考虑电动汽车负荷预测两种负荷建模的径向配料器可靠性评估

V. Rekha, Manish Kumar, Dr. E. Vidya Sagar
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摘要

使用电动汽车(EV)代替内燃机可以减少污染,实现零排放。电动汽车需要大量来自电网的电能,因此有必要对包括电动汽车充电站(EVCS)负载在内的径向配电系统的性能进行评估。利用霍尔特模型对未来电力系统负荷进行了预测,并将预测结果统一应用到配电网中。这增加了电流的大小,这是使用负载流分析的向后和向前扫描方法计算的。增加的电流幅度缓和了组件的工作温度,并导致馈线部分的平均故障率增加。假设平均故障率的百分比变化与电流的百分比变化成正比,进而影响到SAIDI和ens等可靠性指标。可靠性分析需要对系统上的负荷进行适当的建模,将其分为轻负荷和重负荷,认为这是两种负荷模型。将现有无电动汽车的配电系统负荷作为轻负荷,将未来包括电动汽车在充电期内(5hrs)对配电系统的负荷作为重负荷。本文计算了无电动汽车负荷、有电动汽车负荷和电动汽车负荷期间不同故障百分比情况下径向馈线的可靠性指标,并对结果进行了比较。并在IEEE33标准配电系统上进行了验证。
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Reliability Evaluation of Radial Distribution Feeder Considering Two Load Modelling of Forecasted Electric Vehicle Load
The use of an electric vehicle (EV) in place of an internal combustion engine reduces pollution and produces zero emissions. EVs need considerable electrical energy from the grid, and therefore it is necessary to evaluate the performance of the radial distribution system, including the Electrical Vehicle Charging Station (EVCS) load. The future EVCS load is forecasted using Holt's model, and then it is applied uniformly to the distribution system. This increases the magnitudes of currents, which are calculated using the backward and forward sweep method of load flow analysis. The increased magnitude of current moderates the operating temperature of the components and results in an increase in the average failure rate of feeder line sections. The percentage change in the average failure rate is assumed to be directly proportional to the percentage change in current, which in turn affects reliability indices such as SAIDI and ENS. The reliability analysis needs proper modelling of loads on the system and is taken as light and heavy load, considered this as two load model. The existing load without EVs of the distribution system is taken as a light load and the future load including the EV load during the charging period (5hrs) on the distribution system is taken as a heavy load. In this paper, the reliability indices of a radial distribution feeder are calculated for different cases like without EV load, with EV load and for different percentages of faults during EV load duration and the results are compared. This work is validated on IEEE33 standard distribution system.
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