Optimization Control of Front-End Speed Regulation (FESR) Wind Turbine Based on Improved NSGA-II

Optimization Control of Front-End Speed Regulation (FESR) Wind Turbine Based on Improved NSGA-II

Aiming at the power optimization control problem of front-end speed regulation (FESR) wind turbine, when the wind speed above rated wind speed, an optimal control strategy of variable pitch and variable torque based on improved NSGA-II algorithm is proposed. For this strategy, the reverse learning m...

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Bibliographic Details
Main Authors: Li Xiaoqing, Dong Haiying, Li Hongwei, Li Mingxue, Sun Zhiqiang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Front-end speed regulation (FESR) wind turbine
hybrid automata
power control
optimization control
improved NSGA-II algorithm
Online Access:https://ieeexplore.ieee.org/document/8681034/

Internet

https://ieeexplore.ieee.org/document/8681034/

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