Privacy-preserving smart grid fault diagnosis method based on federated conditional model strategy

Aidong Xu; Jinran Du; Tao Dai; Peiming Xu; Zhuowei Wang; Chong Chen; Dong Mao

doi:10.1117/12.3053138

3 January 2025 Privacy-preserving smart grid fault diagnosis method based on federated conditional model strategy

Aidong Xu, Jinran Du, Tao Dai, Peiming Xu, Zhuowei Wang, Chong Chen, Dong Mao

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 1344212 (2025) https://doi.org/10.1117/12.3053138
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

In this study, a method based on Differential Privacy Federated Learning (DPFL) is adopted, which is suitable for safe and efficient processing of power grid data. Combined with a new algorithm called DP-FedSAM, which combines the sharpness-aware minimization (SAM) optimizer and differential privacy technology, it aims to solve the problems of privacy protection and model performance degradation in power grid data analysis. DP-FedSAM avoids the need for centralized data storage and processing by performing model training locally on each power grid operating node, thereby reducing the risk of data leakage. Each node uses a SAM optimizer to locally generate a smoother, more generalizable model and adds noise via a differential privacy mechanism to ensure secure sharing of updates. This method pays special attention to processing the non-independent and identically distributed (Non-IID) characteristics of power grid data, by testing the robustness and effectiveness of the algorithm in different regions and conditions. Preliminary experimental results show that DP-FedSAM performs well on a variety of power grid data sets, effectively improving the model's generalization ability and prediction accuracy, while strictly complying with privacy protection standards.

Citation Download Citation

Aidong Xu, Jinran Du, Tao Dai, Peiming Xu, Zhuowei Wang, Chong Chen, and Dong Mao "Privacy-preserving smart grid fault diagnosis method based on federated conditional model strategy", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 1344212 (3 January 2025); https://doi.org/10.1117/12.3053138

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