Multi-Objective-Based Multi-Heterogeneous- Agent Deep Reinforcement Learning for Minimization of Voltage Deviation and Operation Cost in Active Distribution System

Multi-Objective-Based Multi-Heterogeneous- Agent Deep Reinforcement Learning for Minimization of Voltage Deviation and Operation Cost in Active Distribution System

The increasing penetration of renewable energy sources (RESs) has led to the proliferation of small-scale distributed energy resources (DERs) in modern power systems. Effective coordination of these DERs in active distribution systems benefits both utilities and consumers. This paper introduces a no...

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Bibliographic Details
Main Authors: Anurak Deanseekeaw, Watcharakorn Pinthurat, Boonruang Marungsri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multi-agent deep reinforcement learning
microgrid
voltage control
operation cost reduction
battery energy storage system
diesel generator
Online Access:https://ieeexplore.ieee.org/document/10979328/
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