Low-Complexity Model Predictive Direct Power Control for DFIG Under Both Balanced and Unbalanced Grid Conditions

被引:92
作者
Sun, Dan [1 ]
Wang, Xiaohe [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Direct power control (DPC); doubly fed induction generator (DFIG); unbalanced grid condition; WIND ENERGY APPLICATIONS; FED INDUCTION GENERATOR; VECTOR-BASED APPROACH; FINITE-CONTROL-SET; CONVERTERS; SYSTEMS;
D O I
10.1109/TIE.2016.2570201
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
This paper proposes a low-complexity model predictive direct power control (LC-MPDPC) strategy for doubly fed induction generator (DFIG) under both balanced and unbalanced grid conditions. Based on the elaborated analysis of the mathematical model of DFIG, proper formulas for the LC-MPDPC strategy are obtained. A unified power compensation strategy is proposed to achieve various control targets flexibly during unbalanced grid condition. Comparative experimental studies of lookup table-based direct power control and LC-MPDPC for DFIG are conducted to validate the superior steady-state and dynamic performance of the LC-MPDPC under balanced grid condition. Furthermore, the experimental results also prove that the proposed LC-MPDPC with power compensation can satisfy different operation requirements of the DFIG system under unbalanced grid condition, and the dynamic response is satisfactory when the control target changes.
引用
收藏
页码:5186 / 5196
页数:11
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