Optimizing production scheduling of steel plate hot rolling for economic load dispatch under time-of-use electricity pricing

TL;DR

This paper presents a multi-objective optimization approach for scheduling hot rolling in steel production to minimize electricity costs under Time-of-Use pricing, considering penalties and grid load regulation.

Contribution

It introduces a novel NSGA-II based scheduling model for batch processing under TOU pricing, incorporating penalty considerations and decision-making via TOPSIS.

Findings

Significant reduction in electricity costs achieved.

Effective peak load regulation demonstrated.

Method adapts to penalty score variations.

Abstract

Time-of-Use (TOU) electricity pricing provides an opportunity for industrial users to cut electricity costs. Although many methods for Economic Load Dispatch (ELD) under TOU pricing in continuous industrial processing have been proposed, there are still difficulties in batch-type processing since power load units are not directly adjustable and nonlinearly depend on production planning and scheduling. In this paper, for hot rolling, a typical batch-type and energy intensive process in steel industry, a production scheduling optimization model for ELD is proposed under TOU pricing, in which the objective is to minimize electricity costs while considering penalties caused by jumps between adjacent slabs. A NSGA-II based multi-objective production scheduling algorithm is developed to obtain Pareto-optimal solutions, and then TOPSIS based multi-criteria decision-making is performed to recommend an optimal solution to facilitate filed operation. Experimental results and analyses show that the proposed method cuts electricity costs in production, especially in case of allowance for penalty score increase in a certain range. Further analyses show that the proposed method has effect on peak load regulation of power grid.