A Novel Model Predictive Control of Cascade Multilevel Inverter for Solar PV System
Author(s) -
Hou-da Zhu,
Caixue Chen,
Kai Liu,
Kai Liao
Publication year - 2018
Publication title -
destech transactions on environment energy and earth science
Language(s) - English
Resource type - Journals
ISSN - 2475-8833
DOI - 10.12783/dteees/appeec2018/23523
Subject(s) - control theory (sociology) , cascade , model predictive control , photovoltaic system , total harmonic distortion , matlab , inverter , computer science , compensation (psychology) , voltage , engineering , control (management) , artificial intelligence , psychology , electrical engineering , chemical engineering , psychoanalysis , operating system
In this paper, an improved finite control set model predictive control(FCS-MPC) applying to solar PV system is proposed. Calculation grows exponentially when voltage level increased in traditional FCS-MPC for multilevel cascaded inverters. With applications of current delay compensation, feedback compensation and reference current correction, tracking feature is improved and current harmonic distortion is reduced. Simplification of the voltage vector selection, by taking the calculations of complex partition voltage vector tracking to be done in a single partition, is also adopted, in which calculation has been drastically reduced. Proposed algorithm is validated with Simulation of comparison traditional FCS-MPC in MATLAB.
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