基于谐波特性的充电控制策略研究
发布时间:2019-03-22 06:35
【摘要】:针对实际公交充电站运行给电网带来的谐波和电力负荷影响问题,通过搭建模型分析充电站谐波特性,依据充电站实际运营情况从谐波抑制和平衡电力负荷角度,提出一种充电控制策略,用于降低中午充电的谐波含量和电力负荷,并对其进行仿真验证,仿真结果表明:在该充电控制策略下充电,能有效降低谐波含量,并可有效消减负荷高峰。
[Abstract]:Aiming at the harmonic and power load influence caused by the operation of the actual bus charging station, the harmonic characteristics of the charging station are analyzed by building a model, and the harmonic suppression and balance power load from the point of view of harmonic suppression and balance power load are analyzed according to the actual operation of the charging station. A charging control strategy is proposed to reduce the harmonic content and power load of noon charge, and the simulation results show that the charge control strategy can effectively reduce the harmonic content, and the simulation results show that the charge control strategy can reduce the harmonic content effectively, and the simulation results show that the charge control strategy can reduce the harmonic content and load. And can effectively reduce the peak load.
【作者单位】: 山东科技大学电气与自动化工程学院;中国矿业大学信息与电气工程学院;
【基金】:山东科技大学研究生科技创新基金项目(YC130335)
【分类号】:TM910.6
[Abstract]:Aiming at the harmonic and power load influence caused by the operation of the actual bus charging station, the harmonic characteristics of the charging station are analyzed by building a model, and the harmonic suppression and balance power load from the point of view of harmonic suppression and balance power load are analyzed according to the actual operation of the charging station. A charging control strategy is proposed to reduce the harmonic content and power load of noon charge, and the simulation results show that the charge control strategy can effectively reduce the harmonic content, and the simulation results show that the charge control strategy can reduce the harmonic content effectively, and the simulation results show that the charge control strategy can reduce the harmonic content and load. And can effectively reduce the peak load.
【作者单位】: 山东科技大学电气与自动化工程学院;中国矿业大学信息与电气工程学院;
【基金】:山东科技大学研究生科技创新基金项目(YC130335)
【分类号】:TM910.6
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