Our Mission

We strive to create forward-thinking power and energy systems that effectively incorporate new technologies, distributed energy resources, and sophisticated grid innovations. Our focus on building resilient, sustainable, and efficient systems allows us to develop adaptable solutions for today's changing energy environment.

CynergyX Research Lab leads groundbreaking research that advances both practical applications and fundamental knowledge in energy and power engineering. Our diverse project portfolio spans renewable energy integration, smart grid technologies, energy storage solutions, and advanced control systems.

Main Research Focus Areas

Cyber-Physical Systems Security

Protecting critical energy infrastructure from cyber threats while ensuring system reliability and resilience. This includes developing advanced detection algorithms and robust control mechanisms.

HVDC Transmission Systems

Cutting-edge research in High Voltage Direct Current (HVDC) transmission systems focuses on advanced control strategies, innovative power converter design, and the dynamic interaction between HVDC links and AC grids. By integrating modeling, simulation, and real-time validation, we aim to support the seamless adoption of HVDC technology in modern grids and cross-border networks—supporting a more flexible, efficient, and resilient energy future.

Energy Storage Systems

Researching advanced battery technologies, flywheel storage, and other solutions to enable higher penetration of renewable energy in the grid. This includes looking into new materials, management systems, and grid integration techniques for various types of energy storage, ensuring they are cost-effective, environmentally sound, and reliable for large-scale deployment and long-term operation for enhanced grid stability.

Smart Grid Technologies

Developing intelligent systems for modern power grids that can self-heal, optimize performance, and integrate renewable energy sources efficiently. This involves advanced metering infrastructure (AMI), distribution automation, demand-side management, and the use of AI and machine learning for predictive maintenance, fault detection, and load forecasting. The goal is to create a more robust, flexible, and efficient electricity grid for the future, ensuring energy security and sustainability.