基于模糊控制的虚拟同步电机惯量和阻尼控制策略OA
Fuzzy Control-Based Virtual Synchronous Generator Inertia and Damping Control Strategy
针对由于新能源并网比例增加导致的微电网暂态稳定性下降的问题,文中提出了一种基于模糊控制的虚拟同步发电机(Virtual Synchronous Generator,VSG)惯量与阻尼控制策略.所提策略充分发挥了模糊控制在非线性处理中的优势,并基于同步电机的功角特性曲线以及通过VSG暂态行为分析推导出惯量与阻尼调整原则,重新设计了更全面且精细的模糊控制规则.该规则依据频率偏差及其变化率实时调整VSG的转动惯量和阻尼,实现了对VSG参数的精确实时控制.实验结果表明,相较于固定参数和传统自适应VSG控制方法,所提策略在不同干扰条件下显著提升了VSG的抗干扰能力,加快了响应速度,有效增强了微电网的暂态稳定性.
In view of the problem of the decline in the transient stability of microgrids caused by the increase in the proportion of new energy grid connection,a VSG(Virtual Synchronous Generator)inertia and damping control strategy based on fuzzy control is proposed.The proposed strategy fully exploits the advantages of fuzzy control in non-linear processing.Based on the power-angle characteristic curve of synchronous motors and the derivation of inertia and damping adjustment principles through VSG transient behavior analysis,a more comprehensive and detailed fuzzy control rule has been redesigned.This rule adjusts the moment of inertia and damping of VSG in real time based on the frequency deviation and its rate of change,achieving precise and real-time control of VSG parameters.The exper-imental results show that,compared with the fixed parameter and traditional adaptive VSG control methods,the pro-posed strategy significantly improves the anti-interference ability of VSG under different interference conditions,ac-celerates the response speed,and effectively enhances the transient stability of the microgrid.
刘祥瑜;曹立霞;侯振华;张玉敏;郭景顺;陈雷动
山东建筑大学 信息与电气工程学院,山东 济南 250101山东建筑大学 信息与电气工程学院,山东 济南 250101山东建筑大学 信息与电气工程学院,山东 济南 250101山东科技大学 电气与自动化工程学院,山东 青岛 266590山东建筑大学 信息与电气工程学院,山东 济南 250101山东领亿智能技术有限公司,山东 济南 250001
信息技术与安全科学
新能源消纳虚拟同步电机模糊控制虚拟转动惯量阻尼系数小干扰稳定性动态特性自适应控制
renewable energy integrationvirtual synchronous generatorfuzzy controlvirtual moment of inertiadamping coefficientsmall-signal stabilitydynamic characteristicsadaptive control
《电子科技》 2026 (6)
63-72,10
国家自然科学基金(52107111)中国博士后面上项目(2023M734092)National Natural Science Foundation of China(52107111)China Postdoctoral Science Foundation(2023M734092)
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