Regional-privacy-preserving operation of networked microgrids: edge-cloud cooperative learning with differentiated policies

Regional-privacy-preserving operation of networked microgrids: edge-cloud cooperative learning with differentiated policies

Privacy preservation and coordination of networked microgrids (NMGs) are conventionally contradictory objectives. To address this, this paper proposes a regional-privacy-preserving operation method for NMGs that collaboratively learns differentiated policy (DP) of each microgrid (MG) at the edge by...

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Bibliographic Details
Main Authors: Xia, Qinqin, Wang, Yu, Zou, Yao, Yan, Ziming, Zhou, Niancheng, Chi, Yuan, Wang, Qianggang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Federated reinforcement learning
Energy data privacy
Online Access:https://hdl.handle.net/10356/180302

Internet

https://hdl.handle.net/10356/180302

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