Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
<p dir="ltr">The widespread penetration of inverter-based resources has profoundly impacted the electrical stability of power systems (PSs). Deepening grid integration of photovoltaic and wind systems is introducing unforeseen uncertainties for the electricity sector. As a cutting-ed...
محفوظ في:
| المؤلف الرئيسي: | Mohamed Sadok Massaoudi (17984071) (author) |
|---|---|
| مؤلفون آخرون: | Haitham Abu-Rub (16855500) (author), Ali Ghrayeb (16864266) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
حسب: Mostafa M., Shibl
منشور في: (2023) -
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
حسب: Mohamed Massaoudi (16888710)
منشور في: (2024) -
Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
حسب: Mostafa M. Shibl (17821382)
منشور في: (2023) -
Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks
حسب: Mohamed Massaoudi (16888710)
منشور في: (2025) -
FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
حسب: Mohamed Massaoudi (16888710)
منشور في: (2024)