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Multi-objective approach for plug-in vehicle aggregators optimal operation in a smart grid

机译:插电式汽车集成商在智能电网中的最佳运行的多目标方法

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This paper deals with Smart Grids including renewable generation plants and plug-in vehicle fleets managed by aggregators and connected to the grid through power electronic devices. A new multi-objective optimization model is proposed in order to obtain the optimal operation of the Smart Grids. The proposed model originates from the need of accomplishing numerous and sometime conflicting objectives in the Smart Grid operation and allows to perform several services, aimed at contemporaneously meeting needs internal to the SG and external to it. Among the possible optimization methods to solve the multi-objective model, two different approaches were used in this paper based on objective sum criterion and weighted sum criterion, respectively. The objective sum criterion does not require any articulation of preferences and seems particularly suitable when low CPU time is required. The weighted sum criterion could lead to better quality of decisions since it evaluates the relative importance of each objective. Numerical simulations applying the analyzed methods for the optimal operation of a low voltage test Smart Grid were performed and discussed.
机译:本文涉及智能电网,包括可再生能源发电厂和由聚合器管理并通过电力电子设备连接到电网的插电式车队。为了获得智能电网的最优运行,提出了一种新的多目标优化模型。提出的模型源于在智能电网运营中需要实现众多且有时相互冲突的目标的需求,并允许执行多种服务,旨在同时满足SG内部和外部的需求。在解决多目标模型的可能优化方法中,本文分别基于目标和准则和加权和准则使用了两种不同的方法。客观总和标准不需要任何偏好的表达,并且在需要较少的CPU时间时显得特别合适。加权和准则可以评估每个目标的相对重要性,因此可以提高决策质量。进行了数值模拟,并将所分析的方法应用于低压测试智能电网的最佳运行。

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