当前位置: X-MOL 学术JOM › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimizing Extremal Control of Power Consumption of an Electric Arc Furnace: A Method for Selecting an Efficiency Criterion and Its Application
JOM ( IF 2.6 ) Pub Date : 2020-09-17 , DOI: 10.1007/s11837-020-04359-2
Boris N. Parsunkin , Sergey M. Andreev , Oxana S. Logunova

The authors propose an experimental search optimization strategy for power consumption control of electric arc production units to maintain their maximum capacity. An EAF-180 modern high-power electric arc furnace is used as an example. The efficient and intelligent optimization of extremal control of electric power consumption at maximum capacity is facilitated by an extremum search method that stores the active power change rate extremum and stops at a set search time when the process reaches an optimal mode. Use of the proposed search method ensures high reliability of electrode transfer operation by near-complete exclusion of a periodic operation mode which is characteristic of known search methods. Bench-scale testing of the search optimizing extremal control was conducted on a computer-based unit representing a single-phase electric arc furnace. The proposed search method focuses on the application of software and regulating microprocessor controllers, does not require considerable expense, and almost fully excludes interference by process personnel in the power consumption control mode of an electric arc furnace.

中文翻译:

电弧炉功耗的优化极值控制:一种选择效率准则的方法及其应用

作者提出了一种用于电弧生产装置功耗控制的实验搜索优化策略,以保持其最大产能。以一台 EAF-180 现代大功率电弧炉为例。通过存储有功功率变化率极值并在过程达到最佳模式时在设定的搜索时间停止的极值搜索方法,促进了在最大容量下对电力消耗的极值控制的高效和智能优化。所提出的搜索方法的使用通过几乎完全排除已知搜索方法的特征的周期性操作模式来确保电极转移操作的高可靠性。搜索优化极值控制的基准测试是在代表单相电弧炉的基于计算机的单元上进行的。所提出的搜索方法侧重于软件的应用和调节微处理器控制器,不需要大量的费用,并且在电弧炉的功耗控制模式中几乎完全排除了工艺人员的干扰。
更新日期:2020-09-17
down
wechat
bug