考虑功率运行点的风电场混合储能MPC控制策略

An MPC Control Strategy of Wind Farm Hybrid Energy Storage Considering Power Operation Point

中文关键词:风电功率平滑  MPC控制  功率运行点  模糊控制  混合储能

keywords:wind power smoothing  MPC control  power operating point  fuzzy control  hybrid energy storage

中文摘要:提出一种考虑运行点的的风电场混合储能模型预测控制（model predictive control，MPC）策略，实现有效平滑风电出力和混合储能系统内部功率分配。首先，以储能系统出力最优为目标，满足并网标准和储能运行约束作为约束条件，推导出平滑风电出力的预测控制模型，调用求解器实现储能出力优化。然后，基于一阶低通滤波解耦内部功率，考虑蓄电池运行点对混合储能功率解耦的影响，以调整超级电容出力为原则，提出改善混合储能内部无效能量交换的滤波参数调整规则，并设计滤波参数模糊控制规则实现自适应控制，有效避免蓄电池-超级电容间无效能量交换，并能延长蓄电池运行寿命。最后，在MATLAB/SIMULINK中搭建风电场-混合储能系统并网模型，并采用实际风电功率数据进行验证，算例表明，相比低通滤波法，所提策略使混合储能能量交换降低44.94%；蓄电池-超级电容间无效能量交换降低99.4%，有效提升混合储能系统整体运行效能。

Abstract:A model predictive control（MPC） strategy for wind farm hybrid energy storage considering operating points is proposed in this paper to achieve the effective smoothed wind power output and the power distribution within the hybrid energy storage system. Firstly， taking the optimal output of the energy storage system as the goal， with meeting the grid-connected standards and the energy storage operation constraints as the constraint conditions， the predictive control model of smooth wind power output is derived， and the solver is invoked to realize the optimization of energy storage output. Secondly， based on the first-order low-pass filter decoupling internal power， considering the influence of battery operating point on hybrid energy storage power decoupling， and taking the principle of adjusting the output of the supercapacitor as the principle， the filter parameter control rule is proposed to improve the ineffective energy exchange inside the hybrid energy storage system， and the filter parameter fuzzy control rule is designed to make adaptive adjustment， effectively avoiding the ineffective energy exchange inside the hybrid energy storage system， and prolonging the battery life. Finally， a grid-connected wind farm hybrid energy storage system model is built in MATLAB/ SIMULINK， and the effectiveness of the proposed strategy is verified by actual wind power data. The Case study shows that compared with the low-pass filtering method， the proposed strategy can reduce the energy exchange of hybrid energy storage by 44.94%. The ineffective energy exchange between the battery and the super capacitor is reduced by 99.4%， effectively improving the overall operation efficiency of the hybrid energy storage system.