Research Projects

Smart Grids and Demand Side Management

Dr. Thillainathan Logenthiran’s research focuses primarily on smart grid technologies, especially in the area of demand side management (DSM) through intelligent automation. His work includes the development of multi-agent system (MAS) architectures to enable real-time operation of microgrids and decentralized energy systems. These MAS platforms support coordination between distributed energy resources (DERs), prosumers, and utility operators to improve grid reliability and flexibility. Real-time digital simulation environments are used to test and optimize these systems, helping to manage peak demand, reduce operational costs, and increase the resilience of power networks.

Artificial Intelligence and Computational Intelligence

Dr. Logenthiran has been an early contributor to applying artificial intelligence techniques to power system management. His models utilize neural networks, fuzzy logic, and evolutionary algorithms for tasks such as load forecasting, system diagnostics, and real-time control. By using particle swarm optimization (PSO) and genetic algorithms (GA), he enhances decision-making processes for energy storage, distributed generation, and smart energy scheduling.

Renewable Energy Integration and Power Electronics

His research also addresses the challenges of integrating renewable energy sources like solar and wind into traditional power systems. This includes work on power electronic converters such as bidirectional inverters and DC-DC controllers, which help stabilize voltage and frequency in systems with high levels of renewable penetration. He also investigates solutions for power quality, power flow control, and switching strategies between grid-connected and islanded micro grid modes.

IoT, Sensor Networks, and Intelligent Energy Systems

Dr. Logenthiran's team applies Internet of Things (IoT) technologies and sensor networks to support smart grids and intelligent building energy systems. Real-time data collected through sensors helps optimize decision-making related to load patterns, voltage levels, and system faults. This allows for the development of adaptive, cyber-physical systems capable of responding to changes in operational conditions.

Electric Vehicles and Smart Charging

He has also contributed to research in electric vehicle (EV) integration with the power grid, including vehicle-to-grid (V2G) systems and AI-based charging management. These systems enable EVs to act as mobile energy storage and support grid stability. His decentralized energy management frameworks align EV charging with dynamic pricing and grid conditions, improving load balancing and reducing peak load stress.

Wireless Charging and Power Electronics

Dr. Logenthiran’s research in wireless power transfer (WPT) includes inductive charging technologies and power electronics control systems. This work supports applications in contactless EV charging and portable electronics, with a focus on system-level efficiency, resonant converters, and integration with home and grid power networks.

Smart Grid Awareness and Consumer Engagement

In addition to technical research, Dr. Logenthiran is involved in educational outreach to improve public awareness of smart grid technologies. He has developed interactive tools and board games that explain grid operations, dynamic pricing, and the role of energy consumers and prosumers in a future energy landscape. These tools aim to encourage broader participation and understanding among the general public.