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

Jing Li, Jinrui Tang, Xinze Wang, Binyu Xiong, Shenjun Zhan, Zilong Zhao, Hui Hou, Wanying Qi and Zhenhai Li
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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

Energies, 2020, vol. 13, issue 18, 1-21

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.

Keywords: fault indicator; cyber-physical network; optimal placement; LoRa; NB-IoT (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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