Model predictive control of grid-connected current in HCSY-MG system based on adaptive compensation of fluctuating quantities
LI Jin-jian
WANG Xing-gui
LI Yu
DING Ying-jie
XUE Sheng
Abstract：In the grid-connected system of a half-bridge converter series Y-connection microgrid(HCSY-MG),fluc-tuations in renewable energy power will introduce DC and fundamental frequency fluctuation components in the grid-connected current.To address this specific issue in the HCSY-MG system,a grid-connected current model predictive control strategy based on adaptive compensation of fluctuation components is proposed.Under the condition of stochas-tic fluctuations in renewable energy,the grid-connected current expression of the HCSY-MG system is derived,and its characteristics are analyzed.Based on these characteristics,the grid-connected current expression is utilized as the predic-tive model,and the artemisnin optimization algorithm is improved using chaotic and adaptive mechanisms to enhance the search speed in the rolling optimization process.This approach effectively reduces the fluctuation components in the grid-connected current while improving control performance and accuracy.Finally,simulations and experimental comparisons with existing methods verify the feasibility,effectiveness,and specificity of the proposed control strategy.
Keywords：microgridsmodel predictive controlgrid-connected currentvolatility compensationimproved artemis-inin optimization algorithm
Publication Date：2025-12-30
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：11( 2517-2527 )