
Decentralised control and fault ride‐through of a multi‐microgrid system
Author(s) -
Sahoo Saroja Kanti,
Kishore Nudurupati Krishna,
Sinha Avinash Kumar
Publication year - 2019
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/iet-stg.2018.0216
Subject(s) - microgrid , converters , photovoltaic system , fault (geology) , computer science , inverter , control theory (sociology) , interfacing , backup , voltage , fault current limiter , engineering , electronic engineering , electric power system , power (physics) , electrical engineering , control (management) , physics , quantum mechanics , artificial intelligence , database , seismology , geology , computer hardware
A multi‐microgrid (MMG) system comprises of a cluster of microgrids interconnected for reliable and efficient operation in grid connected as well as islanded modes. In this study, the fault‐ride‐through capability of an MMG system is addressed. A solution to under‐voltage and over‐current scenarios arising due to severe short‐circuit faults in inverter‐interfaced MMG system is proposed for grid‐connected and islanded modes. The MMG system has the primary sources as the solar photovoltaic system, static synchronous compensator, and wind energy‐based generation units with an additional battery as the backup source at the dc link of individual microgrids. Gate turn‐off thyristors based fault‐current limiters are considered at the individual microgrid level of the MMG system. A sliding‐mode control is employed in the decentralised controllers of the interfacing voltage‐source converters and bidirectional buck–boost converters for output current control. Accurate voltage, current, and frequency control are achieved during the fault by incorporating the proposed control strategies. The proposed decentralised control in the MMG system is experimentally verified in real time using a real‐time digital simulator (OP4510) from OPAL‐RT.