TY  - JOUR
AU  - Wu, Huayi
AU  - Xu, Zhao
AU  - Ruan, Jiaqi
AU  - Sun, Xianzhuo
PY  - 2024
TI  - PFL-DSSE: A Personalized Federated Learning Approach for Distribution System State Estimation
JO  - CSEE Journal of Power and Energy Systems
SN  - 2096-0042
SP  - 2265
EP  - 2270
VL  - 10
IS  - 5
AB  - A centralized framework-based data-driven framework for active distribution system state estimation (DSSE) has been widely leveraged. However, it is challenged by potential data privacy breaches due to the aggregation of raw measurement data in a data center. A personalized federated learning-based DSSE method (PFL-DSSE) is proposed in a decentralized training framework for DSSE. Experimental validation confirms that PFL-DSSE can effectively and efficiently maintain data confidentiality and enhance estimation accuracy.
UR  - https://doi.org/10.17775/CSEEJPES.2023.08830
DO  - 10.17775/CSEEJPES.2023.08830