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

State-of-Charge Balance Using Adaptive Droop Control for Distributed Energy Storage Systems in DC Microgrid Applications
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DOI:
10.1109/tie.2013.2279374
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发表时间:
2014-06
影响因子:
7.7
通讯作者:
Xiaonan Lu;K. Sun;J. Guerrero;J. Vasquez;Lipei Huang
Xiaonan Lu;K. Sun;J. Guerrero;J. Vasquez;Lipei Huang
中科院分区:
计算机科学1区
文献类型:
--
作者:
Xiaonan Lu;K. Sun;J. Guerrero;J. Vasquez;Lipei Huang

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研究了直流微电网分布式储能系统的协调控制问题。为了平衡各储能单元的荷电状态,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n阶成反比。通过使用基于SoC的下垂方法,具有较高SoC的ESU提供更多功率,而具有较低SoC的ESU提供更少功率。因此,具有较高SoC的ESU中存储的能量比具有较低SoC的ESU中存储的能量减少得更快。每个ESU之间的SoC差异逐渐变小,并且最终,负载功率在分布式ESU之间均等地共享。同时,在自适应下垂控制中,负载分配速度可以通过改变SoC的指数来调节。建立了基于SoC的自适应下垂控制系统的模型,并利用该模型分析了系统的稳定性。为了验证该方法的有效性,给出了2 × 2.2 kW并联变流器系统的仿真和实验结果。
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 nth 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 × 2.2 kW parallel converter system are presented in order to validate the proposed approach.