Optimal Stepwise Inertial Control of Wind Turbine Based on Fuzzy Control and Deep Neural Network-Reference-Cited by-同舟云学术

Optimal Stepwise Inertial Control of Wind Turbine Based on Fuzzy Control and Deep Neural Network

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Electrical and Energy Conference (CIEEC)
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Author:

Zhou Tao¹,Wang Yalun¹,Xu Yan²

Affiliation:

1. Nanjing University of Science and Technology,School of Automation,Nanjing,China

2. Jiangsu Frontier Electric Technology Co., Ltd,Product Technology Research and Development Center,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9845798/9845816/09845818.pdf?arnumber=9845818

Reference23 articles.

1. Coordinated control parameter setting of DFIG wind farms with virtual inertia control;liu;International Journal of Electrical Power and Energy Systems,2020

2. Dynamic Frequency Support from a DFIG-Based WT Generator via Virtual Inertia Control;yang;Applied Sciences,2020

3. Optimized virtual inertia of wind turbine for rotor angle stability in interconnected power systems

4. Adaptive MPPT control applied to virtual synchronous generator to extend the inertial response of type-4 wind turbine generators;augusto;Sustainable Energy Grids and Networks,2021

5. Correction to “A Dual-Adaptivity Inertia Control Strategy for Virtual Synchronous Generator” [Jan 20 594-604]

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1. Novel Fuzzy Logic Controls to Enhance Dynamic Frequency Control and Pitch Angle Regulation in Variable-Speed Wind Turbines;Energies;2024-05-29

2. Performance Evaluation of Multi Input DC-DC as Frequency Control on Standalone System;2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS);2022-11-04