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State of charge balancing droop control.

机译:电荷平衡状态下垂控制状态。

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摘要

This thesis presents a load sharing method applied in a distributed micro grid system. The goal of this method is to balance the state-of-charge (SoC) of each parallel connected battery and make it possible to detect the average SoC of the system by measuring bus voltage for all connected modules. In this method the reference voltage for each battery converter is adjusted by adding a proportional SoC factor. Under such setting the battery with a higher SoC will output more power, whereas the one with lower SoC gives out less. Therefore the higher SoC battery will use its energy faster than the lower ones, and eventually the SoC and output power of each battery will converge. And because the reference voltage is related to SoC status, the information of the average SoC in this system could be shared for all modules by measuring bus voltage. The SoC balancing speed is related to the SoC droop factors. This SoC-based load sharing control system is analyzed in feasibility and stability. Simulations in MATLAB/Simulink are presented, which indicate that this control scheme could balance the battery SoCs as predicted. The observation of SoC sharing through bus voltage was validated in both software simulation and hardware experiments. It could be of use to non-communicated distributed power system in load shedding and power planning.
机译:本文提出了一种应用于分布式微电网系统的负荷分担方法。该方法的目的是平衡每个并联电池的荷电状态(SoC),并通过测量所有连接模块的总线电压来检测系统的平均SoC。在这种方法中,每个电池转换器的参考电压通过添加比例SoC因子进行调整。在这种设置下,具有较高SoC的电池将输出更多的功率,而具有较低SoC的电池将输出更少的功率。因此,较高的SoC电池将比较低的SoC消耗更快的能量,最终每个电池的SoC和输出功率将收敛。并且由于参考电压与SoC状态有关,因此可以通过测量总线电压为所有模块共享该系统中平均SoC的信息。 SoC平衡速度与SoC下垂因素有关。分析了这种基于SoC的负载共享控制系统的可行性和稳定性。给出了在MATLAB / Simulink中的仿真,表明该控制方案可以按预期平衡电池SoC。通过总线电压观察SoC共享的情况已在软件仿真和硬件实验中得到验证。它可以用于非通信分布式电源系统的减载和电源规划中。

著录项

  • 作者

    Hu, R.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 72 p.
  • 总页数 72
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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