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Real-time Electric Vehicle Load Forecast to Meet Timely Energy Dispatch

机译:实时电动车载预测,以及时达到能源调度

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Electric vehicles are more eco-friendly and energy efficient than the conventional internal combustion engine vehicles. This technology adds new challenge to the existing energy distribution network. Specifically, electric vehicles are allowed to start charging their batteries the moment they are parked into a charging lot which creates a unpredictable load on the energy distribution network. Ideally, the energy supply system must always be in a state where the amount of energy consumed is equal to the amount of energy produced. This priori is also for the reduction of energy wastage. Hence, load forecasting serves as an estimated preemption for the supply system. In this paper, time series techniques for electric vehicles’ load forecasting are proposed. Experiments are given using Singapore’s energy dispatch system. A framework to provide the relevant electric vehicles’ load forecast to fulfill the timing criteria is also proposed.
机译:电动车辆比传统的内燃机车辆更环保和节能。该技术对现有的能量分配网络增加了新的挑战。具体而言,允许电动车辆在停放到充电批次的那一刻开始对电池充电,这在能量分配网络上产生不可预测的负载。理想情况下,能量供应系统必须始终处于所消耗的能量量等于产生的能量的状态。这一先验也用于减少能量浪费。因此,负载预测作为供应系统的估计抢占。本文提出了电动汽车负荷预测的时间序列技术。使用新加坡的能量调度系统给出了实验。还提出了一种提供相关电动汽车负荷预测来实现时间标准的框架。

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