| 发明名称 |
PV Ramp Rate Control Using Reinforcement Learning Technique Through Integration of Battery Storage System |
| 摘要 |
Systems and methods are disclosed for storing photovoltaic (PV) generation by applying reinforcement learning (RL)-based control to battery storages for PV ramp rate control; and exchanging energy dynamically to limit a ramp rate of the PV power output and maintaining a battery state of charge level at a predefined level to minimize required battery size and extend the battery life cycles. |
| 申请公布号 |
US2017117744(A1) |
申请公布日期 |
2017.04.27 |
| 申请号 |
US201615222604 |
申请日期 |
2016.07.28 |
| 申请人 |
NEC Laboratories America, Inc. |
发明人 |
Ye Yanzhu;Sharma Ratnesh;Guo Feng |
| 分类号 |
H02J7/35;H02J7/00;H02S40/38 |
主分类号 |
H02J7/35 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A process for storing photovoltaic (PV) generation, comprising:
applying reinforcement learning (RL)-based control to battery storages for PV ramp rate control; and exchanging energy dynamically to limit a ramp rate of the PV power output and maintaining a battery state of charge level at a predefined level to minimize required battery size and extend the battery life cycles. |
| 地址 |
Princeton NJ US |
