An interval two-stage robust stochastic programming approach for steam power systems design and operation optimization under complex uncertainties

•Present uncertainties as both probability distributions and discrete intervals.•Permit in-depth analyse of various scenarios for the violated promised policy targets.•Directly reflect the system risk into the optimization model.•Assess trade-offs between system economy and stability.