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Optimal placement and determine parking capacity of electric vehicles to improve VSM and congestion

机译:优化布局并确定电动汽车的停车容量,以改善VSM和交通拥堵

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摘要

Nowadays, Electric vehicle parking (EVP) can be used as a distributed generation (DG) as an important opportunity. EVP is different with other DGs and can be used as a load or supplier, so it helps to flatten the grid load curve. Based on this matter optimal placement of EVP is an important matter. In this paper an optimal placement problem with considering multi-objective optimization is defined. Solving this problem, causes to improve some objects i.e. congestion, Voltage security margin (VSM), cost and voltage stability. To solve modeled optimization problem, an Elitist genetic algorithm optimization has been developed. This algorithm consists of continuous and discrete sections, so in addition placement, the optimal capacity of the selected parking can be calculated. These results have been analyzed and evaluated in different conditions and modified IEEE 14-bus and 30-bus networks are used as cases study.
机译:如今,电动汽车停车(EVP)可以作为重要的机会用作分布式发电(DG)。 EVP与其他DG不同,可以用作负载或供应商,因此有助于使电网负载曲线平坦。基于此问题,EVP的最佳放置很重要。本文定义了考虑多目标优化的最优布置问题。解决该问题导致改善一些目标,即拥塞,电压安全裕度(VSM),成本和电压稳定性。为了解决模型化的优化问题,已经开发了Elitist遗传算法优化。该算法由连续和不连续的部分组成,因此,除了放置,还可以计算所选停车位的最佳容量。在不同条件下对这些结果进行了分析和评估,并以改进的IEEE 14总线和30总线网络作为案例研究。

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