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An AGC dynamic control method based on DQN algorithm
| Content Provider | Scilit |
|---|---|
| Author | Jianjun, Su Changhui, Ma Shan, Li Xiaoyu, Li Bing, Zhang Wenxue, Liu |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering In order to cope with the incompatibility of traditional AGC control under CPS control performance standard, this paper proposes a hierarchical control framework based on DQN algorithm. It effectively solves the problem of dimensionality disaster of Q learning by using neural network instead of state action pair, and speed up the convergence. Through simulation verification, this method can effectively improve the system CPS control performance index and effectively reduce the system power generation cost. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/729/1/012009/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/729/1/012009 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 729 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Hardware and Architecture |
| Content Type | Text |
| Resource Type | Article |
