Jeon Soi, Choi Dae-Hyun
School of Electrical and Electronics Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Korea.
Sensors (Basel). 2021 Apr 15;21(8):2798. doi: 10.3390/s21082798.
A high charging demand from many electric vehicles (EVs) at a fixed charging station (FCS) with a limited number of charging poles can increase the waiting time of EVs and yield an abnormal power grid condition. To resolve these challenges, this paper presents an optimization framework in which a mobile charging station (MCS) is dispatched to the overloaded FCS to reduce the number of waiting EVs while maintaining normal power grid operation. Compared to existing MCS scheduling methods that do not consider actual power distribution system operations, the proposed framework takes into account the (i) active/reactive power flow and consumption of EVs, (ii) reactive power capability of MCS, and (iii) voltage quality in power distribution systems. In coupled transportation and power distribution systems, the proposed algorithm conducts optimal operation scheduling of MCS for both road routing and charging and discharging, thereby leading to the reduction of waiting EVs within the allowable voltage range. The proposed MCS optimization algorithm was tested in IEEE 13-bus and 33-bus distribution systems coupled with 9-node and 15-node transportation systems, respectively. The test results demonstrate the effectiveness of the proposed algorithm in terms of number of waiting EVs, voltage magnitude deviation, and reactive power of the MCS.
在充电桩数量有限的固定充电站(FCS),众多电动汽车(EV)的高充电需求会增加电动汽车的等待时间,并导致电网状况异常。为应对这些挑战,本文提出了一种优化框架,即派遣移动充电站(MCS)前往过载的固定充电站,以减少等待的电动汽车数量,同时维持电网的正常运行。与现有未考虑实际配电网运行情况的移动充电站调度方法相比,所提出的框架考虑了:(i)电动汽车的有功/无功潮流及消耗;(ii)移动充电站的无功功率容量;(iii)配电网中的电压质量。在耦合的交通与配电系统中,所提出的算法对移动充电站进行道路行驶及充放电的最优运行调度,从而在允许的电压范围内减少等待的电动汽车数量。所提出的移动充电站优化算法分别在与9节点和15节点交通系统耦合的IEEE 13节点和33节点配电系统中进行了测试。测试结果证明了所提出算法在等待电动汽车数量、电压幅值偏差以及移动充电站无功功率方面的有效性。