基于FMPC的储能系统跟踪光伏发电计划控制策略

FMPC based control strategy for tracking PV power schedule output of energy storage system

为了最大限度地提高跟踪光伏发电计划的能力,文章提出一种适用于储能系统的模糊模型预测控制(FMPC)充放电控制策略。基于模型预测控制(MPC)方法,建立了以储能系统剩余容量偏离理想值、并网功率与发电计划偏差最小为目标的控制模型,通过引入模糊控制(Fuzzy Control),即时调节目标函数中的权重系数以获得最佳跟踪效果。以光伏电站实际运行数据进行仿真分析,结果表明,与传统MPC和普通控制策略相比,所提出的基于FMPC的储能系统控制方法具有独特的灵活性和适应性。

In order to maximize the ability to improve the tracking PV power schedule output, a fuzzy model predictive control(FMPC) charge and discharge control strategy suitable for energy storage systems(ESS) was proposed. Firstly, based on the model predictive control(MPC)method, a control model was established, which aimed to minimize the deviate from the ideal value of the remaining capacity of the energy storage system and the deviation between the grid power and the generation plan. Secondly, the weight coefficient in the objective function can be adjusted instantly to obtain the best tracking effects by introducing Fuzzy Control. The actual operation data of PV was used for simulation analysis, the results show that compared with the traditional MPC and common control strategies, the proposed BESS control method based on FMPC had unique flexibility and adaptability.