Computationally Efficient Reduced Order Modeling of DFIG-Based Wind Turbines: A Novel Frequency-Weighted and Limited Model Reduction Approach With Error Bounds-Reference-Cited by-同舟云学术

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Computationally Efficient Reduced Order Modeling of DFIG-Based Wind Turbines: A Novel Frequency-Weighted and Limited Model Reduction Approach With Error Bounds

Published:2024 Issue: Volume:12 Page:54299-54315
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Latif Muhammad¹^ORCID,Ambreen Hira²^ORCID,Hassan Farrukh³,Imran Muhammad¹^ORCID,Imran Muhammad¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Military College of Signals (MCS), National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. Department of Electrical Engineering, Sir Syed Center for Advanced Studies in Engineering Institute of Technology (SS-CASE-IT), Islamabad, Pakistan

3. Department of Computing and Information Systems, School of Engineering and Technology, Sunway University, Bandar Sunway, Subang Jaya, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10489949.pdf?arnumber=10489949

Reference38 articles.

1. Analysis and Modeling of Direct Ammonia Fuel Cells for Solar and Wind Power Leveling in Smart Grid Applications

2. Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle

3. Optimal Power Flow Analysis With Renewable Energy Resource Uncertainty Using Dwarf Mongoose Optimizer: Case of ADRAR Isolated Electrical Network

4. Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

5. A Novel DPC Approach for DFIG-Based Variable Speed Wind Power Systems Using DSpace

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