双馈风力发电机空载并网运行控制建模与仿真研究

doi:10.3969/j.issn.1000－7229.2016.09.017

摘要/Abstract

摘要： 针对双馈风力发电机（doubly-fed induction generator，DFIG）空载运行和并网运行特点，采用一种“空载—并网”两阶段控制的方案，从而实现“空载”和“并网”2个工作状态的平滑转移。基于Matlab/Simulink平台，分别搭建了双馈风力发电机空载运行和并网运行的模型，给出了基于定子磁场定向矢量控制技术的空载和并网运行控制的详细仿真模型和具体参数，为研究双馈风力发电机并网控制技术提供重要的基础信息和平台。提出了一套较为完整的双馈风力发电机空载并网的仿真实验方案，通过该实验方案，可得到较为全面反映控制策略性能的实验结果，依据此可对并网控制策略的性能进行检验。最后，通过空载运行、并网瞬间的过渡过程以及并网后的最大功率追踪（maximum power point tracking，MPPT）等仿真结果验证了本文所提控制方案以及建立的仿真模型的有效性。

关键词: 双馈风力发电机（DFIG）, 空载并网, 定子磁链定向, 最大功率追踪（MPPT）, 建模仿真

Abstract: This paper proposes a two-stage control scheme of ‘no load - grid connected’ to realize the smooth state transferring from ‘no load’ to ‘grid connected’, according to the characteristics of ‘no load’ and ‘grid connected’ of doubly-fed induction generator （DFIG）. Based on the Matlab/Simulink platform, we establish the simulation models of a no-load operation and a grid-connected operation of DFIG respectively, and give the simulation module and parameters based on the stator field-oriented vector control technology, which provides important basic information and platform for the research on the grid connected control technology of DFIG. Then, we propose a set of the simulation experiment scheme for ‘no load - grid connected’ DFIG, which can obtain comprehensive results for testing the control strategies. Finally, we verify the effectiveness of the proposed control strategies and simulation model, through the simulation results of the no-load operation, the transient process at the cutting-in moment, and the maximum power energy tracking （MPPT） after grid-connected operation.

Key words: doubly-fed induction generator （DFIG）, no-load cutting-in, stator field-oriented control, maximum power energy tracking （MPPT）, modeling and simulation

中图分类号:

TM 614

兰飞，姚知洋，黎静华，陶丽. 双馈风力发电机空载并网运行控制建模与仿真研究[J]. 电力建设, 2016, 37(9): 123-.

LAN Fei, YAO Zhiyang, LI Jinghua, TAO Li. Modeling and Simulation of No-Load Cutting-In Operation Control for Doubly-Fed Induction Generator[J]. Electric Power Construction, 2016, 37(9): 123-.

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