Program

The 3.5-hour workshop will begin with a general introduction and an overview of the key challenges and opportunities in carbon emission accounting and low-carbon power systems planning and optimization. 

Outline

1. Carbon Tracing and Measuring in Power Grids

2. Emission-Aware Grid Dispatch

3. Leveraging New Technologies for Low-Carbon Grid Planning and Operation

4. Programming and Practical Experiences for Carbon-Centric Power Systems Tasks

Part 1: Emission Modeling in Power Grids

9:00-9:30 Xin Chen (TAMU), Introduction to Power Grid Emissions and Carbon Emission Flow Modeling

9:30-10:00 Yuanyuan Shi (UC San Diego), Carbon Emission Flow Tracing: Fast Algorithms and California Study

Part 2: Emission-Guided Decision Making in Power Systems

10:10-10:35, Xin Chen (TAMU), Carbon-Aware Optimal Power Flow

10:35-11:00, Yize Chen (U of Alberta), Learning to Forecast and Plan for Low-Carbon Power Networks

11:00-11:25, Line Roald (UW-Madison), Empowering carbon-sensitive electric loads to reduce emissions

Part 3: Tools, Algorithms and Coding for Emission in Power Systems

11:35-12:00, Hao Zhu (UT Austin), PGLib-CO2: A Power Grid Library for Computing and Optimizing Carbon Emissions

12:00-12:25, Yize Chen (U of Alberta), Interactive Coding Session for Carbon-aware Modeling and Optimization in Power Grids

Part 1: Towards Carbon-Free Electricity: Granular Carbon Accounting in Power Grids, Prof. Xin Chen (TAMU)

Part 1: Carbon Emission Flow Tracing: Fast Algorithms and California Grid Study, Prof. Yuanyuan Shi (UCSD)

Part 2: Towards Carbon-Free Electricity: Carbon-Aware Optimal Power Flow (C-OPF), Prof. Xin Chen (TAMU)

Part 2: Learning to Forecast and Plan for Low-Carbon Power Networks, Prof. Yize Chen (UAlberta)

Part 2: Empowering Carbon-Sensitive Electric Loads to Reduce Emissions, Prof. Line A. Roald (UW-Madison)

Part 3: PGLib-CO2: A Power Grid Library for Computing and Optimizing Carbon Emissions, Prof. Hao Zhu (UT Austin)

Part 3: Interactive Coding Session for Carbon-aware Modeling and Optimization in Power Grids, Prof. Yize Chen (UAlberta)