邵云峰,周徐,刘永强,康显红,马中静.计及配电网馈线约束的电动汽车优化调度研究[J].电测与仪表,2020,57(7):68-73. Shao Yunfeng,Zhou Xu,Liu Yongqiang,Kang Xianhong,Ma Zhongjing.Optimal scheduling of electric vehicles in distribution network with coupling capacity constraints of feeder lines[J].Electrical Measurement & Instrumentation,2020,57(7):68-73.
计及配电网馈线约束的电动汽车优化调度研究
Optimal scheduling of electric vehicles in distribution network with coupling capacity constraints of feeder lines
随着配电网的迅速发展,其以电动汽车为代表的柔性负荷大量并入配电网,给配电网的优化运行带来挑战,电动汽车的无序充电行为会导致电力损失、电压跌落和馈线过载等一系列问题。本文中,我们以电动汽车充电费用和电池衰减成本以及系统发电成本最低为目标,并考虑配电网的馈线容量耦合约束,提出了一种基于交替方向乘子法(Alternating Direction Method of Multipliers, ADMM)的电动汽车分散式优化调度策略。最后在仿真案例中验证了所提算法的最优性,并表明了该方法能够有效地解决配电网馈线过载问题。
英文摘要:
With the rapid development of the distribution network, the flexible load represented by electric vehicles is largely integrated into the distribution network, which brings challenges to the optimal operation of the distribution network. The disordered charging behaviors of electric vehicles lead to a series of problems such as power losses, voltage drop and feeder overloads. In this paper, considering the feeder capacity coupling constraint of distribution network, we establish a framework for electric vehicles charging coordination that facilitates the tradeoff between total generation cost and the local costs associated with battery degradation. And we propose a distributed optimal scheduling strategy based on alternating direction method of multipliers (ADMM) to solve the problem. Finally, the optimality of the proposed algorithm is verified in the simulation. The results show that the proposed method can effectively avoid possible overloads on the feeder lines in distribution networks.
