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无线传感器网络在泛在电力物联网中的应用分析与展望。

Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things.

机构信息

School of Intelligent Manufacturing and Electronic Engineering, Wenzhou University of Technology, Wenzhou 325035, China.

Intelligent Information Systems Institute, Wenzhou University, Wenzhou 325035, China.

出版信息

Comput Intell Neurosci. 2022 Jun 15;2022:9004942. doi: 10.1155/2022/9004942. eCollection 2022.

DOI:10.1155/2022/9004942
PMID:35755756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9217569/
Abstract

With the rapid development of the economy and society, the low efficiency and high loss of the traditional power grid can no longer meet the growing social demand, and the power grid market is facing a reform. Smart grid, as a next-generation power system, it can effectively improve the performance of traditional power grids. The ubiquitous power Internet of Things (UPIOT) replaces the traditional grids with efficient, safe, reliable, and flexible new grids, improves the utilization efficiency of the grid, reduces the loss of the power grid in the transmission process, and can meet the needs of different types of markets and users. As an advanced information acquisition and processing technology, wireless sensor networks have been widely used in medical, industrial, agricultural, commercial, and public management fields. It is an important means to promote future economic development and build a harmonious society. In the power system, wireless sensor network technology can be widely used in many fields such as line fault location, real-time monitoring, smart meter reading, and relay protection. In this paper, the basic concepts and overall architecture of ubiquitous power Internet of Things are summarized. Then, we summarize the research status of the wireless sensor network in smart grid, including power equipment, line monitoring, smart grid wireless automatic meter reading, distribution network relay protection, power assets life-cycle management, power grid fault location, and power grid fault diagnosis. In view of the technical characteristics of wireless sensor networks, combined with the production links of power systems, the application framework of wireless sensor network technology in the power systems is constructed. The application of wireless sensor networks is prospected from the aspects of network development of relay protection, application research of smart substation, application research of power grid catastrophe, security protection of power system, and deep-seated ubiquitous power Internet of Things.

摘要

随着经济社会的快速发展,传统电网效率低、损耗大,已不能满足日益增长的社会需求,电网市场面临改革。智能电网作为下一代电网,能有效提升传统电网性能。泛在电力物联网(UPIOT)用高效、安全、可靠、灵活的新型电网取代传统电网,提高电网的利用效率,降低电网在传输过程中的损耗,能满足不同类型市场和用户的需求。作为先进的信息采集和处理技术,无线传感器网络已广泛应用于医疗、工业、农业、商业和公共管理等领域,是推动未来经济发展、构建和谐社会的重要手段。在电力系统中,无线传感器网络技术可广泛应用于线路故障定位、实时监测、智能抄表、继电保护等诸多领域。本文对泛在电力物联网的基本概念和总体架构进行了总结。然后,对无线传感器网络在智能电网中的研究现状进行了总结,包括电力设备、线路监测、智能电网无线自动抄表、配电网继电保护、电力资产全生命周期管理、电网故障定位和电网故障诊断。针对无线传感器网络的技术特点,结合电力系统的生产环节,构建了无线传感器网络技术在电力系统中的应用框架。从继电保护网络发展、智能变电站应用研究、电网灾害应用研究、电力系统安全防护和深层次泛在电力物联网五个方面对无线传感器网络的应用进行了展望。

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4
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Biomimetics (Basel). 2023 Jun 3;8(2):235. doi: 10.3390/biomimetics8020235.
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6
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