A comprehensive review on DC Microgrid protection schemes

被引:35
作者
Baidya, Sanghita [1 ]
Nandi, Champa [1 ]
机构
[1] Tripura Univ, Dept Elect Engn, Agartala, India
关键词
DC microgrid; Protection schemes; Challenges with protection schemes; Protection devices; Research gaps; FAULT PROTECTION;
D O I
10.1016/j.epsr.2022.108051
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
The attractiveness towards the DC Microgrid is mounting rapidly due to self-sustained arrangement that consist of distributed energy resources (DERs) which can also work in an islanded mode at the time of grid failures. DC Microgrid provides significant benefits, such as cost-effectiveness, reliability, safety, simplicity, better energy efficiency etc. but at the protection aspect, DC Microgrid has to face some severe issues. Hence this paper tries to focus on the challenges related to the protection schemes for DC Microgrid along with the loopholes of present schemes. The paper mainly focused on the traditional protection schemes and Special Techniques based Protection Schemes of DC Microgrid. Thus, the current study first reviews different DC Microgrid protection scheme and challenges and then overviews various technical and common issues presented in literature, all carried out in a comprehensive manner. Finally, this paper offers a scenario of the current state of DC Microgrid protection, and discovers research gaps along with the suggestions for future research directions.
引用
收藏
页数:12
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共 73 条
[21]   Assessment of deep recurrent neural network-based strategies for short-term building energy predictions [J].
Fan, Cheng ;
Wang, Jiayuan ;
Gang, Wenjie ;
Li, Shenghan .
APPLIED ENERGY, 2019, 236 :700-710
[22]   Microgrid protection using iterative filtering [J].
Gadanayak, Debadatta Amaresh ;
Mallick, Ranjan Kumar .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 30 (03)
[23]   A combined deep belief network and time-time transform based intelligent protection Scheme for microgrids [J].
Gashteroodkhani, O. A. ;
Majidi, M. ;
Etezadi-Amoli, M. .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 182
[24]   A protection scheme for microgrids using time-time matrix z-score vector [J].
Gashteroodkhani, O. A. ;
Majidi, M. ;
Fadali, M. S. ;
Etezadi-Amoli, M. ;
Maali-Amiri, E. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 110 :400-410
[25]   Secure MPC/ANN-Based False Data Injection Cyber-Attack Detection and Mitigation in DC Microgrids [J].
Habibi, Mohammad Reza ;
Baghaee, Hamid Reza ;
Blaabjerg, Frede ;
Dragicevic, Tomislav .
IEEE SYSTEMS JOURNAL, 2022, 16 (01) :1487-1498
[26]   An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine [J].
Harrou, Fouzi ;
Dairi, Abdelkader ;
Taghezouit, Bilal ;
Sun, Ying .
SOLAR ENERGY, 2019, 179 :48-58
[27]   Design of machine learning models with domain experts for automated sensor selection for energy fault detection [J].
Hu, R. L. ;
Granderson, J. ;
Auslander, D. M. ;
Agogino, A. .
APPLIED ENERGY, 2019, 235 :117-128
[28]   Artificial Intelligence based Station Protection Concept for Medium Voltage Microgrids [J].
Hubana, Tank .
2020 19TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2020,
[29]   Fault Diagnosis in Microgrids with Integration of Solar Photovoltaic Systems: A Review [J].
Jadidi, Saeedreza ;
Badihi, Hamed ;
Zhang, Youmin .
IFAC PAPERSONLINE, 2020, 53 (02) :12091-12096
[30]   System Configuration, Fault Detection, Location, Isolation and Restoration: A Review on LVDC Microgrid Protections [J].
Javed, Waqas ;
Chen, Dong ;
Farrag, Mohamed Emad ;
Xu, Yan .
ENERGIES, 2019, 12 (06)