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

机译:最佳放置和确定电动车辆停车能力改善VSM和拥塞

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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,电动车辆停车(EVP)可用作分布式发电(DG)作为一个重要机会。 EVP与其他DGS不同,可用作负载或供应商,因此它有助于平整网格载荷曲线。基于此事的基础,EVP的最佳位置是一个重要的问题。在本文中,定义了考虑多目标优化的最佳放置问题。解决这个问题,原因改进一些物体即拥塞,电压安全裕度(VSM),成本和电压稳定性。为了解决建模优化问题,已经开发了一种精英遗传算法优化。该算法包括连续和离散的部分,因此在附加放置时,可以计算所选择的停车的最佳容量。已经分析和评估了这些结果,并在不同的条件下进行了评估,改进的IEEE 14总线和30母线网络被用作案例研究。

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