Optimizing Extremal Control of Power Consumption of an Electric Arc Furnace: A Method for Selecting an Efficiency Criter
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https://doi.org/10.1007/s11837-020-04359-2 Ó 2020 The Minerals, Metals & Materials Society
ELECTROMETALLURGICAL PROCESSING
Optimizing Extremal Control of Power Consumption of an Electric Arc Furnace: A Method for Selecting an Efficiency Criterion and Its Application BORIS N. PARSUNKIN,1,2 SERGEY M. ANDREEV,1,3 and OXANA S. LOGUNOVA 1,4 1.—Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia 2.—e-mail: promkim@ gmail.com. 3.—e-mail: [email protected]. 4.—e-mail: [email protected]
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.
INTRODUCTION At present, the efficiency of optimal process control depends on a selected criterion of specific process control performance as a control strategy. Regulating the incorrect criteria for assessing optimal control by only minimizing nonmanufacturing material and power costs is detrimental to the process under control. Ultimately, minimum nonmanufacturing costs are achieved when the process is completely terminated. A reasonable and technically sound criterion for the assessment of efficiency and the prospect of developing optimal control is as follows: ‘‘An appropriate wording and introduction of optimum control, minimizing nonmanufacturing costs of process control with an unconditional increase in performance and unreserved improvement of the quality of finished products.’’
(Received July 11, 2019; accepted August 26, 2020)
Formal rationales and definitions of efficiency criteria assessments are often neglected. This is one reason for a lack of significant increase in the optimal control efficiency of processes in electric arc units. The task of efficient control can be completed using search systems of automatic optimization (AOCS). A fundamental technical difference between AOCSs and conventional stabilizing automatic control systems is that AOCSs achieve the set objective of optimal control by finding a priority parameter to be optimized and maintaining it at a minimum or maximum lev
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