Considering Constant Power Load for DC Microgrid Control Strategy: Fixed-time Feedforward Decoupling-based Autonomous Passivity Model Prediction Technique
ZHANG Zehua, WANG Panbao, LIU Hanying, et al. Considering Constant Power Load for DC Microgrid Control Strategy: Fixed-time Feedforward Decoupling-based Autonomous Passivity Model Prediction Technique[J]. 2026, 46(5): 2007-2021.
ZHANG Zehua, WANG Panbao, LIU Hanying, et al. Considering Constant Power Load for DC Microgrid Control Strategy: Fixed-time Feedforward Decoupling-based Autonomous Passivity Model Prediction Technique[J]. 2026, 46(5): 2007-2021.DOI: 10.13334/j.0258-8013.pcsee.242824.
Considering that DC microgrids should exhibit excellent robustness and coordination when facing source-load side disturbances and the instability problem caused by constant power load (CPL)
the paper proposes an autonomous passivity model predictive control strategy based on fixed-time feedforward decoupling for boost converter parallel system as the object of study. Firstly
the fixed-time sliding mode disturbance observer (FTSMDO) with online estimation of source-load side information is designed
which not only reduces number of system sensors
but also avoids the coupling disturbance of coordinate transformation. Then
combining passivity and model predictive control theories to propose the advanced control strategy that possess the advantages of both and compensate their respective weaknesses
while realizing decentralized power sharing autonomous control structure under fixed-time feed-forward decoupling of observers. Moreover
the stability analysis method of the bifurcation diagram based on the discrete-time model of the system is proposed
which explores the critical power of constant power load and the selection criterion of decoupling control parameters. Finally
the effectiveness and superiority of proposed controller is verified through simulation and experimental results with less system prior knowledge.