Sample average approximation for risk-averse problems: A virtual power plant scheduling application

•Efficient computational strategies for a sample average approximation are proposed.•A virtual power plant operation is modeled using stochastic programming formulations.•The impact of the sample size on the variability of the results is quantified.•The sample size has more influence on the results for worst-case formulations.•Adequate sample sizes lead to solutions close to the optimal one.