Efficient power outage perception and recovery processing solution in low voltage power grid
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Paper number
903
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Sun, Ying, Guangzhou Power Supply Company Co. Ltd- China Southern Power Grid, China
Su, Zhipeng, Guangzhou Power Supply Company Co. Ltd China Southern Power Grid, China
Zhao, Ying, Guangzhou Power Supply Company Co. Ltd China Southern Power Grid, China
Zhou, Chun, Guangzhou Power Supply Company Co. Ltd China Southern Power Grid, China
Chen, Liming, China Southern Power Grid Electric Power Research Institute, China
Su, Zhipeng, Guangzhou Power Supply Company Co. Ltd China Southern Power Grid, China
Zhao, Ying, Guangzhou Power Supply Company Co. Ltd China Southern Power Grid, China
Zhou, Chun, Guangzhou Power Supply Company Co. Ltd China Southern Power Grid, China
Chen, Liming, China Southern Power Grid Electric Power Research Institute, China
Abstract
Due to the complex architecture of residential power grid in China Southern Power Grid (CSG), the low voltage grid data including the relationship among transformers, power lines and residential users are complicated, which results in the time-consuming fault location and unprecise power outage range perception. This paper focuses on proposing a systematic data collection, integration and processing solution to achieve efficient power outage perception and recovery processing, thus improving the satisfactory degree of residential users. Specific methods to modify current monitoring and control device are proposed, based on which systematic data collection mechanisms and functions are developed to achieve integrated application and demonstration. Practical implementations are also conducted, which verifies the effectiveness of the proposed solution.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/192
http://dx.doi.org/10.34890/376
http://dx.doi.org/10.34890/376
ISSN
2032-9644
ISBN
978-2-9602415-0-1