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State-of-Charge Balance Using Adaptive Droop Control for Distributed Energy Storage Systems in DC Microgrid Applications

机译:直流微电网应用中分布式能量存储系统的自适应下垂控制的荷电状态平衡

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摘要

This paper presents the coordinated control of distributed energy storage systems in dc microgrids. In order to balance the state-of-charge (SoC) of each energy storage unit (ESU), an SoC-based adaptive droop control method is proposed. In this decentralized control method, the droop coefficient is inversely proportional to the $n$th order of SoC. By using a SoC-based droop method, the ESUs with higher SoC deliver more power, whereas the ones with lower SoC deliver less power. Therefore, the energy stored in the ESU with higher SoC decreases faster than that with lower SoC. The SoC difference between each ESU gradually becomes smaller, and finally, the load power is equally shared between the distributed ESUs. Meanwhile, the load sharing speed can be adjusted by changing the exponent of SoC in the adaptive droop control. The model of the SoC-based adaptive droop control system is established, and the system stability is thereby analyzed by using this model. Simulation and experimental results from a 2 $times$ 2.2 kW parallel converter system are presented in order to validate the proposed approach.
机译:本文提出了直流微电网中分布式储能系统的协调控制。为了平衡每个能量存储单元(ESU)的充电状态(SoC),提出了一种基于SoC的自适应下垂控制方法。在这种分散控制方法中,下垂系数与SoC的第n阶成反比。通过使用基于SoC的下垂方法,具有较高SoC的ESU可以提供更高的功率,而具有较低SoC的ESU可以提供更低的功率。因此,具有较高SoC的ESU中存储的能量下降的速度比具有较低SoC的ESU中存储的能量下降更快。每个ESU之间的SoC差异逐渐变小,最后,负载功率在分布式ESU之间平均分配。同时,可以通过改变自适应下垂控制中SoC的指数来调整负载共享速度。建立了基于SoC的自适应下垂控制系统的模型,并通过该模型对系统的稳定性进行了分析。为了验证所提出的方法,给出了2倍×2.2 kW并联转换器系统的仿真和实验结果。

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