基于KF-MPC的光储系统双调节反馈优化控制方法

DUAL-REGULATING FEEDBACK OPTIMIZATION CONTROL METHOD OF PV COMBINED ENERGY STORAGE SYSTEM BASED ON KF-MPC

利用储能技术能够有效平抑光伏功率波动,提高光伏输出功率的稳定性。该文提出一种基于卡尔曼滤波-模型预测控制(KF-MPC)的光储系统双调节反馈优化控制方法,即将卡尔曼滤波和模型预测控制相结合,采用双调节反馈控制实现光储系统的优化控制。在卡尔曼滤波器中引入滤波调节因子,通过自适应调节卡尔曼滤波增益使储能系统在不同工况下有效平抑光伏功率波动。在模型预测控制器中以储能出力最小、荷电状态最优以及光伏波动率最低为目标,通过模型预测控制滚动优化得到储能系统最优出力和最佳荷电状态。通过对某光储电站实际运行数据分析可知,该文所提出的控制策略在平抑光伏功率波动的同时还可有效延长储能系统使用寿命,具有工程应用前景。

The energy storage technology can effectively smooth the fluctuation of photovoltaic(PV)output power and improve the stability of the PV output power. A dual-regulating feedback optimization control method of the PV combined energy storage system based on Kalman filter(KF)-Model predictive control(MPC)is proposed in this paper,in which Kalman filter and model predictive control are combined and a dual-regulating feedback optimal control of the PV combined energy storage system is adopted. A filter adjustment factor is introduced in the Kalman filter to effectively smooth the fluctuation of the PV output power using the energy storage system under different working conditions by adaptively adjusting the Kalman filter gain. With the goal of the minimum output of the energy storage system,the best state of the SOC of the energy storage system and the lowest fluctuations of the PV output power in the MPC,the optimal output and the best SOC of the energy storage system are obtained by the rolling optimization of the MPC. Through the analysis of the actual operation data at a certain PV combined energy storage power station,the control strategy proposed in this paper can effectively extend the service life of the energy storage system while smoothing the fluctuation of the PV output power,and has certain engineering application prospects.