Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm

被引：7
作者：
Mohamed, Nour A. [1 ]
Hasanien, Hany M. [1 ]
Al-Ammar, Essam A. [2 ]
Tostado-Veliz, Marcos [3 ]
Turky, Rania A. [4 ]
Jurado, Francisco [3 ]
Badr, Ahmed O. [1 ]
机构：
[1] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo, Egypt
[2] King Saud Univ, Coll Engn, Dept Elect Engn, Riyadh, Saudi Arabia
[3] Univ Jaen, Dept Elect Engn, Linares, Spain
[4] Future Univ Egypt, Fac Engn & Technol, Elect Engn Dept, Cairo, Egypt
来源：
IET GENERATION TRANSMISSION & DISTRIBUTION | 2023年 / 17卷 / 10期
关键词：
gorilla tropical optimization algorithm (GTO); permanent magnet synchronous generator (PMSG); variable speed wind turbine (VSWT); wind farms; OPTIMAL-CONTROL STRATEGY; GREY WOLF OPTIMIZER; SEARCH ALGORITHM; SYSTEM; STABILITY; INTEGRATION; CONTROLLER; PARAMETERS; DESIGN; HVDC;
D O I：
10.1049/gtd2.12814
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：
This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable-speed wind turbine (VSWT) and connected to the grid through a high-voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine-tune the proportional-integral (PI) controller gains for VSC-based PMSG-VSWT and VSC-based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.
引用
收藏
页码：2388 / 2400
页数：13
相关论文
共 51 条
[1]   Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems [J].
Abdollahzadeh, Benyamin ;
Gharehchopogh, Farhad Soleimanian ;
Mirjalili, Seyedali .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (10) :5887-5958
[2]   Offshore Wind Farm-Grid Integration: A Review on Infrastructure, Challenges, and Grid Solutions [J].
Ali, Syed Wajahat ;
Sadiq, Muhammad ;
Terriche, Yacine ;
Naqvi, Syed Ahmad Raza ;
Hoang, Le Quang Nhat ;
Mutarraf, Muhammad Umair ;
Hassan, Mustafa Alrayah ;
Yang, Guangya ;
Su, Chun-Lien ;
Guerrero, Josep M. .
IEEE ACCESS, 2021, 9 :102811-102827
[3]  
Amin M.N., 2021, HYBRID CSA GWO ALGOR, DOI [10.1007/978-3-030-64336-2_9, DOI 10.1007/978-3-030-64336-2_9]
[4]   Grasshopper Optimization Algorithm-Based PI Controller Scheme for Performance Enhancement of a Grid-Connected Wind Generator [J].
Amin, Mina N. ;
Soliman, Mahmoud A. ;
Hasanien, Hany M. ;
Abdelaziz, Almoataz Y. .
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2020, 31 (02) :393-401
[5]   Low-Voltage Ride-Through of a Synchronous Generator-Based Variable Speed Grid-Interfaced Wind Energy Conversion System [J].
Basak, Rupam ;
Bhuvaneswari, Gurumoorthy ;
Pillai, Rahul R. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (01) :752-762
[6]  
Besheer AH, 2010, ICFC 2010/ ICNC 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FUZZY COMPUTATION AND INTERNATIONAL CONFERENCE ON NEURAL COMPUTATION, P113
[7]  
Camara MS, 2014, 2014 16TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE AND EXPOSITION (PEMC), P114, DOI 10.1109/EPEPEMC.2014.6980620
[8]  
Chen X., 2019, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), P1851, DOI 10.1109/ISGT-Asia.2019.8881336
[9]   Overview of Reactive Power and Voltage Control of Offshore Wind Farms [J].
Gau, Deng-Yue ;
Wu, Yuan-Kang .
2020 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2020), 2021, :276-279
[10]  
Di Huang, 2011, Proceedings 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG 2011), P1, DOI 10.1109/FG.2011.5771323
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