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METHOD AND SYSTEM FOR PROVIDING TEMPORAL-SPATIAL FORECAST OF LOAD DEMAND

机译:提供负荷需求的时空预测的方法和系统

摘要

To provide a method and a system for forecasting temporal-spatial distribution of load demand on an electrical grid, resulting from multiple electric vehicles (EV).SOLUTION: A system for forecasting temporal-spatial distribution of load demand includes construction of an EV load demand (EVLD) model for a region of interest (ROI) provided with a service by an electrical grid, where the EVLD model is integrating an EV model and a conveyance simulator simulating the EV traffic state for the ROI. Furthermore, the method includes to calculate the load demand in time and space, from the standpoint of the state of charge (SOC) of a battery, for each of the multiple EVs in the ROI, on the basis of the EVLD model. In addition, the method includes to construct a temporal-spatial impact of load demand by multiple EVs on the electrical grid for the ROI, by compacting the calculated load demands of respective EVs, in the time domain and the spatial domain from the standpoint of the SOC.SELECTED DRAWING: Figure 3
机译:提供一种用于预测由多个电动车辆(EV)产生的电网上的负荷需求的时空分布的方法和系统。解决方案:预测负荷需求的时空分布的系统包括构建EV负荷需求电网提供服务的感兴趣区域(ROI)的(EVLD)模型,其中EVLD模型集成了EV模型和模拟ROI的EV交通状态的运输模拟器。此外,该方法包括基于EVLD模型,针对ROI中的多个EV中的每一个,从电池的充电状态(SOC)的角度来计算时间和空间上的负载需求。另外,该方法包括:通过压缩各个EV的计算出的负载需求,从时空和空间域的角度,在时域和空间域中构造多个EV对ROI的负载需求在时间上的时空影响。 SOC.SELECTED DRAWING:图3

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