A Bus Privacy Preserving Decentralized Power Flow Algorithm Considering Neighbor Partial Derivative Information
To ensure the privacy of power system users while maximizing the efficiency of decentralized computational resources, this paper presents a novel decentralized power flow algorithm. Its core focus lies in preserving bus privacy through the integration of neighboring partial derivative information. I...
Main Authors: | Si-Kai Tan, Jian-Chun Peng, Ming-Huan Wu, Hui Jiang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10422786/ |
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