基于GA-FC的双馈风机调频优化策略

双馈风机通过附加虚拟惯性控制和下垂控制参与电力系统调频，但固定的控制系数无法发挥风机实际调频潜力。针对这一问题，提出了一种将遗传算法和模糊控制（GA-FC）相结合的变系数风机调频优化控制策略。首先，为提高调频时功率支撑能力，分析了超速减载控制，对不同风速下减载率进行拟合；然后，参考其他文献虚拟惯性控制系数整定结果，对下垂控制系数进行整定，再通过GA-FC实现动态调整控制系数，实时挖掘风机实际调频能力；最后，在MATLAB/Simulink搭建仿真模型，对所提策略进行验证。结果表明所提策略能够有效提升系统频率支撑。

Optimization Strategy of Frequency Modulation for DFIG Based on GA-FC

Doubly fed induction generator participates in power system frequency regulation by attaching virtual inertia and sag control，but the fixed control coefficients cannot realize the actual frequency regulation potential of the wind turbine.To address this problem，a genetic algorithm and fuzzy control （GA-FC） based optimal control strategy for variable coefficient wind turbine frequency regulation is proposed. First，in order to improve the power support capability at frequency regulation，the overspeed load shedding control is analyzed and the load shedding rate at different wind speeds is fitted；then by referring to other literature on the results of virtual inertia control coefficient rectification，the sag control coefficient is rectified and the control coefficient is dynamically adjusted by GA-FC to explore the actual frequency regulation capability of the wind turbine in real time；finally，a simulation model is built in MATLAB/Simulink to verify the proposed strategy，and the results show that the proposed strategy can effectively improve the system frequency support.