Steam power system should be designed with the objectives of economy and system operability to copy with some uncertain variations.A novel optimization design strategy considering both deterministic and uncertain variations was proposed

and a Mixed Integer Linear Programming (MILP) model was formulated.The deterministic variations of steam and power demands due to seasons or product solutions would cause the design to be a multi-period problem.The uncertain prices fluctuation of fuel and power were decomposed into discrete items in the modeling setting.As to each period

uncertain steam and power demands were also involved in the optimization objective and constraints in the form of discrete demands with corresponding weights.The proposed design strategy was used to design a steam power system in a petrochemical plant.Compared with the traditional strategy design result

the proposed design provided multi-period scheduling arrangements to meet uncertain demands under different conditions

saved the total cost and realized an economic and operational optimization design of a practical steam power system.