Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations

Understand

Day-ahead operations involves a complex and computationally intensive optimization process to determine the generator commitment schedule and dispatch.

• The optimization process is a mixed-integer linear program (MILP) also known as security-constrained unit commitment (SCUC).
• Independent system operators (ISOs) run SCUC daily and require state-of-the-art algorithms to speed up the process.
• Existing patterns in historical information can be leveraged for model reduction of SCUC, which can provide significant time savings.