CRA led an innovative generation flexibility study for a major utility in MISO South. CRA developed a stochastic model for real time wind, solar, and load variability to assess generation flexibility need and then performed sub-hourly production cost modeling to assess adequacy of flexible generation to meet energy imbalances resulting from day ahead – real time net load forecast error.
CRA Sessions | Always on: Reliability in focus – Utility wildfire risk, are we turning a corner?
Dr. Wara is the Director of the Climate and Energy Policy Program at the Stanford Woods Institute for the Environment and the Senior Director of Policy and...