A Low Voltage Ride Through Strategy of DFIG based on Explicit Model Predictive Control-Reference-Cited by-同舟云学术

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A Low Voltage Ride Through Strategy of DFIG based on Explicit Model Predictive Control

Published:2020-07 Issue: Volume:119 Page:105783
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Luo Jia,Zhao Haoran,Gao Shuning,Han Mingzhe

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference29 articles.

1. A quantitative approach to wind farm diversification and reliability;Degeilh;Int J Electr Power Energy Syst,2011

2. Adaptive fractional integral terminal sliding mode power control of UPFC in DFIG wind farm penetrated multimachine power system;Dash;Prot Control Mod Power Syst,2018

3. A comprehensive review of low voltage ride through of doubly fed induction wind generators;Tohidi;Renew Sustain Energy Rev,2016

4. Transient modeling and analysis of a DFIG based wind farm with supercapacitor energy storage;Kenan;Int J Electr Power Energy Syst,2016

5. A novel controllable crowbar based on fault type protection technique for DFIG wind energy conversion system using adaptive neuro-fuzzy inference system;Noureldeen;Prot Control Mod Power Syst,2018

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1. IoT based monitoring system for DFIG based wind turbines under voltage dips;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-09

2. Decoupled feed-forward control model enhancement for low voltage ride through capability in DFIG-based wind turbines;Electrical Engineering;2024-04-29

3. Consolidation of LVFRT capabilities of microgrids using energy storage devices;Scientific Reports;2023-12-15

4. A novel low voltage ride-through scheme for DFIG based on the cooperation of hybrid energy storage system and crowbar circuit;Journal of Energy Storage;2023-12

5. An adaptive fuzzy logic control technique for LVRT enhancement of a grid-integrated DFIG-based wind energy conversion system;ISA Transactions;2023-07

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