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Model predictive control for parallel three‐level T‐type grid‐connected inverters in renewable power generations
Author(s) -
Xing Xiangyang,
Zhang Chenghui,
He Jinwei,
Chen Alian,
Zhang Zicheng
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2016.0361
Subject(s) - control theory (sociology) , inductance , model predictive control , transformer , grid , computer science , voltage , static var compensator , renewable energy , electronic engineering , topology (electrical circuits) , ac power , engineering , electrical engineering , mathematics , control (management) , geometry , artificial intelligence
As the penetration of renewable power generation units connected to the grid increases, high power quality and high efficiency have been widespread concerned. The parallel 3LT 2 Is are necessary to improve the quality and efficiency of applications. The use of common dc‐link without isolating transformers will cause the zero‐sequence circulating current (ZSCC) problem. This study proposes a finite control set model predictive current control to suppress the ZSCC, balance the neutral‐point (NP) voltage as well as control the currents with fast transient response. The cause of the ZSCC generated in the parallel 3LT 2 I is analysed. The proposed ZSCC suppression technique is achieved through changing the redundant small vectors in the parallel 3LT 2 Is. Moreover, the coupling problem between the ZSCC and NP balance is solved by the amplitude comparison of NP voltage and ZSCC. As a result, better ZSCC suppression and NP voltage performance can be achieved in different output currents and filter inductance condition. The proposed method has been verified experimentally.

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