基于偏最小二乘回归的低压微电网虚拟阻抗预测研究  

Research on Prediction of Virtual Impedance in Low-voltage Microgrid Based on Partial Least Squares Regression

作　　者：乔金朋 QIAO Jinpeng(College of Electrical and Information Engineering,Anhui University of Science&Technology,Huainan 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,淮南232001

出　　处：《电源学报》2024年第6期139-152,共14页Journal of Power Supply

摘　　要：针对孤岛微电网在采用基于虚拟阻抗的改进下垂控制时由于虚拟阻抗为固定值,当线路阻抗发生变化时仍存在无功功率不能精确分配和无功环流的问题,提出1种基于偏最小二乘回归的虚拟阻抗预测模型,采用线路阻抗值和补偿前系统阻抗值来预测虚拟阻抗值,实现自适应虚拟阻抗,从而克服基于虚拟阻抗的改进下垂控制存在的问题。该模型无需检测实时功率值和环流值,也无需借助通信网络。通过与神经网络模型的预测结果进行对比,证明了所提偏最小二乘回归虚拟阻抗预测模型的预测准确性优于神经网络模型。最后在MATLAB/Simulink下搭建微电网仿真系统对自适应虚拟阻抗进行仿真验证,仿真结果证明了所提模型的优越性。When the improved droop control based on virtual impedance is adopted in island microgrid,the problem of inaccurate distribution of reactive power and reactive power circulation will still occur with the changing line impedance due to the fixed value of virtual impedance.To solve this problem,a virtual impedance prediction model based on partial least squares regression(PLSR)is proposed,which uses the line impedance value and the system impedance value before compensation to predict the virtual impedance value and realizes the adaptive virtual impedance,thus overcoming the problem in the improved droop control based on virtual impedance.There is no need to detect the real-time power value and circulation value,and the use of communication network is not required.Furthermore,from a comparison with the prediction results obtained by neural network models,it is proved that the prediction accuracy of the virtual impedance prediction model based on PLSR is better.At last,a simulation system of microgrid is constructed in MATLAB/Simulink to verify the adaptive virtual impedance,and simulation results show the superiority of the proposed model.

关 键 词：微电网 虚拟阻抗 多重相关性 偏最小二乘回归 

分 类 号：TM7[电气工程—电力系统及自动化]