Open AccessModel predictive control of direct‐drive wave power generation system connected to DC microgrid through DC cable
Author(s) -
Adaryani Mohsen Rezaei,
Taher Seyed Abbas,
Guerrero Josep M.
Publication year - 2020
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12484
Subject(s) - microgrid , control theory (sociology) , model predictive control , pulse width modulation , engineering , energy storage , voltage , renewable energy , controller (irrigation) , power (physics) , generator (circuit theory) , matlab , computer science , electrical engineering , control (management) , physics , quantum mechanics , artificial intelligence , agronomy , biology , operating system
Wave energy is a renewable energy with a high density. There are different types of wave power generation systems (WPGSs), including Archimedes wave swing (AWS) coupled to a linear permanent magnet synchronous generator. This study proposes a model predictive control (MPC) for AWS‐based WPGS. The predictive current controller is implemented in a generator‐side converter as a substation for proportional integral (PI) controllers with pulse‐width modulation (PWM). Also, a supercapacitor energy storage system with bidirectional DC/DC converter is proposed to maintain DC link voltage stability. A DC/DC converter is used to keep DC microgrid bus voltage at the desired value. The effectiveness of the proposed MPC method is tested at various operating conditions and compared with conventional PI controllers with PWM in the MATLAB/SIMULINK environment.