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Double-Quadrant State-of-Charge-Based Droop Control Method for Distributed Energy Storage Systems in Autonomous DC Microgrids

机译:自治直流微电网中分布式能量存储系统的基于双象限电荷状态的下垂控制方法

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摘要

In this paper, a double-quadrant state-of-charge (SoC)-based droop control method for distributed energy storage system is proposed to reach the proper power distribution in autonomous dc microgrids. In order to prolong the lifetime of the energy storage units (ESUs) and avoid the overuse of a certain unit, the SoC of each unit should be balanced and the injected/output power should be gradually equalized. Droop control as a decentralized approach is used as the basis of the power sharing method for distributed energy storage units. In the charging process, the droop coefficient is set to be proportional to the th order of SoC, while in the discharging process, the droop coefficient is set to be inversely proportional to the th order of SoC. Since the injected/output power is inversely proportional to the droop coefficient, it is obtained that in the charging process the ESU with higher SoC absorbs less power, while the one with lower SoC absorbs more power. Meanwhile, in the discharging process, the ESU with higher SoC delivers more power and the one with lower SoC delivers less power. Hence, SoC balancing and injected/output power equalization can be gradually realized. The exponent of SoC is employed in the control diagram to regulate the speed of SoC balancing. It is found that with larger exponent , the balancing speed is higher. MATLAB/simulink model comprised of three ESUs is implemented and the simulation results are shown to verify the proposed approach.
机译:本文提出了一种基于双象限电量状态下的分布式储能系统下垂控制方法,以实现自主直流微电网中适当的功率分配。为了延长能量存储单元(ESU)的寿命并避免某个单元的过度使用,应平衡每个单元的SoC,并应逐渐均衡注入/输出功率。作为分散方法的下垂控制被用作分布式能量存储单元的功率共享方法的基础。在充电过程中,下垂系数设置为与SoC的三阶成正比,而在放电过程中,下垂系数设置为与SoC的三阶成反比。由于注入/输出功率与下垂系数成反比,因此可以确定,在充电过程中,具有较高SoC的ESU吸收较少的功率,而具有较低SoC的ESU吸收较大的功率。同时,在放电过程中,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,可以逐渐实现SoC平衡和注入/输出功率均衡。控制图中采用了SoC的指数来调节SoC平衡的速度。发现指数越大,平衡速度越高。实现了由三个ESU组成的MATLAB / simulink模型,并显示了仿真结果以验证所提出的方法。

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