| Title |
Automatic Retrieval Algorithm for Bad Data of Power Equipment in Smart Distribution Network in a Smart City |
| ID_Doc |
42296 |
| Authors |
Nie, D; Song, YL |
| Title |
Automatic Retrieval Algorithm for Bad Data of Power Equipment in Smart Distribution Network in a Smart City |
| Year |
2023 |
| Published |
Journal Of Testing And Evaluation, 51, 3 |
| DOI |
10.1520/JTE2022006 |
| Abstract |
As the current distribution network power equipment cannot realize the visualization of spatial data, the retrieval accuracy of bad data decreases. Therefore, an automatic retrieval algorithm for bad data of intelligent distribution network power equipment is proposed. The spatial data of smart distribution network is collected and geographic information science (GIS) technology is used to realize data visualization. On this basis, real-time operating data is collected in the distribution network, and according to the data collection results and the operation mechanism of the distribution network, it can be identified whether there are bad data in the distribution network and retrieved. Through the display data in the GIS visualization interface, the distance measurement method is used to determine the specific location of the bad data in the intelli-gent distribution network. The experimental results show that the research method's bad data retrieval error and bad data position coordinate calculation error are small, the retrieval ac-curacy is high, the time-consuming is short, and the practical application effect is good. |
| Author Keywords |
intelligent distribution network; power equipment; bad data; retrieval algorithm; data visualization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000972215200001 |
| WoS Category |
Materials Science, Characterization & Testing |
| Research Area |
Materials Science |
| PDF |
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