Sliding mode extremum seeking control based on improved invasive weed optimization for MPPT in wind energy conversion system-Reference-Cited by-同舟云学术

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Sliding mode extremum seeking control based on improved invasive weed optimization for MPPT in wind energy conversion system

Published:2019-08 Issue: Volume:248 Page:567-575
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Hu Lu,Xue Fei,Qin Zijian,Shi Jiying,Qiao Wen,Yang Wenjing,Yang Ting

Funder

National key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Tianjin

International Science and Techonlogy Cooperation Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference41 articles.

1. A new model for environmental and economic evaluation of renewable energy systems: the case of wind turbines;Savino;Appl Energy,2017

2. Research on optimal gradient – climbing algorithm in wind power generation;Zhao;Appl Mech Mater,2013

3. Optimal torque control based on effective tracking range for maximum power point tracking of wind turbines under varying wind conditions;Yin;IET Renew Power Gener,2017

4. Experimental power curve of small-size wind turbines in turbulent urban environment;Pagnini;Appl Energy,2015

5. Maximum power point tracking and output power control on pressure coupling wind energy conversion system;Do;IEEE Trans Ind Electron,2018

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1. Performance of Robust Type-2 Fuzzy Sliding Mode Control Compared to Various Conventional Controls of Doubly-Fed Induction Generator for Wind Power Conversion Systems;Energies;2024-07-31

2. Combining Sliding Mode and Fractional-Order Theory for Maximum Power Point Tracking Enhancement of Variable-Speed Wind Energy Conversion;Fractal and Fractional;2024-07-30

3. Adaptive neuro fuzzy technology to enhance PID performances within VCA for grid-connected wind system under nonlinear behaviors: FPGA hardware implementation;Computers and Electrical Engineering;2024-07

4. A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems;International Journal of Dynamics and Control;2024-05-11

5. Improving Wind Turbine Performance in Residential Grid-Connected System Operating at Variable Wind Conditions with WOA-MPPT Based Strategy;Lecture Notes in Networks and Systems;2024

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