Renewable integration studies have evaluated many challenges associated with deploying large amounts of variable wind and solar generation. Using production cost modeling software, these studies have evaluated the operational impacts associated with variable generation, benefits of improved wind and solar resource forecasting, and trade-offs among institutional changes. However, these types of studies have not yet considered how markets function by means of the interactions among strategic entities that compete to supply energy to the marketplace. These limitations can be overcome by using agent-based modeling approaches.
During this presentation, an overview of NREL’s integration studies will be given highlighting the modeling tools and assumptions used to perform these analyses. Also included, some initial results for NREL’s agent-based modeling framework (ARES) for electricity market modeling studies.