面向DFIG风电场的自适应频率控制方法
柳力1，王俊2，肖孟金3
（1 国网电力科学研究院武汉南瑞有限责任公司，湖北 武汉 430074；2 江苏方天电力技术有限公司，江苏 南京 211102；
3 国网湖北省电力公司，湖北 武汉 430077）
摘 要：针对双馈感应风力发电机（DFIG）风电场提出一种基于模糊神经网络的一次调频自适应联合控制策略，利用神经网络的学习推理能力，训练自适应性较强的模糊神经控制器，来实现DFIG风电场转子动能释放和储备功率增发自适应协同控制，使DFIG风电场能参与系统频率控制，提升系统的一次频率控制能力。仿真结果表明，该控制方法能更有效地提高含DFIG风电场系统的频率控制能力，降低DFIG风电场并网对区域电网的冲击，提升区域电网接纳风电能力，促进可再生能源的高效利用。
关键词：DFIG风电场；自适应；频率控制；转子动能；备用功率
中图分类号：TM614 文献标识码：A 文章编号：1007-3175(2018)02-0011-06
Adaptive Frequency Control Method for Double Fed Induction Generator Wind Farm
LIU Li1, WANG Jun2, XIAO Meng-jin3
（1 State Grid Electric Power Research Institute Wuhan NARI Limited Liability Company, Wuhan 430074, China;
2 Jiangsu Frontier Electric Technologies Co., Ltd, Nanjing 2111 02, China;
3 State Grid Hubei Electric Power Company, Wuhan 430077, China）
Abstract: Aiming at double fed induction generator (DFIG) wind farms, this paper proposed a kind of primary frequency modulation self-adaptive combined control strategy, used the study inferential capability of neural network and drilled the fuzzy neural controller to realize the DFIG wind farm rotor kinetic energy release and reserve power additional self-adaptive coordination control and to make the DFIG wind farm be able to participate in the system frequency control so as to promote the primary frequency control ability. The simulation result shows that this control method could effectively improve the frequency control ability of wind farm system with DFIG, reduce the impact from the DFIG wind farm grid connected to regional power grids, promote regional power grids acceptance wind power capacity and accelerate efficient utilization of renewable energy sources.
Key words: double fed induction generator wind farm; self-adaptive; frequency control; rotor kinetic energy; reserve power
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