Real-Time Evaluation of the Dynamic Loading Capability of Indoor Distribution Transformers

被引:20
|
作者
Djamali, Mohammad [1 ]
Tenbohlen, Stefan [1 ]
Junge, Eric [2 ]
Konermann, Martin [2 ]
机构
[1] Univ Stuttgart, Inst Power Transmiss & High Voltage Technol, D-70569 Stuttgart, Germany
[2] Netze BW GmbH, D-70567 Stuttgart, Germany
关键词
Loading capability; online monitoring; thermal modeling; top-oil temperature; THERMAL-MODEL; FUNDAMENTAL APPROACH; UNDERGROUND VAULTS; PART II; CIRCUIT; SYSTEM;
D O I
10.1109/TPWRD.2017.2728820
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
With the integration of the renewable energy-based distributed small power plants, whose generated energies are uncertain, in addition to the increasing usage of the charging stations for electric vehicles, the determination of the dynamic loading of distribution transformers appears to be crucial. Therefore, the issues of the model-based online monitoring of distribution transformers may achieve acceptance, if a cost-benefit compromise is reached. In this paper, a new thermal model is proposed to calculate the top-oil temperature of indoor distribution transformers using calculated tank temperature which accounts for convection, radiation, conduction, and ventilation heat transfer phenomena. The model is validated using measurements during the in-service operation of two indoor distribution transformers. Moreover, a method for calculating the loading capability of indoor distribution transformers without sacrificing the transformer's life is presented which can be easily adjusted for other distribution transformers. Furthermore, the results of the hardware implementing the proposed model and method for a model-based online assessment of the loading capability during the in-service operation of an indoor distribution transformer are presented.
引用
收藏
页码:1134 / 1142
页数:9
相关论文
共 50 条
  • [31] Current transformers and coupling-capacitor voltage transformers in real-time simulations
    Marti, JR
    Linares, LR
    Dommel, HW
    IEEE TRANSACTIONS ON POWER DELIVERY, 1997, 12 (01) : 164 - 168
  • [32] Laboratory evaluation of real-time dynamic traffic assignment systems
    Miaou, Shaw-Pin
    Summers, Mike S.
    Lieu, Henry C.
    Computer-Aided Civil and Infrastructure Engineering, 1999, 14 (04): : 281 - 298
  • [33] Improvement on real-time capability of heartbeat mechanism
    Wang Zhanjie
    Chen Wen
    Wang Hailong
    PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2, 2010, 108-111 : 938 - 942
  • [34] Real-Time Maintenance Prioritization with Learning Capability
    Yin, Meng-Lai
    Chan, Andrew J.
    2017 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2017,
  • [35] Real-time learning capability of neural networks
    Huang, Guang-Bin
    Zhu, Qin-Yu
    Siew, Chee-Kheong
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (04): : 863 - 878
  • [36] A technology of enhancing the real-time capability of the Linux
    Tu, Bibo
    Li, Shengli
    Huazhong Ligong Daxue Xuebao/Journal Huazhong (Central China) University of Science and Technology, 2001, 29 (12): : 90 - 91
  • [37] Enhancing the real-time capability of the Linux kernel
    Wang, YC
    Lin, KJ
    FIFTH INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS, PROCEEDINGS, 1998, : 11 - 20
  • [38] Real-time equipment health evaluation and dynamic preventive maintenance
    Chen, A
    Guo, RS
    Wu, GS
    ISSM 2000: NINTH INTERNATIONAL SYMPOSIUM ON SEMICONDUCTOR MANUFACTURING, PROCEEDINGS, 2000, : 375 - 378
  • [40] Real-time Style Transfer with Efficient Vision Transformers
    Benmeziane, Hadjer
    Ouarnoughi, Hamza
    El Maghraoui, Kaoutar
    Niar, Smail
    PROCEEDINGS OF THE 5TH INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS'22), 2022, : 31 - 36