Open AccessMultivariable Model Predictive Control for a Virtual Synchronous Generation-Based Current Source Inverter
Author(s) -
Jonggrist Jongudomkarn
Publication year - 2021
Publication title -
international journal of electrical and electronic engineering and telecommunications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.171
H-Index - 6
ISSN - 2319-2518
DOI - 10.18178/ijeetc.10.3.196-202
Subject(s) - interfacing , model predictive control , photovoltaic system , grid , control theory (sociology) , computer science , inverter , voltage source , three phase , inertia , multivariable calculus , boosting (machine learning) , control engineering , voltage , electronic engineering , engineering , control (management) , electrical engineering , physics , geometry , mathematics , classical mechanics , artificial intelligence , machine learning , computer hardware
Three-phase current-source inverters are an alternative solution for interfacing photovoltaic modules to the utility thanks to its voltage boosting ability. This paper presents a virtual synchronous generator strategy for a three-phase current-source inverter using a multivariable model predictive control. The proposed method can ensure operations in both grid-connected and islanded modes while achieving virtual inertia features to stabilize the grid frequency and active damping to reduce grid current distortions caused by an output CL filter included on the grid side of the system. The obtained simulation results in the PSCAD/EMTDC environment software verify the effectiveness and the excellent performance of the proposed method.