Application of Effective Wind Speed Estimation and New Sliding Mode Observer in Wind Energy Conversion System

Author:

Bian Fengshuo1ORCID,Meng Keqilao123ORCID,Jia Yan123,Ma Jianlong123,Hai Rihan1

Affiliation:

1. School of Energy and Power Engineering Inner Mongolia University of Technology, Hohhot 010051, China

2. Key Laboratory of Wind Energy and Solar Energy Utilization Technology of Ministry of Education, Hohhot 010051, China

3. Inner Mongolia Wind Power Technology and Detection Engineering Technology Research Center, Hohhot 010051, China

Abstract

The wind speed information measured by the wind speed sensor in the wind turbine generator may differ from sufficient wind speed. Therefore, this paper proposes a new effective wind speed calculation method and applies it to the optimal maximum power point tracking (MPPT) of wind energy. After estimating the turbine torque and its rotor speed, the process reverses the turbine’s aerodynamic model. The extended state observer (ESO) based on sliding mode control is used to estimate the aerodynamic torque, which solves complex and challenging tuning of the traditional ESO parameters, and replaces the conventional PI controller, thereby improving the anti-interference and robustness of the system. The sliding mode observer (SMO) is used to estimate the rotor speed. While satisfying the conditions of Lyapunov’s inequality, the design of the SMO is discussed in detail. The wind speed estimation method proposed for evaluating permanent magnet semidirect drive wind turbine and its application performance in maximum power tracking. The simulation was carried out in MATLAB/Simulink; the simulation confirmed that the estimated wind speed under different wind conditions is accurate. Compared with the traditional PI control, the utilization rate of wind energy is increased by 2%, which can be used for the MPPT control of the wind energy conversion system.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference29 articles.

1. An Overview on Development of Wind Power Generation

2. A Generic Convex Model for a Chance-Constrained Look-Ahead Economic Dispatch Problem Incorporating an Efficient Wind Power Distribution Modeling

3. Wind energy systems;F. Blaabjerg;Proceedings of the IEEE,. 2017

4. Dynamic simulation and scale model experimental analysis of planetary gears train of semi-direct drive wind turbine;Z. Xiao

5. Maximum power point tracking control of wind turbine considering temperature and humidity[J];X. Su;Transactions of China Electrotechnical Society,2017

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