Fastest adaptive estimation algorithms for topological structure errors in smart grid networks

Compared with traditional wired networks, wireless sensor networks(WSN) have the characteristics of low cost and rapid deployment, and also guarantee the same level of fault tolerance as wired networks. The WSN can also monitor the operating status of the power grid in real time, collect physical in...

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Bibliographic Details
Published inComputer communications Vol. 160; pp. 197 - 203
Main Author Xu, Huihong
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.07.2020
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Online AccessGet full text
ISSN0140-3664
1873-703X
DOI10.1016/j.comcom.2020.05.042

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Summary:Compared with traditional wired networks, wireless sensor networks(WSN) have the characteristics of low cost and rapid deployment, and also guarantee the same level of fault tolerance as wired networks. The WSN can also monitor the operating status of the power grid in real time, collect physical information such as related parameters, and provide more comprehensive and complete power grid operation data as a reference basis for smart grid operation and related management personnel, and complete the diagnosis, monitoring and power statistics of smart grid equipment The rapid construction of the data communication network has become a key technology to effectively solve the problems of difficult optimization management and high cost and economic benefits in the smart grid. This paper discusses the application of WSNs in smart grids from two aspects. Firstly, construct a WSN topology that complies with the smart grid architecture, and establish a real-time routing mechanism that meets the requirements of smart distribution network communication reliability; secondly, propose a fastest adaptive algorithm for the fault of the WSN topology in the smart grid . The proposed adaptive routing mechanism has certain advantages in node energy consumption, which reduces energy consumption by nearly 4% compared to the directional diffusion method and the LEACH algorithm. Therefore, the algorithm is more suitable for the adaptation of WSN topology, and the method can Improve the life cycle of sensor nodes and networks.
ISSN:0140-3664
1873-703X
DOI:10.1016/j.comcom.2020.05.042