基于深度卷积神经网络和合作博弈的多微网实时能量管理策略
|
陈灵, 陈郑平, 李军良, 米为民, 刘铭洋
|
Real-time Energy Management Strategy for Micro-grid Clusters Based on Deep Convolutional Neural Network and Cooperative Game
|
CHEN Ling, CHEN Zhengping, LI Junliang, MI Weimin, LIU Mingyang
|
|
表2 DG的日平均运行成本分析 美元
|
|
|
成本 | 所提方法 | 贪婪 | MPC | ADP | 主网 | 166.85 | 210.03 | 205.31 | 176.16 | tg1 | 0.069 9 | 0.743 0 | 1.374 6 | 1.577 7 | tg2 | 0.074 6 | 0.641 1 | 1.173 2 | 1.342 7 | tg3 | 0.109 2 | 0.670 4 | 1.260 6 | 1.344 8 | ws | 0.098 96 | 0.676 6 | 1.229 5 | 1.368 7 | ss | 0.101 2 | 0.660 4 | 1.106 1 | 1.244 8 | ssh | 0.109 2 | 0.604 0 | 1.206 1 | 1.344 8 | AS | 1 505.3 | 2 247 | 2 745.1 | 2 163.8 |
|
|
|