4.6 Article

Optimal Coordination of Electric Vehicles and Distributed Generators for Voltage Unbalance and Neutral Current Compensation

期刊

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
卷 57, 期 1, 页码 1069-1080

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2020.3037275

关键词

Voltage control; Current measurement; Voltage measurement; Power quality; Reactive power; Electric vehicle charging; Switches; Electric vehicle (EV) converter; EV coordinating; heirarchical control; neutral current; voltage unbalance

资金

  1. Australian Government Research Training Program

向作者/读者索取更多资源

The penetration of electric vehicles (EVs) has increased significantly in developed countries to combat climate change, but this can cause serious power quality issues. A new control strategy has been proposed to reduce the number of coordinated EVs and improve power system operation.
To maximize renewable energy usage to combat climate change, the penetration of electric vehicles (EVs) has increased significantly in developed countries. This can cause serious power quality issues, such as increased voltage imbalance and neutral currents, which severely impact the operation of power systems. Although the power quality issue is not a new problem, it requires an improved strategy for the growing penetration of photovoltaic solar energy and EVs in low-voltage distribution grids and their uncoordinated operation. This article presents a new control strategy to reduce the number of coordinated EVs to mitigate voltage unbalance and compensate for the neutral current. The proposed control strategy consists of two controllers arranged in a hierarchical structure with the central controller at the top layer and the local controller at the bottom layer. It is evident that the proposed control strategy reduces the number of EVs that need to be coordinated, and further, EV coordination is not required if the grid imbalance is less. This new hierarchical control strategy can improve power quality and reduce data processing overhead and computational complexity.

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