Paper
10 November 2022 Identification method of the feeder-transformer connection relationship in distribution network based on fault outage information
Li Chen, Dongyue Lin, Yuanchun Tang, Zhaozheng Zhou, Wei Zhang
Author Affiliations +
Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123313U (2022) https://doi.org/10.1117/12.2652303
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China
Abstract
In order to solve the problem of identification and verification of topological relationship between feeder and distribution transformer in distribution network, an identification method of the feeder-transformer connection relationship in distribution network based on fault outage information inversion is proposed. Firstly, the identification model of feeder-transformer connection relationship is established through the single fault outage information set. Then, through the identification model of feeder-transformer connection relationship, the feeder fault standard outage information set and feeder fault real-time outage information set are established. Finally, the distribution transformer fault connection information set and distribution transformer missing connection information set are determined by the difference set between the feeder fault standard outage information set and feeder fault real-time outage information set. The example analysis shows that this method can identify the feeder-transformer relationship of distribution network based on the topology information and real-time fault alarm information of DMS. The method is simple and reliable, can better meet the actual needs of the site, and has good promotion value.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Chen, Dongyue Lin, Yuanchun Tang, Zhaozheng Zhou, and Wei Zhang "Identification method of the feeder-transformer connection relationship in distribution network based on fault outage information", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123313U (10 November 2022); https://doi.org/10.1117/12.2652303
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KEYWORDS
Transformers

Switches

Failure analysis

Power supplies

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