Research Theme

Microgrid Control and Energy Management

2025 - Present

ongoing
  • Microgrid Control
  • Reinforcement Learning
  • Energy Systems

Overview

Research Overview

Distributed control strategies for microgrids with renewable energy integration

Microgrid Control and Energy Management

Overview

Microgrids represent a paradigm shift in electrical power distribution, enabling integration of distributed renewable energy resources, energy storage systems, and controllable loads within localized networks. This research develops distributed control strategies for coordinating generation, storage, and consumption within microgrids, enabling reliable operation under diverse operating conditions and facilitating seamless integration with the main electrical grid.

Applications

  • Remote Communities: Microgrids enabling electricity access in isolated locations
  • Industrial Parks: Coordinated energy management for multiple consumers
  • University Campuses: Distributed generation and storage coordination
  • Disaster Resilience: Microgrids maintaining critical services during grid outages

Projects

Related Projects

RL-based Control of Microgrid

Sep 2025 – Dec 2025 � ongoing

Research on reinforcement learning-based control strategies for microgrid systems.

  • Python
  • Reinforcement Learning
  • Control Systems

View repository � public