孤岛模式下VSG的转动惯量无模型自适应控制  

Model Free Adaptive Control of Inertia for VSG in Islanding

作　　者：邢通 曹荣敏[1] 候忠生 郑鑫鑫 XING Tong;CAO Rong-min;HOU Zhong-shen;ZHENG Xin-xin(School of Automation,Beijing Information Science Technology University,Beijing 100192,China;School of Automation,Qingdao University,Qingdao 266071,China)

机构地区：[1]北京信息科技大学自动化学院,北京100192 [2]青岛大学自动化学院,山东青岛266071

出　　处：《控制工程》2022年第1期152-157,共6页Control Engineering of China

基　　金：国家自然科学基金重点项目(61833001,6143300);北京市自然科学基金资助项目(4142017)。

摘　　要：频率稳定是微网在孤岛模式下稳定运行的关键。由于传统下垂控制的转动惯量固定,当微网中接入时变负载时无法满足系统的频率稳定需求。针对传统控制方式的不足,提出虚拟同步发电机的转动惯量无模型自适应控制。首先,分析在孤岛模式下的传统虚拟同步发电机控制算法的角速度变化率的抑制效果和恢复时长;其次,设计无模型自适应控制器并证明控制算法的收敛性;最后,利用MATLAB/Simulink搭建虚拟同步发电机模型,通过对比几种转动惯量控制算法的实验波形,证明转动惯量无模型自适应控制算法能够有效改善微网的稳定性,并提高系统的动态性能。Frequency stability is the key to the stable operation of micro-grid in islanding.Due to the inertia of traditional droop control is fixed,the frequency stability of the system cannot be satisfied when the time-varying load is connected into the micro-grid.To overcome the shortcomings of the traditional droop control,model free adaptive control(MFAC) of inertia for virtual synchronous generator(VSG) is proposed in this paper.The suppression effect and recovery time are analyzed of the change rate of angular velocity of the traditional VSG control algorithm in island mode.The MFAC controller is designed and the convergence of the proposed control algorithm is proved.Finally,a VSG model is built by using MATLAB/Simulink.Moreover,through comparing the experimental waveforms of several inertia control algorithms,it is proved that the model MFAC algorithm can effectively improve the stability of the micro-grid system and enhance its dynamic response.

关 键 词：微网 虚拟同步发电机 转动惯量 无模型自适应控制 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]