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Open AccessArticle
Optimized Universal Droop Control Framework for Enhancing Stability and Resilience in Renewable-Dense Power Grids
by
Agboola Benjamin Alao
Agboola Benjamin Alao 1,*
,
Olatunji Matthew Adeyanju
Olatunji Matthew Adeyanju 2
,
Manohar Chamana
Manohar Chamana 3
,
Stephen Bayne
Stephen Bayne 1 and
Argenis Bilbao
Argenis Bilbao 1
1
ECE Department, Texas Tech University, Lubbock, TX 79409, USA
2
National Wind Institute, Texas Tech University, Lubbock, TX 79409, USA
3
Renewable Energy Program, Texas Tech University, Lubbock, TX 79409, USA
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(11), 2149; https://doi.org/10.3390/electronics14112149 (registering DOI)
Submission received: 7 April 2025
/
Revised: 18 May 2025
/
Accepted: 23 May 2025
/
Published: 25 May 2025
Abstract
High penetration of green energy sources presents substantial challenges to grid stability and resilience, primarily due to inherent voltage and frequency variability, which worsens during critical events. This study proposes an integrated framework for stability and resilience enhancement in renewable-dense power grids by designing optimized universal droop controllers (UDCs) tailored for grid-forming operations under high-impact contingencies. The UDC incorporates fault localization functionality via grid-forming inverters embedded with phasor measuring capabilities (phase voltage magnitude and angle) to facilitate real-time fault detection and response, thus augmenting operational reliability. Leveraging integrated solution environments, the developed framework employs numerical optimization routines for resource allocation, load prioritization, economic dispatch of distributed energy resources (DERs), and adaptive network reconfiguration under constrained conditions and during critical events that may necessitate decentralized network configurations in the wake of main grid failures. Validation conducted on the IEEE 123-node distribution network indicates that the optimized UDC framework achieves superior voltage and frequency regulation compared to conventional droop-based methods, ensuring optimal resource distribution and sustained load support.
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MDPI and ACS Style
Alao, A.B.; Adeyanju, O.M.; Chamana, M.; Bayne, S.; Bilbao, A.
Optimized Universal Droop Control Framework for Enhancing Stability and Resilience in Renewable-Dense Power Grids. Electronics 2025, 14, 2149.
https://doi.org/10.3390/electronics14112149
AMA Style
Alao AB, Adeyanju OM, Chamana M, Bayne S, Bilbao A.
Optimized Universal Droop Control Framework for Enhancing Stability and Resilience in Renewable-Dense Power Grids. Electronics. 2025; 14(11):2149.
https://doi.org/10.3390/electronics14112149
Chicago/Turabian Style
Alao, Agboola Benjamin, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, and Argenis Bilbao.
2025. "Optimized Universal Droop Control Framework for Enhancing Stability and Resilience in Renewable-Dense Power Grids" Electronics 14, no. 11: 2149.
https://doi.org/10.3390/electronics14112149
APA Style
Alao, A. B., Adeyanju, O. M., Chamana, M., Bayne, S., & Bilbao, A.
(2025). Optimized Universal Droop Control Framework for Enhancing Stability and Resilience in Renewable-Dense Power Grids. Electronics, 14(11), 2149.
https://doi.org/10.3390/electronics14112149
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