Genetic based reinforcement learning load control for smart grids
文献类型：会议论文
| 作者 | Li X(李鑫); Yu, Dan; Zang CZ(臧传治)
|
| 出版日期 | 2013 |
| 会议名称 | 3rd International Conference on Energy, Environment and Sustainable Development, EESD 2013 |
| 会议日期 | November 12-13, 2013 |
| 会议地点 | Shanghai, China |
| 关键词 | Electric frequency control Press load control Reinforcement learning Sustainable development |
| 页码 | 2423-2426 |
| 中文摘要 | As the improvement of smart grids, the customer participation has reinvigorated interest in demand-side features such as load control for domestic users. A genetic based reinforcement learning (RL) load controller is proposed. The genetic is used to adjust the parameters of the controller. The RL algorithm, which is independent of the mathematic model, shows the particular superiority in load control. By means of learning procedures, the proposed controller can learn to take the best actions to regulate the energy usage for equipments with the features of high comfortable for energy usage and low electric charge meanwhile. Simulation results show that the proposed load controller can promote the performance energy usage in smart grids. |
| 收录类别 | EI |
| 产权排序 | 2 |
| 会议录 | Advanced Materials Research
 |
| 会议录出版者 | Trans Tech Publications |
| 会议录出版地 | Zurich-Durnten, Switzerland |
| 语种 | 英语 |
| ISSN号 | 1022-6680 |
| ISBN号 | 978-3-03785-972-8 |
| 源URL | [http://ir.sia.cn/handle/173321/14579]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Li X,Yu, Dan,Zang CZ. Genetic based reinforcement learning load control for smart grids[C]. 见:3rd International Conference on Energy, Environment and Sustainable Development, EESD 2013. Shanghai, China. November 12-13, 2013. |
入库方式： OAI收割
来源：沈阳自动化研究所
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