Multi-objective Operation Optimization Method of Steam Power System

The steam power system consumes many energies, which lays a foundation for the long cycle operation of petrochemical enterprises. However, most optimized operation scheduling schemes only considered the savings in energy quantity, disregarding the difference in energy quality. In this paper, exergy analysis method in thermodynamics is used to evaluate the quality of various energy sources, and exergy objective function is established. Moreover, combined with economic objective function, a mixed-integer nonlinear multi-objective model of SPS is established. Finally, the ε constraint method is used to obtain the Pareto front of multi-objective problems, and the fuzzy decision is used to determine the optimal strategy of the system. By introducing the multi-objective optimization of SPS model considering the economic and exergy objective, an optimal scheduling scheme weighing economic and exergy objectives is obtained. Compared with single objective optimization results, the results indicate the feasibility and effectiveness of the model and the solution method.