ECE Professor G. Kumar Venayagamoorthy has received a $180,000 grant from the National Science Foundation to develop advanced computational intelligence methods to monitor, optimize and control large areas of a power network. His research project, Computational Intelligence Methods for Dynamic Stochastic Optimization of Smart Grid Operation with High Penetration of Renewable Energy, will include solar farms and wind farms, and controllable network transformers to ensure optimum usage of these resources.
The behavior of renewable energy sources is uncertain and variable, and it is difficult for current static optimization methods to efficiently utilize these energy resources in a smart grid power system. Venayagamoorthy's project proposes a novel controller to develop a real-time dynamic stochastic optimization smart grid engine. His research uses advanced intelligent methods such as the biologically inspired artificial neural network and smart devices to provide better identification and control capabilities for implementation of optimal power flows. These advances will help make economically operated, reliable and secure power systems, and hence, accommodate renewable energy sources.
Prior to joining Clemson University as the Duke Energy Distinguished Professor of Electrical and Computer Engineering, he was a Professor of Electrical and Computer Engineering at Missouri University of Science and Technology. He is the Founder and Director of the Real-Time Power and Intelligent Systems Laboratory (http://rtpis.org). Over the last fifteen years, Professor Venayagamoorthy’s research contributions have primarily emphasized on the development and implementation of advanced computational methods for smart grid applications.