A Bus Privacy Preserving Decentralized Power Flow Algorithm Considering Neighbor Partial Derivative Information
Si-Kai Tan,
Jian-Chun Peng,
Ming-Huan Wu
et al.
Abstract: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. Initially, the algorithm utilizes partial derivative data from adjacent buses to formulate a bus-level voltage iterative function, rooted in the bus power balance equation. Each bus in the power network is treated as… Show more
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