Impact of Sampling in the Operation of Vehicle to Grid and Its Mitigation
Impact of Sampling in the Operation of Vehicle to Grid and Its Mitigation
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DOI：
10.1109/tii.2018.2886633
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发表时间：
2019-07
影响因子：
12.3
通讯作者：
Bikash Sah;Praveen Kumar;R. Rayudu;S. Bose;Krishna Pavan Inala
中科院分区：
文献类型：
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作者：
Bikash Sah;Praveen Kumar;R. Rayudu;S. Bose;Krishna Pavan Inala
世界各国政府都计划在不久的将来深入渗透电动汽车，用于交通运输部门。这将需要在充电基础设施的实体之间进行稳健的通信，即，电网、聚合器、控制器、充电站（CS）和电动汽车（EV）。为了分析车辆到电网和电网到车辆的基础设施，重要的是要建模的电气以及通信网络在一起。这将有助于确定通信网络对控制器和电网运行的影响。在MATLAB Simulink中对一个具有5个CS的配电系统和各实体之间的采样数据传输进行建模和仿真，以了解网络化通信系统对电网运行的潜在影响。模糊逻辑控制器（FLC）中使用的模型。FLC的均方根值方面的性能被发现，以提高当输入（节点电压和总能量可在CS）在更快的采样率同步。此外，它示出的FLC的性能可以得到改善，带来的变化，它（增加隶属函数的数量），而不仅仅是同步在一个更快的采样率。
Governments across the world have plans for a deep penetration of electric vehicles in the near future, for the transportation sector. This will require robust communications between the entities of the charging infrastructure, viz., the grid, aggregators, controllers, charging stations (CSs) and the electric vehicles (EVs). For analyzing the vehicle-to-grid and grid-to-vehicle infrastructure, it is important to model the electrical as well as the communication network together. This will help in determining the influences of the communication network in the operation of the controller and grid. In this paper, a distribution system with five CSs and sampled data transmission between the entities are modeled and simulated in MATLAB Simulink for understanding the potential impact of the networked communication system on the grid operation. A fuzzy-logic controller (FLC) is used in the model. The performance of the FLC in terms of root mean square values is found to improve when the inputs (node voltage and total energy available in CSs) are synchronized at faster sampling rates. Furthermore, it is shown that the performance of the FLC can be improved by bringing about changes in it (increasing the number of membership functions) and not merely synchronizing at a faster sampling rate.