Knowledge and mathematical programming-based optimal scheduling for byproduct gas system in steel industry

论文类型：

会议论文

第一作者：

Sheng, Chunyang

合写作者：

Zhao, Jun

发表时间：

2017-01-01

收录刊物：

CPCI-S

文献类型：

A

页面范围：

7493-7498

关键字：

byproduct gas system; knowledge base; fuzzy rules; mathematical programming

摘要：

Aiming at the optimal scheduling problem of byproduct gas system in steel industry, a knowledge and mathematical programming-based optimal scheduling method is proposed in this study. On one hand, a fuzzy model is designed to extract the expert scheduling knowledge from the historical data of the industrial process. And then, a great deal of scheduling knowledge is employed to compose a fuzzy rules base, which can be used for fuzzy inference of operation scheme with a new input. On the other hand, a mixed integer linear program (MI-LP) method is built to further optimize the operation scheme. Thus, a more reasoning and optimal operation scheme can be achieved with the consideration of both the expert knowledge and the mathematical programming method. Finally, a byproduct gas system of one steel industry is studied for experiments to verify the effectiveness and practicability of the proposed method.