Owing to the inherent intermittence，fluctuation，and low predictability，integrating large-scale renewable power generation into bulk power grids has posed significant challenges to system operators.One of the key issues is how to guarantee safe operation at minimum cost where renewable power generation seriously deviates from prediction.Motivated by such considerations，this paper proposes a generalized concept and implementation framework of robust and economical scheduling，whose theoretical foundation is boiled down to the robust feasibility problem，which is actually a two-move zero sum game between nature and the decision maker.Moreover，a systematic solution algorithm is developed for the robust and economical scheduling problem.By gradually cutting off non-robust feasible solutions，the final robust solution will be immunized against all possible realization of uncertain renewable power generation and minimize the scheduling cost.