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

Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network
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基于物联网的故障指示器的优化放置以缩短综合信息物理中压配电网络的停电时间

DOI:
10.3390/en13184928
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发表时间:
2020-09
期刊:
影响因子:
3.2
通讯作者:
Zhenhai Li
Zhenhai Li
中科院分区:
工程技术4区
文献类型:
--
作者:
Jing Li;Jinrui Tang;XinzeWang;Binyu Xiong;Shenjun Zhan;Zilong Zhao;Hui Hou;Wanying Qi;Zhenhai Li

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传统的基于3G和4G的故障指示器无法发送故障产生的信息,如果配电线路位于系统中的偏远山区或森林地区。因此,目前农村配电系统只能依靠巡检来查找故障,费时费力。随着物联网(IoT)技术的发展,有研究建议将远程(LoRa)和窄带物联网(NB-IoT)技术结合起来,以增加数据传输距离,降低自建通信系统的运营成本。在本文中,我们提出了一种新的智能物联网故障指示器的最佳配置方案。该故障指示器结合了LoRa和NB-IoT通信技术,具有较长的通信距离,可实现最低功耗和高效维护。在给定的计算机网络和物理配电网络下,整个故障定位过程取决于故障指示器的放置和通信网络的部署。首先阐述了基于LoRa和NB-IoT的故障指示器的总体框架和工作原理,建立了基于物联网的新型故障指示器的优化配置模型。其次,提出了一种优化布置方法,以获得故障指示器的采集和收集单元的最佳数量以及它们的位置。该方法在故障指标投资限制下,在故障定位过程中特别考虑了通信网络的衰减和供电可靠性。IEEE Roy Billinton测试系统(IEEE-RBTS)典型系统的分析结果验证了该方法的有效性。
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 eciency. 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.
DOI: 10.1049/iet-cps.2019.0028
发表时间: 2019-09
期刊: IET Cyper-Phys. Syst.: Theory & Appl.
影响因子: --
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