电力系统保护与控制2024，Vol.52Issue(13)：35-46,12.DOI:10.19783/j.cnki.pspc.240025
基于改进模型预测的并网变换器自适应虚拟惯性控制策略研究
An adaptive virtual inertia control strategy for a grid-connected converter based on improved model prediction
摘要
Abstract
There is a problem that the inertia of DC microgrid is low and it is easy for the voltage of a DC bus to be affected by power fluctuation in the network.Thus an adaptive virtual inertia control strategy based on improved model prediction for grid-connected converter of DC microgrid is proposed.First,adaptive analog virtual synchronous generator control is introduced into the voltage outer loop and,by combining the inertial parameters with the voltage change rate,flexible adjustment of the inertial parameters is realized.Secondly,model predictive control is applied in the current inner loop,along with an improved delay compensation algorithm,to achieve fast tracking of the desired current value and enhance the dynamic characteristics of the control system.Finally,a system model is established based on Matlab/Simulink for simulation.The results show that,compared with the traditional virtual inertia control strategy,the DC bus voltage fluctuation amplitude of the proposed control strategy is smaller and the dynamic performance is better.This can effectively improve the stability of the DC bus voltage and the inertia of the DC microgrid.关键词
直流微电网/并网变换器/自适应虚拟惯性控制/模型预测控制Key words
DC microgrid/grid-connected converter/adaptive virtual inertia control/model predictive control引用本文复制引用
郑峰,苏明鸿,陈静,刘宝谨,刘莞玲,梁宁..基于改进模型预测的并网变换器自适应虚拟惯性控制策略研究[J].电力系统保护与控制,2024,52(13):35-46,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.52167010). 国家自然科学基金项目资助(52167010) （No.52167010）
