Reactive Power Control for Fast-Acting Voltage Regulation of Distributed Wind Turbines Using Reinforcement Learning

Jimenez-Aparicio, Miguel; Darbali-Zamora, Rachid

doi:10.1109/kpec58008.2023.10215464

2023 IEEE Kansas Power and Energy Conference (KPEC) 2023

DOI: 10.1109/kpec58008.2023.10215464

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Reactive Power Control for Fast-Acting Voltage Regulation of Distributed Wind Turbines Using Reinforcement Learning

Miguel Jimenez-Aparicio,

Rachid Darbali-Zamora

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Cited by 3 publications

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Development of a Wind Turbine Generator Volt-Var Curve Control for Voltage Regulation Using Power Hardware-in-the-Loop

Darbali-Zamora,

Berg

2023

2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA)

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Development of a Wind Turbine Generator Volt-Var Curve Control for Voltage Regulation Using Power Hardware-in-the-Loop

Darbali-Zamora,

Berg

2023

2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA)

View full text Add to dashboard Cite

Cooperative Multi-Agent Reinforcement Learning Method for Fast Voltage Regulation using Distributed Wind Turbine Generators

Jimenez-Aparicio,

Darbali-Zamora

2023

2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA)

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Increasing the Penetration of Distributed Wind in an Isolated Microgrid Through Data-driven Frequency Regulation using Reinforcement Learning

Jimenez-Aparicio,

Darbali-Zamora

2024

2024 IEEE Kansas Power and Energy Conference (KPEC)

View full text Add to dashboard Cite

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Reactive Power Control for Fast-Acting Voltage Regulation of Distributed Wind Turbines Using Reinforcement Learning

Cited by 3 publications

References 20 publications

Development of a Wind Turbine Generator Volt-Var Curve Control for Voltage Regulation Using Power Hardware-in-the-Loop

Development of a Wind Turbine Generator Volt-Var Curve Control for Voltage Regulation Using Power Hardware-in-the-Loop

Cooperative Multi-Agent Reinforcement Learning Method for Fast Voltage Regulation using Distributed Wind Turbine Generators

Increasing the Penetration of Distributed Wind in an Isolated Microgrid Through Data-driven Frequency Regulation using Reinforcement Learning

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