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<p>In order to better realize the intelligent perception of fault location information of power distribution communication access networks in different scenarios, this paper carries out the construction of a power distribution communication network system through industrial Ethernet technology combined with EPON technology under fiber optic communication technology. Based on GIS technology and combined with OTDR technology, we constructed a fault location system for the fiber optic cable of the power distribution communication network so as to realize the acquisition of fault location information. From the multi-source state information, the joint Kalman filtering model is used to excavate the characteristics of the grid operation state, and then the fusion of multi-source heterogeneous data of power distribution communication is realized. To verify the effectiveness of the distribution communication network system constructed in this paper for locating fault information and intelligently collecting power consumption, system tests were conducted. The results show that the relative error of the node voltage estimation of the joint Kalman filter algorithm is below 0.015%, which improves the accuracy of fault identification in the distribution network. The system constructed in this paper for information transmission connectivity testing PON port light-emitting power range of 2~6dm, receiving optical power greater than -25dm, each PON port without power overload. This shows that the distribution automation communication network constructed in this paper meets the information collection requirements, and the construction of an intelligent distribution communication network can meet the requirements of distribution automation and can also accurately collect the fault location information of the distribution network.</p>
</abstract>

In order to better realize the intelligent perception of fault location information of power distribution communication access networks in different scenarios, this paper carries out the construction of a power distribution communication network system through industrial Ethernet technology combined with EPON technology under fiber optic communication technology. Based on GIS technology and combined with OTDR technology, we constructed a fault location system for the fiber optic cable of the power distribution communication network so as to realize the acquisition of fault location information. From the multi-source state information, the joint Kalman filtering model is used to excavate the characteristics of the grid operation state, and then the fusion of multi-source heterogeneous data of power distribution communication is realized. To verify the effectiveness of the distribution communication network system constructed in this paper for locating fault information and intelligently collecting power consumption, system tests were conducted. The results show that the relative error of the node voltage estimation of the joint Kalman filter algorithm is below 0.015%, which improves the accuracy of fault identification in the distribution network. The system constructed in this paper for information transmission connectivity testing PON port light-emitting power range of 2~6dm, receiving optical power greater than -25dm, each PON port without power overload. This shows that the distribution automation communication network constructed in this paper meets the information collection requirements, and the construction of an intelligent distribution communication network can meet the requirements of distribution automation and can also accurately collect the fault location information of the distribution network.

Applied Research on Intelligent Collection System of Positioning Information for Multi-source Heterogeneous Distribution Communication

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to better realize the intelligent perception of fault location information of power distribution communication access networks in different scenarios,...

Applied Research on Intelligent Collection System of Positioning Information for Multi-source Heterogeneous Distribution Communication

Publié en ligne: 29 nov. 2023

Pages: -

Reçu: 21 déc. 2022

Accepté: 09 juin 2023

DOI: https://doi.org/10.2478/amns.2023.2.01277

Mots clés
Multi-source heterogeneity, Distribution communication, EPON technology, Kalman filter, GIS technology

© 2023 Chengpeng Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Applied Research on Intelligent Collection System of Positioning Information for Multi-source Heterogeneous Distribution Communication

Publié en ligne: 29 nov. 2023

Pages: -

Reçu: 21 déc. 2022

Accepté: 09 juin 2023

DOI: https://doi.org/10.2478/amns.2023.2.01277

Mots clésMulti-source heterogeneity, Distribution communication, EPON technology, Kalman filter, GIS technology

© 2023 Chengpeng Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Multi-source heterogeneity, Distribution communication, EPON technology, Kalman filter, GIS technology