Application of Smart Collaborative Wireless Communication Management System in Power Communication System

As the effects of global climate change become more pronounced and the need for sustainable development increases, conventional power systems face unprecedented challenges. As the world's largest carbon emitter, China has proposed a dual carbon target of carbon peaking by 2030 and carbon neutrality by 2060. This not only requires the power system to operate efficiently and safely, but also requires technological innovations for intelligent and automated management. To address this challenge, this study designs and implements an intelligent and cooperative wireless communication management system, which aims to enhance the automation and cooperative management capability of power communication systems. By studying key technologies such as Self-Organizing Network (SON), Quality of Service (QoS) framework and 3GPP (3rd Generation Partnership Project) security framework, and combining with IoT technology, the system achieves efficient network management and optimization, enhancing the operational efficiency and security of the power system. As the network traffic increases, the system response time grows progressively. It ranges from 100 ms at 100 packets/sec to 310 ms at 1000 packets/sec, which shows the limitation of the system processing capacity. The system can significantly improve the response speed and scheduling efficiency of the power system, reduce the operation and maintenance cost, and has important practical value in promoting the modernization and intelligent transformation of the power system.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icdscnc62492.2024.10939770
Primary Topic
Wireless Sensor Networks and IoT
Type
article
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article

Application of Smart Collaborative Wireless Communication Management System in Power Communication System

Dan Hu, Zhenwei Li, Jun Lü, Tao Su et al.
Wireless Sensor Networks and IoT
article

Application of Smart Collaborative Wireless Communication Management System in Power Communication System

Dan Hu, Zhenwei Li, Jun Lü, Tao Su, Pengcheng Zhang, Wei Wang
article en

Abstract

As the effects of global climate change become more pronounced and the need for sustainable development increases, conventional power systems face unprecedented challenges. As the world's largest carbon emitter, China has proposed a dual carbon target of carbon peaking by 2030 and carbon neutrality by 2060. This not only requires the power system to operate efficiently and safely, but also requires technological innovations for intelligent and automated management. To address this challenge, this study designs and implements an intelligent and cooperative wireless communication management system, which aims to enhance the automation and cooperative management capability of power communication systems. By studying key technologies such as Self-Organizing Network (SON), Quality of Service (QoS) framework and 3GPP (3rd Generation Partnership Project) security framework, and combining with IoT technology, the system achieves efficient network management and optimization, enhancing the operational efficiency and security of the power system. As the network traffic increases, the system response time grows progressively. It ranges from 100 ms at 100 packets/sec to 310 ms at 1000 packets/sec, which shows the limitation of the system processing capacity. The system can significantly improve the response speed and scheduling efficiency of the power system, reduce the operation and maintenance cost, and has important practical value in promoting the modernization and intelligent transformation of the power system.

Beijing University of Posts and Telecommunications (CN), North China Electric Power University (CN), Nankai University (CN), Shanghai Institute of Microsystem and Information Technology (CN)
Openalex Percentile: Top 63%
Wireless Sensor Networks and IoT
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Application of Smart Collaborative Wireless Communication Management System in Power Communication System — Dan Hu, Zhenwei Li, et al. · (2024) | TGRS Research Map | TGRS