| contributor author | Tao Yu | |
| contributor author | Lei Xi | |
| contributor author | Bo Yang | |
| contributor author | Zhao Xu | |
| contributor author | Lin Jiang | |
| date accessioned | 2017-05-08T22:24:43Z | |
| date available | 2017-05-08T22:24:43Z | |
| date copyright | March 2016 | |
| date issued | 2016 | |
| identifier other | 44253327.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/80095 | |
| description abstract | This paper proposes a multiagent (MA) smart generation control (SGC) scheme for the coordination of automatic generation control (AGC) in power grids with system uncertainties. Under the control performance standards, SGC will undergo a non-Markov random process, of which the optimal solution can be resolved online by the reinforcement learning. Therefore, an MA decentralized correlated equilibrium Q( | |
| publisher | American Society of Civil Engineers | |
| title | Multiagent Stochastic Dynamic Game for Smart Generation Control | |
| type | Journal Paper | |
| journal volume | 142 | |
| journal issue | 1 | |
| journal title | Journal of Energy Engineering | |
| identifier doi | 10.1061/(ASCE)EY.1943-7897.0000275 | |
| tree | Journal of Energy Engineering:;2016:;Volume ( 142 ):;issue: 001 | |
| contenttype | Fulltext | |
