Integrated Modeling And Multi-period Operational Optimization Of Steam Power System

Steam power system (SPS) is an important part of petroleum refining and chemical engineering industry, it produces the necessary steam and power for enterprise daily production, at the same time, consumes a lot of energy. So operational optimization of steam power system for petrochemical enterprise can not only provide a safe stable and long period operation, but also improve the energy efficiency and economic benefits.(1) Base on the study of operational optimization of steam power system years ago, this paper put forward the idea of multi-level integrated modeling of steam power system, elaborate the meanings and functions of physical structure, flow structure and function gradation structure which describe the steam power system.(2) About integrated modeling for multi-period operation of best designed steam power system, the model involves investment costs and depreciation of the equipment. Due to the factors such as season or the demand of market, the demand of steam and power of steam power system is changing in every period, and it causes the boiler and turbine start-stop frequently which can increase the costs of operation.(3)Due to introduce nonlinear models of boiler and steam turbine, the solution procedure of steam power system multi-period operation becomes extremely complex, traditional method can’t solve the problem effectively. This paper discusses the basic principle of particle swarm optimization algorithm, and the advantages and disadvantages of it, put forward the improved particle swarm optimization algorithm applicable to steam power system, obtain the optimal solution quickly and accurately.(4) Based on the improved particle swarm optimization algorithm, two examples were studied. One is multi-period optimal operation of steam power system. And the other is optimize the design and operation of steam power system synchronously. Two MINLP models were constructed and solved by the improved particle swarm optimization algorithm, which indicated that the integrated model and solving strategy were effectively. In the last part of my paper a multi-period optimal operation of steam power system in CNOOC (China National Offshore Oil Corporation) was constructed and solved by Lingo11.Synthesize the examples above, the satisfying operational planning of steam power system was gotten, which testified that the integrated model was practicable...