Open AccessHybrid multi‐DC–AC MG based on multilevel interlinking converter
Author(s) -
Sadeghi Meisam,
Khederzadeh Mojtaba
Publication year - 2019
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2018.5579
Subject(s) - converters , computer science , waveform , rectifier (neural networks) , voltage , topology (electrical circuits) , microgrid , electronic engineering , control theory (sociology) , electrical engineering , engineering , control (management) , artificial neural network , stochastic neural network , machine learning , artificial intelligence , recurrent neural network
This study presents a multilevel interlinking converter (IC) topology to form a hybrid multi‐DC–AC microgrid (MG) with an improved control system. The proposed topology provides stable DC voltage levels to link different DC MGs. Furthermore, without using any additional DC–DC converters to establish multi‐DC–AC MG, the number and rating of required components are reduced. The IC performs multi‐task operations including inverter‐based, rectifier‐based and DC–DC buck–boost‐based roles in hybrid multi‐DC–AC system, using a modified control strategy. A simple complementary control has been applied to keep the voltage of DC links stable instead of using other components. The proposed system improves the quality of AC‐side waveforms with the lower size of filters and reduces the DC‐side voltage transients compared with conventional bridge‐type converters. Simulation results using PSCAD/EMTDC software and experimental result are presented to validate the effectiveness and advantages of the proposed configuration in the grid‐connected mode.