2017/06/30 by José Rivera, Rivera, Jose, Hans‐Arno Jacobsen +3
Engineering · #Electric Vehicles and Infrastructure #Advanced Battery Technologies Research #Smart Grid Energy Management
paper · pdf · doi:10.48550/arxiv.1706.10074
The fast charging of Electric Vehicles (EVs) in distribution networks\nrequires real-time EV charging control to avoid the overloading of grid\ncomponents. Recent studies have proposed congestion control protocols, which\nresult from distributed optimization solutions of the Network Utility\nMaximization (NUM) problem. While the NUM formulation allows the definition of\ndistributed computations with closed form solutions, its simple model does not\naccount for many of the feeders operational constraints. This puts the\nresulting control algorithms effectiveness into question. In this paper, we\ninvestigate the impact of implementing such algorithms for congestion control\nin low voltage feeders. We review the latest NUM based algorithms for real-time\nEV charging control, and evaluate their behavior and impact on the\ncomprehensive IEEE European Low Voltage Test Feeder. Our results show that the\nEV NUM problem can effectively capture the relevant operational constraints, as\nlong as ampacity violations are the main bottleneck. Moreover, the results\ndemonstrate an advantage of the primal NUM solution over the more conventional\ndual NUM solution in preventing a system overload.\n