Abstract
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Jabala Nur Fahima, Kayes Hasan, Md. Rifat Hazari, Shameem Ahmad, Chowdhury Akram Hossain, Mohammad Abdul Mannan, Emanuele Ogliari
Abstract
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Reactive power implications of penetrating inverter-based renewable and storage resources in future grids toward energy transition—A review
2025
Stability-improved repetitive control for inverters considering PLLs under weak grid conditions
10.1007/s43236-024-00925-y · 2025
Transient stability enhancement of a grid-connected large-scale PV system using fuzzy logic controller
10.3390/electronics10192437 · 2021
A comprehensive review of multi-level inverters, modulation, and control for grid-interfaced solar PV systems
10.1038/s41598-024-84296-1 · 2025
A novel two-level deep reinforcement learning enabled game approach for incentive-based distributed voltage regulation with participation of autonomous photovoltaic inverters
10.1016/j.energy.2025.135934 · 2025
Safe reinforcement learning for power system control: A review
10.1016/j.rser.2025.116022 · 2025
Impact of phase-locked loop on grid-connected inverter stability under weak grid conditions and suppression measures
10.1016/j.compeleceng.2025.110249 · 2025
Frequency-domain small-signal stability analysis methods for grid-following converters systems—An overview
10.1016/j.rser.2024.115283 · 2025
Provenance
crossref
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Confidence 99%
openalex
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datacite
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Small-signal stability in renewable-dominated grids: A comparative analysis of GFL and GFM storage for clustered PV mitigation
10.3389/fenrg.2025.1691710 · 2025
Fuzzy Logic-Based LVRT Enhancement in Grid-Connected PV System for Sustainable Smart Grid Operation: A Unified Approach for DC-Link Voltage and Reactive Power Control
10.3390/su18052448 · 2026
Enhanced ADRC With Selection Mechanism-Based PRC-ESO for Single-Phase Grid-Tied Inverters in a Weak Grid
2025
Deep Reinforcement Learning Based Control of a Grid Connected Inverter With LCL-Filter for Renewable Solar Applications
10.1109/access.2024.3364058 · 2024
Deep reinforcement learning for optimizing inverter control with fixed and adaptive gain tuning strategies for power system stability
10.1109/tsg.2025.3604554 · 2025
Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles
10.1109/access.2024.3396449 · 2024
Reinforcement Q-learning based current control for grid-connected three-phase inverters with unknown system dynamics
2022
Reinforcement learning-based control study of three-phase LCL-type photovoltaic grid-connected inverter
2023
Three-stage inverter-based peak shaving and Volt-VAR control in active distribution networks using online safe deep reinforcement learning
10.1109/tsg.2022.3166192 · 2022
10.1109/tste.2024.3376369
10.1109/tste.2024.3376369
Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
2025
A review on the applications of reinforcement learning control for power electronic converters
10.1109/tia.2024.3435170 · 2024
Challenges in smartizing operational management of functionally-smart inverters for distributed energy resources: A review on machine learning aspects
10.3390/en16031330 · 2023
Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems
10.1038/s41598-025-09507-9 · 2025
Deep Reinforcement Learning Enabled Inverters: Strengthening RES Integration in Grids With Electric Arc Furnaces
10.1109/tia.2024.3462918 · 2024
Reinforcement Learning-Based Adaptation of Grid Following Inverter's Internal Controller to Networked Microgrids' Strengths
10.1049/stg2.70039 · 2025
Navigating the landscape of deep reinforcement learning for power system stability control: A review
10.1109/access.2023.3337118 · 2023
Reinventing power quality enhancement: deep reinforcement learning control for PV-UPQC in microgrids
10.1007/s00202-024-02778-x · 2025
Reinforcement Learning-Based Control of Voltage-Forming Grid Inverters With Arbitrary Loads
10.1109/jestie.2026.3654784 · 2026
Safe reinforcement learning for grid-forming inverter based frequency regulation with stability guarantee
10.35833/mpce.2023.000882 · 2024
Two-stage three-phase photovoltaic grid-connected inverter control method based on off-policy integral reinforcement learning
10.1016/j.conengprac.2025.106313 · 2025
Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications
10.1109/access.2024.3504735 · 2024
Deep Reinforcement Learning for Power Converter Control: A Comprehensive Review of Applications and Challenges
10.1109/ojpel.2025.3619673 · 2025
A novel reinforcement learning algorithm-based control strategy for grid-configured inverters
10.3390/en18030597 · 2025
A novel reinforcement learning algorithm-based control strategy for grid-configured inverters
10.3390/en18030597 · doi-reference
Deep Reinforcement Learning for Power Converter Control: A Comprehensive Review of Applications and Challenges
10.1109/ojpel.2025.3619673 · doi-reference
Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications
10.1109/access.2024.3504735 · doi-reference
Two-stage three-phase photovoltaic grid-connected inverter control method based on off-policy integral reinforcement learning
10.1016/j.conengprac.2025.106313 · doi-reference
Safe reinforcement learning for grid-forming inverter based frequency regulation with stability guarantee
10.35833/mpce.2023.000882 · doi-reference
Reinforcement Learning-Based Control of Voltage-Forming Grid Inverters With Arbitrary Loads
10.1109/jestie.2026.3654784 · doi-reference
Reinventing power quality enhancement: deep reinforcement learning control for PV-UPQC in microgrids
10.1007/s00202-024-02778-x · doi-reference
Navigating the landscape of deep reinforcement learning for power system stability control: A review
10.1109/access.2023.3337118 · doi-reference
Reinforcement Learning-Based Adaptation of Grid Following Inverter's Internal Controller to Networked Microgrids' Strengths
10.1049/stg2.70039 · doi-reference
Deep Reinforcement Learning Enabled Inverters: Strengthening RES Integration in Grids With Electric Arc Furnaces
10.1109/tia.2024.3462918 · doi-reference
Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems
10.1038/s41598-025-09507-9 · doi-reference
Challenges in smartizing operational management of functionally-smart inverters for distributed energy resources: A review on machine learning aspects
10.3390/en16031330 · doi-reference
A review on the applications of reinforcement learning control for power electronic converters
10.1109/tia.2024.3435170 · doi-reference
10.1109/tste.2024.3376369
10.1109/tste.2024.3376369 · doi-reference
Three-stage inverter-based peak shaving and Volt-VAR control in active distribution networks using online safe deep reinforcement learning
10.1109/tsg.2022.3166192 · doi-reference
Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles
10.1109/access.2024.3396449 · doi-reference
Deep reinforcement learning for optimizing inverter control with fixed and adaptive gain tuning strategies for power system stability
10.1109/tsg.2025.3604554 · doi-reference
Deep Reinforcement Learning Based Control of a Grid Connected Inverter With LCL-Filter for Renewable Solar Applications
10.1109/access.2024.3364058 · doi-reference
Fuzzy Logic-Based LVRT Enhancement in Grid-Connected PV System for Sustainable Smart Grid Operation: A Unified Approach for DC-Link Voltage and Reactive Power Control
10.3390/su18052448 · doi-reference
Small-signal stability in renewable-dominated grids: A comparative analysis of GFL and GFM storage for clustered PV mitigation
10.3389/fenrg.2025.1691710 · doi-reference
Frequency-domain small-signal stability analysis methods for grid-following converters systems—An overview
10.1016/j.rser.2024.115283 · doi-reference
Impact of phase-locked loop on grid-connected inverter stability under weak grid conditions and suppression measures
10.1016/j.compeleceng.2025.110249 · doi-reference
Safe reinforcement learning for power system control: A review
10.1016/j.rser.2025.116022 · doi-reference
A novel two-level deep reinforcement learning enabled game approach for incentive-based distributed voltage regulation with participation of autonomous photovoltaic inverters
10.1016/j.energy.2025.135934 · doi-reference
A comprehensive review of multi-level inverters, modulation, and control for grid-interfaced solar PV systems
10.1038/s41598-024-84296-1 · doi-reference
Transient stability enhancement of a grid-connected large-scale PV system using fuzzy logic controller
10.3390/electronics10192437 · doi-reference
Stability-improved repetitive control for inverters considering PLLs under weak grid conditions
10.1007/s43236-024-00925-y · doi-reference