现代电子技术2024，Vol.47Issue(14)：89-93,5.DOI:10.16652/j.issn.1004-373x.2024.14.014
卡尔曼滤波改进虚拟同步机控制研究
Research on VSG control improved by Kalman filter
摘要
Abstract
The virtual synchronous generator(VSG)can provide inertial support for the power grid by simulating the dynamic characteristics of the synchronous generator.However,the noise in the communication transmission process of the VSG system will affect the accuracy and cause frequency jitter.Therefore,the Kalman filter is added to the traditional VSG control system to form a new disturbance immunity control mode.The covariance matrix Q and R of Kalman filter are used as the individual code of genetic algorithm,and the fitness function is designed to evaluate the filtering effect under different parameter combinations to improve the performance of VSG system.The simulation results show that the proposed control strategy can effectively improve the running stability and eliminate the frequency jitter at the machine end.关键词
卡尔曼滤波/虚拟同步发电机/噪声消除/遗传算法优化/适应度函数/并网运行Key words
Kalman filter/virtual synchronous generator/noise reduction/genetic algorithm optimization/fitness function/grid-connected operation分类
信息技术与安全科学引用本文复制引用
艾鹏飞,吕志鹏,周珊,陈企楚..卡尔曼滤波改进虚拟同步机控制研究[J].现代电子技术,2024,47(14):89-93,5.基金项目
国家重点项目:规模化灵活资源虚拟电厂聚合互动调控关键技术(2021YFB2401200) （2021YFB2401200）
