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Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems

机译:插入式EVS的智能充电管理系统,以实现未来电力系统的最佳运行

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The presence of Electric Vehicles (EVs) in households in the near future of power distribution networks is inevitable as the EVs worldwide popularity is growing increasingly [1]. Distributed generations and electric vehicles will form the major parts of the future smart grids, which are expanding rapidly. In big cities emission caused by internal combustion vehicles and also noise pollution has led people and officials to use electric vehicles that are contamination-free. Furthermore, power system stability and security is becoming recently a challenging issue due to the high penetration level of renewable energies in the power generation mix. The reason of these challenges is due to the unpredictable and variable nature of renewable energies such as wind and solar [2]. In this paper, a real-time, smart and uncomplicated charging management (SCM) method is proposed for the plugged-in EVs charging procedure applying smart grid capabilities. Essential grid operation constraints, including overload occurrence, system loss reduction is considered. In addition to this, market energy prices were also tracked as a decision signal [3, 4]. The proposed control method is evaluated in a standard 31-bus IEEE distribution network in the MATLAB/SIMULINK environment. Real data of users driving behaviors utilized from published studies is applied into the model to obtain realistic results.
机译:由于世界范围度越来越多地增长,近期配电网络的家庭在近期供电网络中的电动汽车(EVS)的存在是不可避免的,这是越来越多的普及[1]。分布式代和电动汽车将形成未来智能电网的主要部分,这是迅速扩展的。在由内燃汽车造成的大城市发射,噪音污染导致人和官员使用无污染的电动汽车。此外,由于发电混合中的可再生能量的高渗透水平,电力系统稳定性和安全性正在成为一个具有挑战性的问题。这些挑战的原因是由于风和太阳能等可再生能量的不可预测和可变性质[2]。在本文中,提出了一种实时,智能和简单的充电管理(SCM)方法,用于应用智能电网功能的插入EVS充电过程。基本网格运行约束,包括过载发生,减少系统损失。除此之外,市场能源价格也被追踪为决策信号[3,4]。所提出的控制方法在Matlab / Simulink环境中的标准31总线IEEE分发网络中进行评估。从发布的研究中使用的用户驾驶行为的真实数据应用于模型中以获得现实的结果。

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