• 新型电力系统与综合能源 •

基于模型预测控制的分布式储能型风力发电场惯性控制策略

1. 1.国网湖南省电力有限公司电力科学研究院,长沙 410000
2.湖南大学 电气与信息工程学院,长沙 410082
• 收稿日期:2020-06-30 出版日期:2022-10-28 发布日期:2022-11-03
• 作者简介:沈阳武(1985-),男,湖北省咸宁市人,高级工程师,从事新能源并网控制、电力系统稳定分析研究.E-mail: shenyangwu@126.com.

Inertial Control Strategy for Wind Farm with Distributed Energy Storage System Based on Model Predictive Control

SHEN Yangwu1(), SONG Xingrong1, LUO Ziren2, SHEN Feifan2, HUANG Sheng2

1. 1. Electric Power Scientific Research Institute, State Grid Hunan Electric Power Co., Ltd., Changsha 410000, China
2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
• Received:2020-06-30 Online:2022-10-28 Published:2022-11-03

Abstract:

Distributed energy storage (DES) wind turbine is an effective means to solve the problem of system frequency stability caused by large-scale wind power connection. In this paper, an inertial control method for DES wind farms based on model predictive control (MPC) is proposed.First, the linearized prediction model of the DES wind farm is established. Then, on this basis, in combination with the control framework of MPC, an optimization model and strategy of MPC inertial control are proposed considering the cost of energy storage loss and the balanced change of wind turbine rotor speed,in order to achieve the balanced change of wind turbine rotor speed during inertia control. The simulation results show that the proposed control strategy can effectively coordinate the active power output of the wind power generation unit and the energy storage system unit in the DES wind turbine, reduce the cost of charging and discharging loss of the energy storage system, and ensure that the rotational speed of all wind turbines in the wind farm tends to be average during the inertial control period, avoiding the problem of wind turbines exiting frequency regulation due to excessive reduction of the rotational speed of wind turbines. The inertial control strategy of the DES wind farm is beneficial to improve the frequency stability of the power grid, which is of great significance to ensure the safe operation of the power grid.