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.
Weathering the storm: Utility resource planning in the face of weather-driven reliability risks
The authors assessed how modeling different weather year scenarios in capacity expansion planning can impact resource investment decisions and the resulting...