Adaptive VSG-Based power allocation strategy for hybrid energy storage

Zihan Li, Liyou Fu
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Abstract

Aiming at the stochasticity of photovoltaic output and the problem of power, voltage, and frequency fluctuation caused by the lack of system inertia and damping parameters, a photovoltaic storage microgrid is constructed as a research object. Firstly, a virtual synchronous motor VSG is used to control the grid-connected inverter and to improve the dynamic performance of the system further. The inertia and damping parameters of the VSG are adjusted adaptively. Secondly, the hybrid energy storage device composed of a supercapacitor and battery adopts a second-order filter to avoid the integrating effect of the first-order filter on the high-frequency power and improve the poor performance of the first-order filter at the cutoff frequency to improve the accuracy of power distribution. Moreover, two negative feedback links of power error are added in the power distribution link to correct the reference power of the energy storage device, which further improves the power tracking effect of the energy storage system. Finally, the effectiveness of the above strategy is verified by a Matlab simulation session.
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基于自适应 VSG 的混合储能功率分配策略
针对光伏发电输出的随机性,以及系统惯性和阻尼参数缺乏导致的功率、电压和频率波动问题,构建了光伏储能微电网作为研究对象。首先,利用虚拟同步电机 VSG 控制并网逆变器,进一步提高系统的动态性能。VSG 的惯性和阻尼参数可进行自适应调节。其次,由超级电容器和电池组成的混合储能装置采用了二阶滤波器,避免了一阶滤波器对高频功率的积分效应,改善了一阶滤波器在截止频率处的不良性能,提高了功率分配的精度。此外,在功率分配环节增加了两个功率误差负反馈环节,对储能装置的参考功率进行修正,进一步提高了储能系统的功率跟踪效果。最后,通过 Matlab 仿真验证了上述策略的有效性。
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