Development and Application of Intelligent Optimal Scheduling System for the Byproduct Gas in Steel Plants

2019 ◽  
Author(s):  
K. Hu
Keyword(s):  
Optimal Scheduling ◽  
Scheduling System ◽  
Byproduct Gas

An Optimal Scheduling System for the Welland Canal

1988 ◽  
Vol 22 (3) ◽  
pp. 173-185 ◽  
Author(s):  
E. R. Petersen ◽  
A. J. Taylor
Keyword(s):  
Optimal Scheduling ◽  
Scheduling System

Optimal scheduling of a byproduct gas system in a steel plant considering time-of-use electricity pricing

2017 ◽  
Vol 195 ◽  
pp. 100-113 ◽  
Author(s):  
Xiancong Zhao ◽  
Hao Bai ◽  
Qi Shi ◽  
Xin Lu ◽  
Zhihui Zhang
Keyword(s):  
Steel Plant ◽  
Optimal Scheduling ◽  
Electricity Pricing ◽  
Byproduct Gas ◽  
Gas System

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

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2727
Author(s):  
Xueying Sun ◽  
Zhuo Wang ◽  
Jingtao Hu
Keyword(s):  
Confidence Level ◽  
Optimal Scheduling ◽  
Iron And Steel ◽  
Fuzzy Variables ◽  
Confidence Levels ◽  
Scheduling Model ◽  
Byproduct Gas ◽  
Gas System ◽  
Risk Cost ◽  
Operation Cost

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.

scholarly journals Optimal scheduling system for wind farm and hydro power plant coordinating operation

2018 ◽  
Vol 145 ◽  
pp. 277-282 ◽  
Author(s):  
Qiyu Chen ◽  
Xiuyuan Yang ◽  
Guoqing He ◽  
Xiaoxin Zhou
Keyword(s):  
Power Plant ◽  
Wind Farm ◽  
Optimal Scheduling ◽  
Hydro Power ◽  
Scheduling System
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