An optimization model of EVs charging and discharging for power system demand leveling

Guanhao Du, W. Cao, Jin Yang, Bowen Zhou
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引用次数: 4

Abstract

This paper provides an advanced methodology for optimizing the UK load with various uncertainties which is related with individual driving behaviour. Without the optimized regulation for traditional power system demand, integrating increasing number of electric vehicles (EVs) would have an adverse impact on stability of power systems. Hence, when there are large-scale EVs being plugged into power grid, it is significant to employ this advanced optimization model. In addition, the flexible bidirectional charging and discharging would improve flexibility and stability, compared with the optimized methodology only for EV charging. Three scenarios with different charging and discharging power levels and various penetration levels of EV are discussed in this paper. Simulation results demonstrate that bidirectional EV charging has effective potential to improve the load demand profile, with the increase of EV penetration proportion, and power levels of charging and discharging.
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基于电力系统需求均衡的电动汽车充放电优化模型
本文提供了一种先进的方法,以优化与个人驾驶行为有关的各种不确定性的英国负载。如果没有对传统电力系统需求进行优化调节,整合越来越多的电动汽车将对电力系统的稳定性产生不利影响。因此,当大规模电动汽车并网时,采用这种先进的优化模型具有重要意义。此外,与仅针对电动汽车充电的优化方法相比,柔性双向充放电可以提高灵活性和稳定性。本文讨论了不同充放电功率水平和不同电动汽车渗透水平的三种场景。仿真结果表明,随着电动汽车渗透比例和充放电功率水平的增加,电动汽车双向充电具有改善负荷需求剖面的有效潜力。
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Electric Vehicle charging management algorithm for a UK low-voltage residential distribution network An optimization model of EVs charging and discharging for power system demand leveling A circuit approach for the propagation analysis of voltage unbalance emission in power systems A novel high-power AC/AC modular multilevel converter in Y configuration and its control strategy Comprehensive optimization for power system with multiple HVDC infeed
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