Voltage Control

Voltage control in power systems aims to maintain stable voltage levels, ensuring efficient and reliable operation, especially crucial with the increasing integration of renewable energy sources. Current research heavily utilizes multi-agent reinforcement learning (MARL), often incorporating transformer networks or other deep learning architectures, to address the challenges of decentralized control and dynamic load fluctuations. These advanced methods focus on improving scalability, safety constraints, and sample efficiency while leveraging both data-driven and physics-informed approaches. The resulting improvements in voltage regulation have significant implications for grid stability and the wider adoption of renewable energy technologies.