Gas System Scheduling Strategy for Steel Metallurgical Process Based on Multi-objective Differential Evolution

• Published in: Information sciences 2024-01, Vol.654, p.119817, Article 119817
• Main Authors: Feng, Lili, Peng, Jun, Huang, Zhaojun
• Format: Article
• Language: English
• Subjects: Differential Evolution Algorithm; Gas System; Scheduling Strategy; Steel Metallurgy Process
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2023.119817

Effective gas system scheduling is vital for ensuring the safe operation and energy efficiency of steel production. However, the dynamic and cyclical nature of gas generation and consumption leads to fluctuations in gas network pressure and gas holder levels. To address this issue, this paper proposes a novel strategy for gas system scheduling based on multi-objective differential evolution. The originality lies in fully considering the workload of operators, effectively reducing the workload while ensuring gas network stability. We analyze the composition of the gas system and design a scheduling scheme. Subsequently, a novel gas holder level model based on mechanism analysis is established, which calculates the gas holder level by analyzing the volume and pressure of the gas. Then, a gas system scheduling model with a new objective function based on a multi-objective differential evolution algorithm is provided. By comparing with the two recent methods, this method reduced the number of adjustments by 13.9% and 9.75%, respectively, effectively reducing the workload while ensuring gas system stability. Through statistical analysis for eight consecutive months, the results show that this method can reduce the gas emission rate from 1.34% to 0.88%, demonstrating its correctness and effectiveness.