Research and Application of AGC Control Method for Energy Storage Power Stations Using Data of Regulation Cloud

Jinbo Wu, Yonggang Liu, Xingrong Song, Shangfeng Xiong, Sijia Hu, Zhenwen Li

Abstract: With the development of new power systems, a large number of grid-connected new energy and energy storage power stations with voltage levels of 110kV and below cannot match the traditional AGC control strategy with the grid structure. This brings new challenges to the existing grid AGC control. In view of this situation, this paper proposes the principle of local balance of active power control. Based on this principle, an optimal control method for AGC is proposed. The grid-connected power supplies with voltage levels of 220kV and above and 110kV and below are controlled according to different goals. For the grid-connected new energy and energy storage power stations with voltage levels of 110kV and below, this paper proposes an ACE allocation method that uses cloud data to regulate. The contradiction between regulating cloud data transmission speed and AGC control period is resolved. The proposed method has been deployed and applied in a provincial power grid in southern China for more than 1 year. By running the data, the effectiveness of the proposed method is verified.