A Fault Recovery Method for Distribution Networks With Distributed Power Sources Based on 5G Smart Terminal

被引:1
作者
Guo, Qingrui [1 ]
Tuxun, Alimire Maimaiti [2 ]
机构
[1] State Grid Xinjiang Elect Power Res Inst, Urumqi, Peoples R China
[2] State Grid Kashi Elect Power Supply Co, Taiyuan, Peoples R China
关键词
Distribution Network; Fault Recovery; 5G Smart Terminal; Distributed Power Supply; Improved Sparrow Search Algorithm; Distributed Control Model;
D O I
10.4018/IJSIR.349910
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Firstly, a smart terminal is designed based on 5G communication technology, which is embedded with various protection measurement devices to form a 5G smart terminal. A distributed control model for the distribution network is constructed based on 5G smart terminals, and an objective function is designed taking into account factors such as restoring important loads, surplus power supply in the distribution network, network losses, and the number of switch actions. Finally, the Sparrow Search Algorithm (SSA) is improved using elite reverse learning strategy and dynamic sine perturbation strategy, and it is used to solve the objective function. Based on the IEEE33 distribution network node system, experimental tests are conducted, and the results show that the average delay of 5G smart terminals is about 30ms. Taking 14:00 as an example, the proposed method achieves network loss, number of switch actions, recovered important load power, and power supply surplus of 46.39 kW, 3 times, 185.65 kW, 240.28 kW, respectively. The fault recovery effect of the distribution network is ideal.
引用
收藏
页数:17
相关论文
共 35 条
[1]   A security-constrained robust optimization for energy management of active distribution networks with presence of energy storage and demand flexibility [J].
Ahrari, Mahmoud ;
Shirini, Kimia ;
Gharehveran, Sina Samadi ;
Ahsaee, Mahdi Ghazizadeh ;
Haidari, Saeid ;
Anvari, Parviz .
JOURNAL OF ENERGY STORAGE, 2024, 84
[2]   Determination of the Optimal Level of Reactive Power Compensation That Minimizes the Costs of Losses in Distribution Networks [J].
Andruszkiewicz, Jerzy ;
Lorenc, Jozef ;
Weychan, Agnieszka .
ENERGIES, 2024, 17 (01)
[3]   Sec-edge: Trusted blockchain system for enabling the identification and authentication of edge based 5G networks [J].
Babu, Erukala Suresh ;
Barthwal, Amogh ;
Kaluri, Rajesh .
COMPUTER COMMUNICATIONS, 2023, 199 :10-29
[4]   Optimal reconfiguration and DG integration in distribution networks considering switching actions costs using tabu search algorithm [J].
Bagheri, Ali ;
Bagheri, Mohammad ;
Lorestani, Alireza .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (07) :7837-7856
[5]   An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm [J].
Begum, M. Baritha ;
Deepa, N. ;
Uddin, Mueen ;
Kaluri, Rajesh ;
Abdelhaq, Maha ;
Alsaqour, Raed .
HELIYON, 2023, 9 (06)
[6]   Adaptive contrastive learning based network latency prediction in 5G URLLC scenarios [J].
Cai, Yinan ;
Li, Wei ;
Meng, Xiangxu ;
Zheng, Wenqi ;
Chen, Chuhao ;
Liang, Zhuoxuan .
COMPUTER NETWORKS, 2024, 240
[7]   A novel fault recovery method of active distribution networks oriented to improving resilience [J].
Chen, Lei ;
Jiang, Yuqi ;
Deng, Xinyi ;
Chen, Hongkun ;
Zheng, Shencong .
ENERGY REPORTS, 2022, 8 :456-466
[8]   Designing Collaborative Edge Computing for Electricity Heterogeneous Data Based on Social IoT Systems [J].
Cheng, Yong ;
Du, Jie ;
Yang, Yonggang ;
Ma, Zhibao ;
Li, Ning ;
Zhao, Jia ;
Wu, Di .
INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES, 2022, 13 (07)
[9]   An Effective Classification of DDoS Attacks in a Distributed Network by Adopting Hierarchical Machine Learning and Hyperparameters Optimization Techniques [J].
Dasari, Sandeep ;
Kaluri, Rajesh .
IEEE ACCESS, 2024, 12 :10834-10845
[10]   Research on denoising of second harmonic signal in photoacoustic spectroscopy based on SSA-VMD-WTD method [J].
Du, Xiaomeng ;
Zhang, Qinduan ;
Wei, Yubin ;
Zhang, Tingting ;
Zhang, Yu ;
Li, Yanfang .
INFRARED PHYSICS & TECHNOLOGY, 2024, 138