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基于VSG的风储并网系统电池储能附加自抗扰阻尼控制策略

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为提升含双馈风电并网系统抑制低频振荡的能力,提出一种基于虚拟同步发电机控制的电池储能附加自抗扰阻尼控制策略.首先,基于复数力矩系数法阐明了电池储能附加自抗扰控制增强系统阻尼的原理;然后,以储能变流器虚拟同步发电机有功控制环节的有功功率参考值为输入,以同步发电机角速度偏差量为输出,通过系统辨识方法获得两时域信号之间的开环传递函数;在此基础上,以同步发电机角速度偏差量作为控制器的输入信号,通过在储能变流器的虚拟同步发电机有功环节附加自抗扰阻尼控制,然后使用粒子群算法整定阻尼控制器参数;最后,通过时域仿真验证了该阻尼控制策略抑制低频振荡的有效性.仿真表明:所提方法可以及时减小系统功率振荡衰减到零的时间且减小超调量,增强含大规模风电并网系统阻尼.
Additional Self-disturbance Rejection Control Strategy for Battery Storage in VSG-based Wind Power Grid-connected System
In order to enhance the ability of doubly fed wind power grid connected systems to suppress low-frequency oscillations,a battery energy storage additional self-disturbance rejection damping control strategy based on virtual synchronous generator control was proposed.Firstly,based on the complex torque coefficient method,the principle of adding self-disturbance rejection control to enhance system damping in battery energy storage was elucidated;then,taking the active power reference value of the virtual synchronous generator active control link in the energy storage inverter as the input and the angular velocity deviation of the synchronous generator as the output,the open-loop transfer function between the two time-domain signals was obtained through system identification method;on this basis,the angular velocity deviation of the synchronous generator was taken as the input signal of the controller,and self-disturbance rejection damping control was added to the virtual synchronous generator active link of the energy storage inverter;then,the particle swarm optimization algorithm was used to adjust the damping controller parameters;finally,the effectiveness of the damping control strategy in suppressing low-frequency oscillations was verified through time-domain simulation.The simulation shows that it is possible to timely reduce the time for system power oscillation decaying to zero and reduce overshoot,enhancing the damping of large-scale wind power grid connected systems.

doubly-fed wind turbinebattery energy storagevirtual synchronous generatorself-disturbance rejection damping controlparticle swarm algorithm

白望望、方颖颖、李晓英、李万伟

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国网甘肃省电力公司经济技术研究院,甘肃兰州 730050

兰州理工大学电气工程与信息工程学院,甘肃兰州 730050

双馈风电机组 电池储能 虚拟同步发电机 自抗扰阻尼控制 粒子群算法

2024

电气自动化
上海电气自动化设计研究所有限公司 上海市自动化学会

电气自动化

CSTPCD
影响因子:0.377
ISSN:1000-3886
年,卷(期):2024.46(6)