Steady state criterion and case-based optimizing operation of energy system

This paper addresses the issues about the optimizing operation of large-scale energy system and the utilization of long-term operation data of continuous process. Data screening criterion is defined for this kind of data and case-based method is imported for the instruction of system optimal operation. These key steps are considered, especially, a novel case adaptation scheme is proposed depending on multi-cases, and the decision factor defined can greatly enhance the decision support ability of case-based system. The problem-solving scheme proposed in the paper, combining domain model, statistical analysis and artificial intelligence method together, is an effective effort for these homologous issues in engineering.