A corrective control framework for mitigating voltage fluctuations and congestion in distribution networks with high renewable energy penetration
The increasing integration of renewable energy sources into distribution networks introduces challenges such as voltage fluctuations and network congestion, complicating stable and efficient power delivery. To address these issues, we propose a model predictive control-based corrective control frame...
Saved in:
Main Authors: | Tongmao Zhang, Xiao Wang, Alessandra Parisio |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-04-01
|
Series: | International Journal of Electrical Power & Energy Systems |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525000596 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A congestion prediction method based on trajectory mining algorithm
by: Liu Dongjiang, et al.
Published: (2025-01-01) -
Assessing Mitigation Strategies to Reduce Potential Exposures to Indoor Particle Release Events
by: Katie Van Valkinburgh, et al.
Published: (2022-07-01) -
SACWOM: Synergistic Adaptive Congestion Window Optimization Mechanism for Self-Clocked Algorithm
by: Haider Dhia Zubaydi, et al.
Published: (2025-01-01) -
State of health estimation of individual batteries through incremental curve analysis under parameter uncertainty
by: Yue Zhao, et al.
Published: (2024-12-01) -
Highly robust co‐estimation of state of charge and state of health using recursive total least squares and unscented Kalman filter for lithium‐ion battery
by: Xiaohui Li, et al.
Published: (2024-12-01)