Study on balance scheduling based on the gasholder level prediction for blast furnace gas system in steel industry
A balance scheduling method based on gasholder level prediction is proposed for the byproduct gas system in this study. First, a class of Gaussian process regression is presented to construct the prediction model, in which a conjugate gradient algorithm is then designed to optimize the model parameters. A reasoning calculation is designed to obtain the gas adjustment amount for the system balance that sustains the whole system security. To verify the quality of the proposed method, the practical data coming from Shanghai Baosteel are employed and the experimental results indicate that the prediction for gasholder level provides the scientific guidance for the energy utility.
gasholder level prediction Gaussian process balance adjustment
Liu ying Zhao jun Lv zheng Wang wei
Research Center of Information and Control, Dalian University of Technology, Dalian 116023
国际会议
三亚
英文
1464-1467
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）