Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Xiaodi, Zhang, Meng, Wu, Zhengguang, Wu, Ligang, Guan, Xiaohong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026)
by: Pu, Zhenyu, et al.
Published: (2026)
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025)
by: Meng, Bo, et al.
Published: (2025)
Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
by: Wang, Shuyi, et al.
Published: (2024)
by: Wang, Shuyi, et al.
Published: (2024)
End-to-End Learning-based Operation of Integrated Energy Systems for Buildings and Data Centers
by: Pu, Zhenyu, et al.
Published: (2026)
by: Pu, Zhenyu, et al.
Published: (2026)
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
by: Reiter, Rudolf, et al.
Published: (2024)
by: Reiter, Rudolf, et al.
Published: (2024)
Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
by: Bai, Ningwei, et al.
Published: (2025)
by: Bai, Ningwei, et al.
Published: (2025)
A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning Approach
by: Peng, Xianyue, et al.
Published: (2025)
by: Peng, Xianyue, et al.
Published: (2025)
Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems
by: Siddique, Umer, et al.
Published: (2024)
by: Siddique, Umer, et al.
Published: (2024)
Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
by: Fivel, Oren, et al.
Published: (2025)
by: Fivel, Oren, et al.
Published: (2025)
Nonlinear Control Allocation: A Learning Based Approach
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)
by: Mandal, Udayan, et al.
Published: (2024)
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
by: Zhang, Harry
Published: (2024)
by: Zhang, Harry
Published: (2024)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)
by: Wang, Xuefeng, et al.
Published: (2024)
Deep Dictionary-Free Method for Identifying Linear Model of Nonlinear System with Input Delay
by: Valábek, Patrik, et al.
Published: (2025)
by: Valábek, Patrik, et al.
Published: (2025)
Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
by: Wu, Yinyu, et al.
Published: (2024)
by: Wu, Yinyu, et al.
Published: (2024)
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
by: Arango, Camilo Gonzalez, et al.
Published: (2025)
by: Arango, Camilo Gonzalez, et al.
Published: (2025)
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)
by: Bertsekas, Dimitri P.
Published: (2024)
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
by: Jüni, Colin, et al.
Published: (2026)
by: Jüni, Colin, et al.
Published: (2026)
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
by: Lin, Runze, et al.
Published: (2026)
by: Lin, Runze, et al.
Published: (2026)
Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia
by: Feng, Jie, et al.
Published: (2024)
by: Feng, Jie, et al.
Published: (2024)
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
by: Nesti, Federico, et al.
Published: (2025)
by: Nesti, Federico, et al.
Published: (2025)
Meta-Reinforcement Learning for Building Energy Management System
by: Zhang, Huiliang, et al.
Published: (2022)
by: Zhang, Huiliang, et al.
Published: (2022)
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
by: Gao, Guanyu, et al.
Published: (2019)
by: Gao, Guanyu, et al.
Published: (2019)
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks
by: Yang, Xu, et al.
Published: (2024)
by: Yang, Xu, et al.
Published: (2024)
Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)
by: Zhang, Yan, et al.
Published: (2025)
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
by: Mohammadi, Esmaeel, et al.
Published: (2024)
by: Mohammadi, Esmaeel, et al.
Published: (2024)
Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Diffusion Model-based Parameter Estimation in Dynamic Power Systems
by: Zhu, Feiqin, et al.
Published: (2024)
by: Zhu, Feiqin, et al.
Published: (2024)
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
by: Airaldi, Filippo, et al.
Published: (2023)
by: Airaldi, Filippo, et al.
Published: (2023)
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
by: Mete, Akshay, et al.
Published: (2026)
by: Mete, Akshay, et al.
Published: (2026)
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
by: Cheng, Lu, et al.
Published: (2025)
by: Cheng, Lu, et al.
Published: (2025)
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
by: Francis, Lawrence, et al.
Published: (2024)
by: Francis, Lawrence, et al.
Published: (2024)
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks
by: Liu, Qiong, et al.
Published: (2024)
by: Liu, Qiong, et al.
Published: (2024)
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
by: Sabouni, Ehsan, et al.
Published: (2024)
by: Sabouni, Ehsan, et al.
Published: (2024)
Modelling, Positioning, and Deep Reinforcement Learning Path Tracking Control of Scaled Robotic Vehicles: Design and Experimental Validation
by: Caponio, Carmine, et al.
Published: (2024)
by: Caponio, Carmine, et al.
Published: (2024)
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
by: Lichtlé, Nathan, et al.
Published: (2024)
by: Lichtlé, Nathan, et al.
Published: (2024)
Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning
by: Srinivasa, Tanay Raghunandan, et al.
Published: (2026)
by: Srinivasa, Tanay Raghunandan, et al.
Published: (2026)
cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
by: Yang, Tao, et al.
Published: (2024)
by: Yang, Tao, et al.
Published: (2024)
Similar Items
-
Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026) -
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025) -
Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
by: Wang, Shuyi, et al.
Published: (2024) -
End-to-End Learning-based Operation of Integrated Energy Systems for Buildings and Data Centers
by: Pu, Zhenyu, et al.
Published: (2026) -
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
by: Reiter, Rudolf, et al.
Published: (2024)