DFIG Adaptive Droop Control Strategy Based on Maximum System Frequency Deviation
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摘要: 针对现有双馈异步风力发电机组（DFIG）调频策略无法兼顾发挥调频潜力与保障自身调频运行安全稳定的问题，提出一种基于系统最大频率偏差的DFIG自适应下垂控制策略。首先，搭建DFIG的风能捕获模型，明确最大功率跟踪运行机理；然后，引入模糊控制对现有下垂控制中的控制增益进行改进，使DFIG在保障自身运行稳定的情况下实时调整调频增发功率，以改善系统频率跌落；最后，在Matlab/Simulink中搭建电力仿真系统模型，验证所提策略的有效性。算例分析表明，所提策略在不同工况下均可充分发挥DFIG自身调频潜力，减少系统最大频率偏差。
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关键词:
- 双馈异步风力发电机组 /
- 下垂控制 /
- 控制系数 /
- 频率偏差 /
- 模糊控制
Abstract: Aiming at the problem that the existing frequency regulation strategy cannot give full play to the potential of frequency regulation and ensure the safety and stability of DFIG frequency regulation operation,an adaptive droop control strategy of DFIG based on maximum frequency deviation is proposed. Firstly,the wind energy capture model of DFIG is built to clarify the maximum power point tracking mechanism. Then,the control gain is improved in the existing traditional droop control method for wind turbines by fuzzy control. DFIG can adjust the frequency regulation power in real time and improve the frequency drop of the system while ensuring its own stable operation. Finally,the power simulation system model is built in Matlab/Simulink to verify the effectiveness of the proposed strategy. Case analysis shows that the proposed adaptive droop control can make fully use of the frequency regulation potential of DFIG and reduce the maximum frequency deviation of the system under different operating conditions.-
Keywords:
- DFIG /
- droop control /
- control coefficient /
- frequency deviation /
- fuzzy control
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