Model predictive control ofdirect-drivewave power generation system connected toDCmicrogrid throughDCcable

被引：11
作者：
Adaryani, Mohsen Rezaei [1 ]
Taher, Seyed Abbas [1 ]
Guerrero, Josep M. [2 ]
机构：
[1] Univ Kashan, Dept Elect Engn, Kashan, Iran
[2] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark
来源：
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2020年 / 30卷 / 09期
关键词：
Archimedes wave swing; DC microgrid; JONSWAP wave spectrum; linear permanent magnet synchronous generator; model predictive control; supercapacitor; wave power generation systems; WAVE ENERGY-CONVERSION; STRATEGY;
D O I：
10.1002/2050-7038.12484
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页数：18
相关论文
共 21 条
[1]  
[Anonymous], 2018, SPOTLIGHT OCEAN ENER
[2]  
Babarit A., 2017, Ocean wave energy conversion: resource, technologies and performance
[3]   Grid connection of wave energy converter in heaving mode operation by supercapacitor storage technology [J].
Brando, Gianluca ;
Dannier, Adolfo ;
Del Pizzo, Andrea ;
Di Noia, Luigi Pio ;
Pisani, Cosimo .
IET RENEWABLE POWER GENERATION, 2016, 10 (01) :88-97
[4]   Transient Stability Augmentation of a Wave Energy Conversion System Using a Water Cycle Algorithm-Based Multiobjective Optimal Control Strategy [J].
Hasanien, Hany M. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (06) :3411-3419
[5]   Gravitational search algorithm-based optimal control of archimedes wave swing-based wave energy conversion system supplying a DC microgrid under uncertain dynamics [J].
Hasanien, Hany M. .
IET RENEWABLE POWER GENERATION, 2017, 11 (06) :763-770
[6]   Performance and power quality assessment of a linear electric generator focused on microgeneration applications [J].
Hernandez, Ivan ;
Segundo, Juan ;
Gonzalez, Xiomara ;
Luna, David ;
Juarez, Zulema .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2017, 27 (07)
[7]   Multi-objective model predictive control of doubly-fed induction generators for wind energy conversion [J].
Hu, Jiefeng ;
Li, Yong ;
Zhu, Jianguo .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (01) :21-29
[8]   MPPT strategy based on speed control for AWS-based wave energy conversion system [J].
Marei, Mostafa I. ;
Mokhtar, Mohamed ;
El-Sattar, Ahmed A. .
RENEWABLE ENERGY, 2015, 83 :305-317
[9]   Finite-Set Model Predictive Control Scheme With an Optimal Switching Voltage Vector Technique for High-Performance IPMSM Drive Applications [J].
Mwasilu, Francis ;
Kim, Eun-Kyung ;
Rafaq, Muhammad Saad ;
Jung, Jin-Woo .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (09) :3840-3848
[10]   Novel Control Strategy of Wave Energy Converter Using Linear Permanent Magnet Synchronous Generator [J].
Oh, Ye Jun ;
Park, Joon Sung ;
Hyon, Byong Jo ;
Lee, Ju .
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2018, 28 (03)
123