Adaptive Control for Virtual Synchronous Generator Parameters Based on Soft Actor Critic

Adaptive Control for Virtual Synchronous Generator Parameters Based on Soft Actor Critic

This paper introduces a model-free optimization method based on reinforcement learning (RL) aimed at resolving the issues of active power and frequency oscillations present in a traditional virtual synchronous generator (VSG). The RL agent utilizes the active power and frequency response of the VSG...

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Bibliographic Details
Main Authors: Chuang Lu, Xiangtao Zhuan
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
reinforcement learning
soft actor critic
virtual synchronous generator
virtual inertia
damping coefficient
adaptive control
Online Access:https://www.mdpi.com/1424-8220/24/7/2035

Internet

https://www.mdpi.com/1424-8220/24/7/2035

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