换站的电力系统多目标随机经济调度

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For a successful rollout of electric vehicles (EVs), battery swapping stations (BSSs) become a must. Based on the characteristics of battery swapping station, the mathematical model of BSS under the battery to grid (B2G), grid to battery (G2B), battery to battery (B2B) mode is formulated. The economic dispatch model that aims to minimize the operating cost, carbon emissions and pollution settlement cost with their associated constraints is established, incorporating the BSSs into the power system which is highly penetrated intermittent wind power. While transforming the multiple objectives to a single objective, it is solved by means of mixed integer quadratic programming. A system with 10 thermal units, one large-scale wind farm and four BSSs are selected to verify the proposed method. Simulation results show that the operation cost is vastly reduced with BSSs.
机译:为了成功推出电动汽车(EV),必须使用电池更换站(BSS)。根据电池交换站的特点,建立了电池到网格(B2G),网格到电池(G2B),电池到电池(B2B)模式下的BSS数学模型。建立了旨在将运营成本,碳排放和污染消除成本及其相关约束最小化的经济调度模型,该模型将BSS纳入了高度渗透的间歇风电的电力系统中。在将多个目标转换为单个目标时,可以通过混合整数二次编程来解决。选择了一个由10个热力单元,一个大型风电场和四个BSS组成的系统,以验证所提出的方法。仿真结果表明,使用BSS可以大大降低运营成本。

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