A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies

The increasing penetration of renewable and distributed energy resources presents significant challenges for voltage regulation in modern power distribution systems. Traditional optimization-based controllers often fail to deliver reliable performance under real-time constraints and high system unce...

Full description

Bibliographic Details

Published in:	e-Prime: Advances in Electrical Engineering, Electronics and Energy
Main Authors:	Elham Nazari, Negar Nazari, Samaneh Hosseini Semnani, Mohammad Reza Ahmadzadeh
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Multi-agent reinforcement learning algorithms Particle swarm optimization Power grid Active voltage control Renewable energies
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772671125001822