Deep decarbonization of the electric power sector is essential and urgent to combat climate change. This talk focuses on leveraging the substantial resources from vast end-users on the demand side to decarbonize electric power systems, which encompasses two main parts: demand-side carbon accounting and decarbonization decision-making. Firstly, this talk will introduce the basics of carbon emission accounting in power systems and discuss the application of carbon emission flow for demand-side carbon accounting. Then, this talk will present a generic Carbon-aware Optimal Power Flow (C-OPF) method for power system decision-making that considers demand-side carbon accounting and emission management. Built upon the classic optimal power flow (OPF) model, the C-OPF method incorporates carbon emission flow equations and constraints, as well as carbon-related objectives, to jointly optimize power flow and carbon flow. Several key use cases and promising future directions will be discussed as well.
This webinar was held at 3:00 P.M. CST on November 29, 2023.
The presentation slides are available here.
Speaker:
Dr. Xin Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University. Prior to joining TAMU, he was a Postdoctoral Associate affiliated with MIT Energy Initiative at Massachusetts Institute of Technology. He received the Ph.D. degree in electrical engineering from Harvard University, the Master’s degree in electrical engineering and two bachelor’s degrees in engineering and economics from Tsinghua University. Dr. Chen is a recipient of the IEEE PES Outstanding Doctoral Dissertation, the Best Research Award at the 2023 IEEE PES Grid Edge Conference, the Outstanding Student Paper Award at the 2021 IEEE Conference on Decision and Control, the Best Student Paper Award Finalist at the 2018 IEEE Conference on Control Technology and Applications, and the Best Conference Paper Award at the 2016 IEEE PES General Meeting.
More about Dr. Chen’s research can be found here.