A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system-Reference-Cited by-同舟云学术

A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system

Published:2023-10 Issue:5 Volume:6 Page:554-566
ISSN:2096-5117
Container-title:Global Energy Interconnection
language:en
Short-container-title:Global Energy Interconnection

Author:

Ding Min,Tao Zili,Hu Bo,Ye Meng,Ou Yingxiong,Yokoyama Ryuichi

Funder

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference19 articles.

1. An improved maximum power point tracking method for wind power systems;Jeong;Energies,2012

2. Comparative analysis on power curve models of wind turbine generator inestimating capacity factor;Chang;Energy,2014

3. Maximum power point tracker of wind energy conversion system;Kesraoui;Renew. Energy,2011

4. Pan C T, Juan Y L (2010) A novel sensorless mppt controller for a high-efficiency microscale wind power generation system.

5. Sensorless mppt fuzzy controller for dfig wind turbine;Bezza;Energy Procedia,2012

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