Energy Storage Science and Technology ›› 2022, Vol. 11 ›› Issue (5): 1475-1481.doi: 10.19799/j.cnki.2095-4239.2021.0619

• Energy Storage System and Engineering • Previous Articles     Next Articles

AGC command tracking control strategy for battery energy storage power station based on optimized dynamic grouping technology

Xinlei CAI1(), Kai DONG1, Zijie MENG1, Zhenfan YU1, Boxiao WANG2, Yang YU2()   

  1. 1.Electric Power Dispatching Control Center of Guangdong Grid Co. , Ltd. , Guangzhou 510600, Guangdong, China
    2.State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, Hebei, China
  • Received:2021-11-22 Revised:2021-12-11 Online:2022-05-05 Published:2022-05-07
  • Contact: Yang YU E-mail:517665114@qq.com;yym0401@163.com

Abstract:

Aiming at the problem of low consistency of charge state and high action times of battery cells when battery energy storage power station tracks AGC command, a new control strategy for battery energy storage power station to track AGC command is studied in this paper. Based on the brief discussion of the working principle of the Beetle Antennae Search, this paper puts forward the tracking AGC command control strategy of battery energy storage power station based on dynamic grouping technology. Firstly, the battery cells are sorted according to their charge state, and the battery cells are grouped once according to the sorting results; Then, determine the power response command of each battery pack according to its power distribution principle; Thirdly, the battery cells are grouped twice according to the difference in the action times of the battery cells; Finally, according to the principle of power distribution in the battery pack, the battery unit power response command is obtained, and the battery unit responds to the distributed power. In addition, this paper designs the evaluation system according to the effect of battery energy storage power station tracking AGC command, then constructs the fitness function required by Beetle Antennae Search, and uses Beetle Antennae Search to optimize the forced update threshold of dynamic grouping technology. The simulation results show that the control strategy improves the effect of battery energy storage power station tracking AGC command, improves the consistency of battery cell charge state, and reduces the action times of battery cell.

Key words: battery energy storage, dynamic grouping technology, AGC, beetle antennae search

CLC Number: