Robust Renewable Energy Resource Planning and Operations In Electric Transmission Grids

We consider a multi-period two-stage robust optimization model for renewable energy resource planning and operations in electric transmission grids. In the first stage, we model the planning decisions, including the initial set-point for controllable generators, the switching decisions in a multipleperiod horizon, battery installation, and renewable resource expansion. After the planning decisions are made, the adversary can select the worst-case demand and renewable generation within a budgeted uncertainty set. The second-stage problem contains the operations decisions over a multiple-period time horizon. We propose a scenario-generation algorithm to iteratively solve the two-stage robust optimization problem with a min-maxmin structure. Through this high-fidelity model of planning and operational decisions, we are able to quantitatively evaluate the economic benefit of the various decision alternatives via sensitivity analysis.