Guan to Study Smart Grids Utilizing Renewable Energy through NSF Grant
ARLINGTON, VA: Dr. Yongpei Guan, Associate Professor of Industrial and Systems Engineering, received a grant from the National Science Foundation (NSF) to study energy systems. The proposal, entitled “Chance-Constrained and Robust Optimization for Power Systems with Intermittent Renewable Generation,” was funded by the Energy, Power and Adaptive Systems Program in the Division of Electrical, Communications and Cyber Systems in the Engineering Directorate. According to the award’s abstract, “the objective of this project is to discover robust and cost efficient power generation scheduling, in order to maintain a smart and secure power grid while ensuring high utilization of renewable energy.” Dr. Guan will use stochastic programming methodologies in his work. The grant provides funding of roughly $230,000 over three years.