Copertina

Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Das, Shuvangkar Chandra, Vu, Tuyen, Ramasubramanian, Deepak, Farantatos, Evangelos, Zhang, Jianhua, Ortmeyer, Thomas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Survey on IBR Penetrated Power System Stability Analysis Using Frequency Scanning
di: Das, Shuvangkar Chandra, et al.
Pubblicazione: (2025)

A Robust Solver for Phasor-Domain Short-Circuit Analysis with Inverter-Based Resources
di: Haddadi, Aboutaleb, et al.
Pubblicazione: (2024)

Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach
di: Anam, Md Isfakul, et al.
Pubblicazione: (2024)

Multi-agent Deep Reinforcement Learning for Distributed Load Restoration
di: Vu, Linh, et al.
Pubblicazione: (2023)

Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges
di: Varghese, Antos Cheeramban, et al.
Pubblicazione: (2022)

Physics-informed Graphical Neural Network for Power System State Estimation
di: Ngo, Quang-Ha, et al.
Pubblicazione: (2023)

On the regularity of Dirac eigenfunctions
di: Vu, Tuyen
Pubblicazione: (2023)

Spectral properties of two-dimensional half-space semi-Dirac semi-metals
di: Vu, Tuyen
Pubblicazione: (2024)

A Cyber-HIL for Investigating Control Systems in Ship Cyber Physical Systems under Communication Issues and Cyber Attacks
di: Vu, Linh, et al.
Pubblicazione: (2023)

A Multi-Area Architecture for Real-Time Feedback-Based Optimization of Distribution Grids
di: Farhat, Ilyas, et al.
Pubblicazione: (2024)

Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
di: Wang, Shigeng, et al.
Pubblicazione: (2026)

Control and Protection of 100% Inverter-based Power Systems
di: Mahr, Florian
Pubblicazione: (2025)

Synchronous Condensers: Enhancing Stability in Power Systems with Grid-Following Inverters
di: Sajadi, Amir, et al.
Pubblicazione: (2026)

Symbiotic Control of Uncertain Dynamical Systems: Harnessing Synergy Between Fixed-Gain Control and Adaptive Learning Architectures
di: Yucelen, Tansel, et al.
Pubblicazione: (2024)

Fixed‐Time Stability and Control for Stochastic Nonlinear Systems Based on Finite Time‐Varying Gain Functions
di: Huifang Min, et al.
Pubblicazione: (2025)

Residual Deep Reinforcement Learning for Inverter-based Volt-Var Control
di: Liu, Qiong, et al.
Pubblicazione: (2024)

Large-Signal Stability of Power Systems with Mixtures of GFL, GFM and GSP Inverters
di: Zhang, Yifan, et al.
Pubblicazione: (2025)

High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning
di: Golgol, Mohammad, et al.
Pubblicazione: (2023)

Composite Control of Grid-Following Inverters for Stabilizing AI-Induced Fast Power Disturbances
di: Kosanic, Miroslav, et al.
Pubblicazione: (2026)

Adaptive Denoising via GainTuning
di: Mohan, Sreyas, et al.
Pubblicazione: (2021)

On MIMO Stability Analysis Methods Applied to Inverter-Based Resources Connected to Power Systems
di: Stoorvogel, Anton A., et al.
Pubblicazione: (2025)

Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study
di: Krajacic, Jovan, et al.
Pubblicazione: (2025)

Data Generation for Stability Studies of Power Systems with High Penetration of Inverter-Based Resources
di: Rossi, Francesca, et al.
Pubblicazione: (2025)

Gain and Phase: Decentralized Stability Conditions for Power Electronics-Dominated Power Systems
di: Huang, Linbin, et al.
Pubblicazione: (2023)

Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control
di: Timmerman, Mike, et al.
Pubblicazione: (2024)

Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems
di: Ngo, Quang-Ha, et al.
Pubblicazione: (2024)

Small-Signal Stability Condition of Inverter-Integrated Power Systems: Closed-Form Expression by Stationary Power Flow Variables
di: Nishino, Taku, et al.
Pubblicazione: (2025)

Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
di: Shianifar, Jonaid, et al.
Pubblicazione: (2024)

A Novel Inverter Control Strategy with Power Decoupling for Microgrid Operations in Grid-Connected and Islanded Modes
di: Tong, Yan, et al.
Pubblicazione: (2025)

Integral Sliding Mode‐Composite Nonlinear Feedback Control Strategy for Microgrid Inverter Systems
di: Ye Zhang, et al.
Pubblicazione: (2024)

Anisotropic Virtual Gain and Large Tuning of Particles' Scattering by Complex-Frequency Excitations
di: Zouros, Grigorios P., et al.
Pubblicazione: (2023)

Safety Control of Impulsive Systems with Control Barrier Functions and Adaptive Gains
di: Liu, Zihan, et al.
Pubblicazione: (2025)

Power Quality Management of Inverter Based on Gradient Descent Optimization
di: Changbin Hu, et al.
Pubblicazione: (2024)

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller
di: Man‐Wen Tian, et al.
Pubblicazione: (2026)

Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks
di: Liu, Qiong, et al.
Pubblicazione: (2024)

Advanced Control Strategy to Compensate Power Sharing Error and DC Circulating Current in Parallel Single-Phase Inverters
di: Trinh, Quoc Nam, et al.
Pubblicazione: (2024)

Reverse isoperimetric inequality for the lowest Robin eigenvalue of a triangle
di: Krejcirik, David, et al.
Pubblicazione: (2022)

A representation theorem for set-valued submartingales
di: Tuyen, Luc Tri, et al.
Pubblicazione: (2023)

Distributed Coordination of Grid-Forming and Grid-Following Inverters for Optimal Frequency Control in Power Systems
di: Wang, Xiaoyang, et al.
Pubblicazione: (2024)

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
di: Ramasubramanian, Shrinivas, et al.
Pubblicazione: (2024)