Adaptive fractional-order PID control of PMSG-based wind energy conversion system for MPPT using linear observers-Reference-Cited by-同舟云学术

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Adaptive fractional-order PID control of PMSG-based wind energy conversion system for MPPT using linear observers

Published:2018-08-15 Issue:1 Volume:29 Page:e2697
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Yang Bo¹^ORCID,Yu Tao²,Shu Hongchun¹,Han Yiming¹,Cao Pulin¹,Jiang Lin³

Affiliation:

1. Faculty of Electric Power Engineering; Kunming University of Science and Technology; 650500 Kunming China

2. College of Electric Power; South China University of Technology; 510640 Guangzhou China

3. Department of Electrical Engineering & Electronics; University of Liverpool; Liverpool L69 3GJ UK

Funder

National Natural Science Foundation of China

Scientific Research Foundation of Yunnan Provincial Department of Education

Yunnan Provincial Talents Training Program

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/etep.2697/fullpdf

Reference34 articles.

1. Design of a weekly hybrid power market in China facilitating connection of large-scale renewable generation;Wang;Int Trans Electric Energy Syst,2015

2. Chronological operation simulation framework for regional power system under high penetration of renewable energy using meteorological data;Liao;Appl Energy,2017

3. Adaptive wide-area power oscillation damper design for photovoltaic plant considering delay compensation;Shen;IET Gen, Transmiss Distrib,2017

4. Solution to short-term frequency response of wind farms by using energy storage systems;Liu;IET Renewable Power Gen,2016

5. Adaptive supplementary damping control of VSC-HVDC for interarea oscillation using GrHDP;Shen;IEEE Trans Power Syst,2018

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3. Deep reinforcement learning for PMSG wind turbine control via twin delayed deep deterministic policy gradient (TD3);Optimal Control Applications and Methods;2024-04-07

4. Optimal captured power control of variable speed wind turbine systems: Adaptive dynamic programming approach;International Journal of Adaptive Control and Signal Processing;2024-04-05

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