State Grid Zhejiang Electric Power Company Limited

Taizhou Power Supply Company

Minyan Xia

Guode Ying

Dongbo Zhang

Jian Yang

Jie Yu

Chenghuai Hong

Daojian Hong

Zihuai Zheng

Yizhi Zhu

Xinjian Chen

Zhouhong Wang

Yilun Zhu

Huiying Gao

Bingren Wang

A method for intelligently adjusting a power flow based on a Q-learning algorithm includes: converting a variable, an action, and a goal in a power grid to a state, an action, and a reward in the algorithm, respectively; selecting an action from an action space, giving an immediate reward based on a result of power flow calculation, and correcting a next state; forwardly observing a next exploration action based on a strategy in the Q-learning algorithm; updating a Q value in a corresponding position in a Q-value table based on the obtained reward; if a final state is not reached, going back to step 2; otherwise, increasing the number of iterations by 1; if the number of iterations does not reach predetermined value K, that is, Episode<K, going back to step 2; otherwise, that is, Episode=K, outputting the Q-value table; and outputting an optimal unit combination.

Method for intelligently adjusting power flow based on Q-learning algorithm

Growing community of inventors

Zhejiang, China

Minyan Xia