Dual-Parameter Adaptive Control Strategy of Inertia and Damping for Energy Storage Converters

Jun Wang, Wujie Chao, Liyu Dai, Xuejian Han, Z. Ling
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引用次数: 1

Abstract

To tackle the issue of power system transient stability deterioration resulted from a large number of power electronic equipment connected with grid, scholars proposed the virtual synchronous generator control (VSG) strategy. Aiming at problems of transient frequency and active power overshoot in traditional VSG control, a dual-parameter adaptive control strategy of inertia and damping for energy storage converters is proposed in this paper. By analyzing active power and angular frequency transient characteristic curves, mathematical expression of the dual-parameter adaptive control strategy is proposed. It avoids amplification noise caused by the introduction of differential link and the high operation requirement of the controller. The transfer function of power loop is established based on the analysis of traditional small signal model of synchronous generator. Besides, the selection range of parameters is given. Finally, through simulation studies carried out in the Matlab/Simulink environment, it is concluded that compared with traditional VSG control, the presented adaptive control strategy can reduce frequency and power overshoot by approximately 50% during transient process, along with reduce adjustment time effectively.
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储能变换器惯量和阻尼双参数自适应控制策略
针对大量电力电子设备并网导致电力系统暂态稳定恶化的问题,学者们提出了虚拟同步发电机控制(VSG)策略。针对传统VSG控制中存在的暂态频率和有功功率超调问题,提出了一种储能变换器的惯性和阻尼双参数自适应控制策略。通过对有功功率和角频率暂态特性曲线的分析,提出了双参数自适应控制策略的数学表达式。避免了由于引入差动环节而产生的放大噪声和对控制器的高运行要求。在分析传统同步发电机小信号模型的基础上,建立了功率回路的传递函数。并给出了参数的选择范围。最后,通过在Matlab/Simulink环境下的仿真研究,得出与传统的VSG控制相比,所提出的自适应控制策略在暂态过程中可将频率和功率超调量降低约50%,并有效缩短调整时间。
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