Next Article in Journal
Application of VES Acid System on Carbonate Rocks with Uninvaded Matrix for Acid Etching and Fracture Propagation
Next Article in Special Issue
Numerical Investigation of SCR Mixer Design Optimization for Improved Performance
Previous Article in Journal
Viscoelastic Properties of Crosslinked Chitosan Films
Previous Article in Special Issue
A Flexible Responsive Load Economic Model for Industrial Demands
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Processes 2019, 7(3), 158; https://doi.org/10.3390/pr7030158

Implementation of Maximum Power Point Tracking Based on Variable Speed Forecasting for Wind Energy Systems

1
School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
2
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
3
Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450000, China
*
Author to whom correspondence should be addressed.
Received: 30 January 2019 / Revised: 6 March 2019 / Accepted: 8 March 2019 / Published: 15 March 2019
Full-Text   |   PDF [2210 KB, uploaded 15 March 2019]   |  

Abstract

In order to precisely control the wind power generation systems under nonlinear variable wind velocity, this paper proposes a novel maximum power tracking (MPPT) strategy for wind turbine systems based on a hybrid wind velocity forecasting algorithm. The proposed algorithm adapts the bat algorithm and improved extreme learning machine (BA-ELM) for forecasting wind speed to alleviate the slow response of anemometers and sensors, considering that the change of wind speed requires a very short response time. In the controlling strategy, to optimize the output power, a state feedback control technique is proposed to achieve the rotor flux and rotor speed tracking purpose based on MPPT algorithm. This method could decouple the current and voltage of induction generator to track the reference of stator current and flux linkage. By adjusting the wind turbine mechanical speed, the wind energy system could operate at the optimal rotational speed and achieve the maximal power. Simulation results verified the effectiveness of the proposed technique. View Full-Text
Keywords: maximum power tracking (MPPT); wind speed forecasting; wind energy system (WES); state feedback controller maximum power tracking (MPPT); wind speed forecasting; wind energy system (WES); state feedback controller
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, Y.; Zhang, L.; Liu, Y. Implementation of Maximum Power Point Tracking Based on Variable Speed Forecasting for Wind Energy Systems. Processes 2019, 7, 158.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Processes EISSN 2227-9717 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top