State Estimation for Active Distribution Networks Considering Bad Data in Measurements and Topology Parameters

State Estimation for Active Distribution Networks Considering Bad Data in Measurements and Topology Parameters

SE is critical in ADNs integrating renewable DGs. Traditional SE methods face the challenges of increasing SE errors and decreased robustness due to the adverse impact of bad data in measurements and topology parameters. To address these issues, this paper proposes a robust SE method that considers...

Full description

Saved in:
Bibliographic Details
Main Authors: Yizhe Chen, Yifan Gao, Kai Gan, Ming Li, Chengzhi Wei, Xiaoyi Guo, Ruifeng Zhao, Jiangang Lu, Liang Che
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
distribution network
state estimation
bad data
Online Access:https://www.mdpi.com/1996-1073/18/9/2222
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1996-1073/18/9/2222

Similar Items