Energy and reserve dispatch with distributionally robust joint chance constraints

We develop a two-stage stochastic program for energy and reserve dispatch of joint power gas system with high penetration renewables. Data-driven distributionally robust chance constraints ensure that there is no load shedding renewable spillage probability. solve this problem efficiently using conditional value-at-risk approximations linear decision rules. Out-of-sample experiments show model dominates the corresponding without models effects explicitly.