Abstract:

Steam power system is an important part of petrochemical industry.Its design and synthesis is a complex and systematic task.Apart from economic objectives, the more important objective of design is operability under all demanding conditions.According to the varying features of the steam power system, a flexible and optimizing design strategy was proposed in this paper.The varying internal and external factors of steam and power were analyzed.The deterministic varying factor was transferred into multi-period problem and the non-deterministic varying factor was transferred into virtual multi-scenario problem.A mixed integer linear programming (MILP) model was formulated for the flexible and optimizing design of steam power system to find the optimal project according to two objectives of economic efficiency and flexibility.A general Benders decomposition (GBD)algorithm was used to solve the MILP model.In a case study, the presented flexible and optimizing design strategy was applied in a real design project of steam power system for a refinery plant.The traditional design method and economics optimizing method were also applied to design the same case.Three different design schemes were presented and compared.The comparison result indicated that the flexible and optimizing scheme was the best one according to the integrated objective of economic efficiency and flexibility.So the feasibility and practicability of the flexible and optimizing design strategy and solving algorithm were proved.