A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid-Reference-Cited by-同舟云学术

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A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid

Published:2024 Issue: Volume:12 Page:77816-77830
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alshareef Abdulrhman¹,Shah Rakibuzzaman²^ORCID,Mithulananthan N.²,Akram Umer³,Alzahrani Saeed⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, University of Jeddah, Jeddah, Saudi Arabia

2. School of Electrical Engineering and Computer Science, The University of Queensland, Saint Lucia, QLD, Australia

3. DIgSILENT Pacific, Sydney, NSW, Australia

4. Electrical Engineering Department, Faculty of Engineering, Al-Baha University, Al-Baha, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10541949.pdf?arnumber=10541949

Reference47 articles.

1. Examination of Effective VAr With Respect to Dynamic Voltage Stability in Renewable Rich Power Grids

2. Control of Photovoltaic Systems for Enhanced Short-Term Voltage Stability and Recovery

3. A New Global Index for Short Term Voltage Stability Assessment

4. Assessing Impact of Renewable Energy Integration on System Strength Using Site-Dependent Short Circuit Ratio

5. Examination of Composite Load and Variable Frequency Drive Air Conditioning Modeling on FIDVR

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