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Optimum design of a multi-form energy in the presence of electric vehicle charging station and renewable resources considering uncertainty
Sustainable Energy Grids & Networks ( IF 4.8 ) Pub Date : 2020-07-18 , DOI: 10.1016/j.segan.2020.100375
Javad Ebrahimi , Mohammad Abedini , Mohammad Mahdi Rezaei , Mehdi Nasri

With the increasing influence of renewable resources and Electric Vehicles (EVs) on the distribution grids, one of the issues that may trouble the designers and beneficiaries of the systems is the contingent nature of the output power of these elements. In the present paper, it is attempted to determine the capacity and the candidate locations for installing the renewable resource, Fast Charging Stations (FCSs), and power switches in such a way that the entire grid can be clustered as multiple active interconnected Micro-Grids (MGs). In this regard, to investigate the uncertainty of the renewable resources, load, and the FCSs in the present work, the Monte Carlo method, the UETAM model, and the queueing theory were used to produce the uncertainty scenarios. The objective functions assumed for solving this problem included the technical, economic, and environmental functions. Finally, the efficiency of the proposed method was evaluated on a sample IEEE 33-bus system and its corresponding Sioux Falls traffic network. After running the program described for the grid design, the Energy Not Supply (ENS) cost in the grid was 580.3 $ and the total cost reached the lowest value compared to other algorithms. Overall, the obtained results, after being aggregated using the risk-neutral probabilities method, indicated a significant reduction in the system’s costs as well as the improvement of the technical status of the grid after applying the proposed method.



中文翻译:

考虑不确定性的电动汽车充电站和可再生资源存在下多种形式能源的优化设计

随着可再生资源和电动汽车(EV)对配电网的影响越来越大,可能困扰系统设计者和受益者的问题之一就是这些元件输出功率的偶然性。在本文中,尝试确定可再生资源,快速充电站(FCS)和电源开关的安装容量和候选位置,以使整个网格可以群集为多个活动互连微网格。 (MG)。在这方面,为了研究当前工作中可再生资源,负荷和FCS的不确定性,使用蒙特卡罗方法,UETAM模型和排队论来产生不确定性场景。为解决此问题而假定的目标功能包括技术,经济,和环境功能。最后,在一个示例IEEE 33总线系统及其对应的Sioux Falls交通网络上评估了该方法的效率。运行针对网格设计描述的程序后,网格中的能源不供应(ENS)成本为580.3 $,与其他算法相比,总成本达到最低值。总体而言,在使用风险中性概率方法进行汇总后,所获得的结果表明,在采用建议的方法后,系统的成本显着降低,并且网格的技术状况得到了改善。电网中的非能源供应(ENS)成本为580.3美元,与其他算法相比,总成本达到最低值。总体而言,在使用风险中性概率方法进行汇总后,所获得的结果表明,在采用建议的方法后,系统的成本显着降低,并且网格的技术状况得到了改善。电网中的非能源供应(ENS)成本为580.3美元,与其他算法相比,总成本达到最低值。总体而言,在使用风险中性概率方法进行汇总后,所获得的结果表明,在采用建议的方法后,系统的成本显着降低,并且网格的技术状况得到了改善。

更新日期:2020-07-23
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