Multimicrogrid Load Balancing Through EV Charging Networks
Multimicrogrid Load Balancing Through EV Charging Networks
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DOI：
10.1109/jiot.2021.3108698
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发表时间：
2021-08
影响因子：
10.6
通讯作者：
Xi Chen;Haihui Wang;Fan Wu;Yujie Wu;Marta C. González;Junshan Zhang
中科院分区：
文献类型：
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作者：
Xi Chen;Haihui Wang;Fan Wu;Yujie Wu;Marta C. González;Junshan Zhang
不同地区的能源需求和供应不同，可能出现不平衡负荷，危及系统的安全约束，并导致电力系统的区位边际价格（LMP）存在显著差异。随着微电网中本地可再生能源（RE）并网比例的增加以及电动汽车（EV）充电负荷的增加，这种不平衡将进一步放大。在本文中，我们首先将电动汽车充电网络建模为一个与交通网络和智能电网相结合的网络物理系统（CPS）。然后，提出了一种电动汽车充电站推荐算法。合理部署充电调度算法，实现交通网络与智能电网的协同。电动汽车充电活动将不再是电网的负担，而是一种负载平衡工具，可以在不平衡的配电网之间传输能量。通过仿真验证了所提出的系统模型。结果表明，该算法能够优化电动汽车充电行为，降低充电成本，有效平衡电网区域负荷分布。
Energy demand and supply vary from area to area, where an unbalanced load may occur and endanger the system security constraints and cause significant differences in the locational marginal price (LMP) in the power system. With the increasing proportion of local renewable energy (RE) sources in microgrids that are connected to the power grid and the growing number of electric vehicle (EV) charging loads, the imbalance will be further magnified. In this article, we first model the EV charging network as a cyber–physical system (CPS) that is coupled with both the transportation networks and the smart grids. Then, we propose an EV charging station recommendation algorithm. With a proper charging scheduling algorithm deployed, the synergy between the transportation network and the smart grid can be created. The EV charging activity will no longer be a burden for power grids, but a load-balancing tool that can transfer energy between the unbalanced distribution grids. The proposed system model is validated via simulations. The results show that the proposed algorithms can optimize the EV charging behaviors, reduce charging costs, and effectively balance the regional load profiles of the grids.