Research and Application of Intelligent Sensor in Distribution Network Feeder Automation Technology
Abstract: With the continuous iterative evolution of smart grid technology, it is increasingly important to strengthen the feeder automation technology of distribution network. In response to the complex distribution network architecture and diversified user needs, traditional technology has exposed many limitations, and intelligent sensors provide new opportunities for the development of distribution network feeder automation technology. This paper discusses the application of intelligent sensors in distribution network feeder automation, introduces the types of various intelligent sensors in detail, sorts out their technical characteristics, and systematically explains the working principle and core functions of feeder automation. Intelligent sensors play an important role in data acquisition and transmission, fault diagnosis and location, intelligent control and optimization. Through the actual case analysis, the remarkable application effect of intelligent sensors can be fully demonstrated, such as significantly reducing the fault processing time, improving power quality, reducing operation and maintenance costs, etc. At the same time, the paper expounds the technical challenges faced by intelligent sensor applications, such as improving data accuracy and reliability, ensuring data security and privacy protection, and ensuring the stability of communication networks. In view of these problems, this paper puts forward corresponding countermeasures, and highlights the importance of technological innovation, as well as the key role of standards and policies. Finally, the research results of this paper are summarized, and the broad application prospects of intelligent sensors in the field of intelligent construction of distribution network and energy conversion are prospected.
Authors
- Weidong Jiang (ORCID: https://orcid.org/0009-0001-2564-238X)
- Dingmou Hao (ORCID: https://orcid.org/0009-0009-3949-4988)
Institutions
- China University of Mining and Technology (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1145/3731867.3731878
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00