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变风速下双馈感应发电机非线性鲁棒状态估计反馈控制

杨博 束洪春 邱大林 朱德娜 韩一鸣 余涛

电力系统自动化2019,Vol.43Issue(4):60-69,10.
电力系统自动化2019,Vol.43Issue(4):60-69,10.DOI:10.7500/AEPS20180330007

变风速下双馈感应发电机非线性鲁棒状态估计反馈控制

Nonlinear Robust State Estimation Feedback Control of Doubly-fed Induction Generator Under Variable Wind Speeds

杨博 1束洪春 1邱大林 1朱德娜 1韩一鸣 1余涛2

作者信息

  • 1. 昆明理工大学电力工程学院, 云南省昆明市 650500
  • 2. 华南理工大学电力学院, 广东省广州市 510641
  • 折叠

摘要

Abstract

The high randomness of wind speed and the uncertainties of wind generator modelling have posed great challenges to the optimal operation of wind power generation systems.This paper designs a new nonlinear robust state estimation feedback control (NRSEFC) of doubly-fed induction generator (DFIG) for maximum power point tracking (MPPT).Firstly, the combined effect of wind turbine nonlinearities, generator parameter uncertainties, and wind speed randomness is aggregated into a perturbation, which is then rapidly estimated in real-time by a sliding-mode state and perturbation observer (SMSPO).Furthermore, the perturbation estimation value is fully compensated online as a supplementary control component by a state estimation feedback controller.NRSEFC has the advantages of simple structure, high reliability of linear feedback control, as well as global control consistency and significant robustness of nonlinear robust control, while it does not require an accurate DFIG model and only need the state variables of rotor speed and reactive power.Four case studies, including step change of wind speed, random wind speed, generator parameter measurement error and voltage drop are carried out.Simulation results verify the effectiveness and robustness of the proposed approach.Finally, a dSpace based hardware-in-the-loop (HIL) test validates the application feasibility of the proposed approach.

关键词

双馈感应发电机/最大功率点跟踪/状态估计反馈控制/硬件在环实验

Key words

doubly-fed induction generator (DFIG)/maximum power point tracking (MPPT)/state estimation feedback control/hardware-in-the-loop test

引用本文复制引用

杨博,束洪春,邱大林,朱德娜,韩一鸣,余涛..变风速下双馈感应发电机非线性鲁棒状态估计反馈控制[J].电力系统自动化,2019,43(4):60-69,10.

基金项目

国家自然科学基金资助项目(51777078) (51777078)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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