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Energies 2018, 11(10), 2727; https://doi.org/10.3390/en11102727

Fuzzy Byproduct Gas Scheduling in the Steel Plant Considering Uncertainty and Risk Analysis

1,2,3,* , 1,2,3
and
1,2,3
1
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Received: 13 September 2018 / Revised: 2 October 2018 / Accepted: 8 October 2018 / Published: 11 October 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

In the iron and steel enterprises, efficient utilization of byproduct gas is of great significance for energy conservation and emission reduction. This work presents a fuzzy optimal scheduling model for byproduct gas system. Compared with previous work, uncertainties in byproduct gas systems are taken into consideration. In our model, uncertain factors in byproduct systems are described by fuzzy variables and gasholder level constraints are formulated as fuzzy chance constraints. The economy and reliability of byproduct gas system scheduling are sensitive to different confidence levels. To provide a reference for operators to determine a proper confidence level, the risk cost is defined to quantify the risk of byproduct gas shortage and emission during the scheduling process. The best confidence level is determined through the trade-off between operation cost and risk cost. The experiment results demonstrated that the proposed method can reduce the risk and give a more reasonable optimal scheduling scheme compared with deterministic optimal scheduling. View Full-Text
Keywords: iron and steel industry; byproduct gas; optimal scheduling; fuzzy chance constraint programming; risk cost iron and steel industry; byproduct gas; optimal scheduling; fuzzy chance constraint programming; risk cost
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Sun, X.; Wang, Z.; Hu, J. Fuzzy Byproduct Gas Scheduling in the Steel Plant Considering Uncertainty and Risk Analysis. Energies 2018, 11, 2727.

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