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Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network

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Listed:
  • Jing Li

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Jinrui Tang

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Xinze Wang

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Binyu Xiong

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Shenjun Zhan

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Zilong Zhao

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Hui Hou

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Wanying Qi

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Zhenhai Li

    (Department of Electrical Engineering, School of Automation, Wuhan University of Technology, Wuhan 430070, China)

Abstract

Traditional fault indicators based on 3G and 4G cannot send out fault-generated information if the distribution lines are located in the system across remote mountainous or forest areas. Hence, power distribution systems in rural areas only rely on patrol to find faults currently, which wastes time and lacks efficiency. With the development of the Internet of things (IoT) technology, some studies have suggested combining the long-range (LoRa) and the narrowband Internet of Things (NB-IoT) technologies to increase the data transmission distance and reduce the self-built communication system operating cost. In this paper, we propose an optimal configuration scheme for novel intelligent IoT-based fault indicators. The proposed fault indicator combines LoRa and NB-IoT communication technologies with a long communication distance to achieve minimum power consumption and high-efficiency maintenance. Under this given cyber network and physical power distribution network, the whole fault location process depends on the fault indicator placement and the deployment of the communication network. The overall framework and the working principle of the fault indicators based on LoRa and NB-IoT are first illustrated to establish the optimization placement model of the proposed novel IoT-based fault indicator. Secondly, an optimization placement method has been proposed to obtain the optimal number of the acquisition and collection units of the fault indicators, as well as their locations. In the proposed method, the attenuation of the communication network and the power-supply reliability have been specially considered in the fault location process under the investment restrictions of the fault indicators. The effectiveness of the proposed method has been validated by the analysis results in an IEEE Roy Billinton Test System (IEEE-RBTS) typical system.

Suggested Citation

  • Jing Li & Jinrui Tang & Xinze Wang & Binyu Xiong & Shenjun Zhan & Zilong Zhao & Hui Hou & Wanying Qi & Zhenhai Li, 2020. "Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network," Energies, MDPI, vol. 13(18), pages 1-21, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4928-:d:416290
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    References listed on IDEAS

    as
    1. Jen-Hao Teng & Chia-Hung Hsieh & Shang-Wen Luan & Bo-Ren Lan & Yun-Fang Li, 2018. "Systematic Effectiveness Assessment Methodology for Fault Current Indicators Deployed in Distribution Systems," Energies, MDPI, vol. 11(10), pages 1-20, September.
    2. Michal Wydra & Pawel Kubaczynski & Katarzyna Mazur & Bogdan Ksiezopolski, 2019. "Time-Aware Monitoring of Overhead Transmission Line Sag and Temperature with LoRa Communication," Energies, MDPI, vol. 12(3), pages 1-23, February.
    3. Li, Yang & Vilathgamuwa, Mahinda & Choi, San Shing & Xiong, Binyu & Tang, Jinrui & Su, Yixin & Wang, Yu, 2020. "Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability," Applied Energy, Elsevier, vol. 260(C).
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    2. Sun Lim & Seok-Kyoon Kim & Yonghun Kim, 2021. "Active Damping Injection Output Voltage Control with Dynamic Current Cut-Off Frequency for DC/DC Buck Converters," Energies, MDPI, vol. 14(20), pages 1-17, October.

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