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

• المؤلفون الرئيسيون: Xia, Qinqin, Wang, Yu, Zou, Yao, Yan, Ziming, Zhou, Niancheng, Chi, Yuan, Wang, Qianggang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Federated reinforcement learning; Energy data privacy
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/180302

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...