Energy Systems and Grid Modernization

Our projects focus on multi-motor systems, quantitative robust control methodologies, high precision tracking and more. For example, we’re working to advance and improve the efficiency and reliability of wind turbines under any environmental condition.

Our researchers have developed advanced nonlinear robust control solutions for wind turbines and wind farms. The mechanical and electrical subsystems require new control strategies to improve the availability of the machines, with the goal of regulating the electrical variables and optimizing the power quality at the grid connection.

We’re also achieving out of this world results in research by improving the control of telescopes. Our researchers have designed a new nonlinear and robust multi-input multi-output control methodology to design high-performance servo systems for extremely large telescopes and antennas.

The methodology for the project was validated experimentally through the Giant Meterwave Radio Telescope, National Centre for Radio Astrophysics, Tata Institute of Fundamental Research, India.

 

Labs and Facilities

  • Dynamics and Control Laboratory
  • ECSE Undergraduate Computer Lab
  • Process Control Laboratory
  • Siemens Digital Grid Laboratory

Institutes, centers and labs related to Energy Systems and Grid Modernization

Center for Control and Energy Systems

Develops advanced control engineering solutions for renewable energy, wind turbines, power systems, water treatment plants, radio telescopes, spacecraft and industrial applications.

Faculty who conduct research in Energy Systems and Grid Modernization

Vira Chankong

Associate Professor, Department of Electrical, Computer and Systems Engineering
Develops rapid learning and optimization methods for intensity modulated radiation therapy, and develops new paradigm for combinatorial optimization

Mario Garcia-Sanz

Professor, Department of Electrical, Computer and Systems Engineering
Bridges the gap between advanced control theory and energy, industrial and space applications

Wei Lin

Professor, Department of Electrical, Computer and Systems Engineering
Researches nonlinear control, time-delay systems, adaptive control, stochastic stability/control with applications to renewable energy, power systems and smart grid.

Kenneth Loparo

Professor Emeritus, Department of Electrical, Computer and Systems Engineering
Co-Director, Internet of Things Collaborative (IOTC)
Develop real-time data analytics and control algorithms for industrial, energy and physiological systems