基于变论域模糊控制的VSG自适应控制策略

朱晓龙; 刘毅力; 刘圣荇

doi:10.16513/j.2096-2185.DE.2308503

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分布式能源 ›› 2023, Vol. 8 ›› Issue (5) : 19-28. DOI: 10.16513/j.2096-2185.DE.2308503

学术研究

基于变论域模糊控制的VSG自适应控制策略

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VSG Adaptive Control Strategy Based on Variable Universe Fuzzy Control

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文章历史 +

摘要

针对虚拟同步发电机(virtual synchronous generator，VSG)控制在负载扰动或电网频率波动下引起的有功功率与输出频率振荡问题，结合变论域思想提出一种VSG改进模糊自适应控制策略。首先，建立VSG有功－频率环小信号模型，分析虚拟惯量与阻尼系数对系统暂态过程的影响，为参数选取提供依据。其次，依据功角特性曲线确定参数与输出频率间的变化关系，以此为基础设计模糊控制器动态调节虚拟惯量与阻尼系数。之后，通过添加伸缩因子模糊控制器完成模糊论域的动态整定，其与增加模糊规则等效，可提高控制精度。最后，在Matlab/Simulink中搭建单机VSG模型，对几种自适应控制进行仿真对比，结果表明所提出的控制策略在抑制功率和频率超调及降低调节时间方面表现更加优异，验证了该控制策略的有效性和优越性。

Abstract

Aiming at the problem of active power and output frequency oscillation caused by load disturbances or grid frequency fluctuations in virtual synchronous generator (VSG) control, an improved fuzzy adaptive control strategy for VSG combined with the method of variable universe is proposed. Firstly, this paper establishes a small signal model of VSG active-frequency loop to analyze the influence of virtual inertia and damping coefficient on the system transient process, which provides the basis for parameter selection. Secondly, through the power angle characteristic curve, the variation relationship between the parameters and the output frequency is determined. On this basis, a fuzzy controller is designed to dynamically adjust the virtual inertia and damping coefficient. Then, dynamic tuning of the fuzzy domain is achieved by incorporating a telescopic factor fuzzy controller, which effectively increases the number of fuzzy rules and enhances control accuracy. Finally, a single VSG model is built in Matlab/Simulink to simulate and compare several adaptive strategies. The results demonstrate that the proposed control strategy exhibits superior performance in suppressing power and frequency overshoot and reducing regulation time, thus the effectiveness and superiority of this control strategy are verified.

导出引用

朱晓龙, 刘毅力, 刘圣荇. 基于变论域模糊控制的VSG自适应控制策略[J]. 分布式能源. 2023, 8(5): 19-28 https://doi.org/10.16513/j.2096-2185.DE.2308503

Xiaolong ZHU, Yili LIU, Shengxing LIU. VSG Adaptive Control Strategy Based on Variable Universe Fuzzy Control[J]. Distributed Energy Resources. 2023, 8(5): 19-28 https://doi.org/10.16513/j.2096-2185.DE.2308503

中图分类号： TK01;TM76

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