Dynamic optimal distribution model of surplus byproduct gases in iron and steel making process
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摘要: 基于混合整數線性規劃,以操作成本最小為目標函數建立了富余煤氣優化分配模型.與前人的優化模型相比,本文模型選取了較短的時間步長,并考慮了鍋爐權重因子及煤氣柜權重因子對優化結果的影響.根據國內某鋼鐵企業生產數據進行計算,發現優化結果對煤氣柜權重因子和鍋爐權重因子敏感,因此合理確定煤氣柜權重因子和鍋爐權重因子十分重要.優化模擬計算與現場經驗調度的結果相比,降低了煤氣柜儲氣量波動,提高了鍋爐45.9%的發電量,煤氣系統運行穩定性增強.Abstract: A mixed integer linear programming (MILP) model for optimization of surplus byproduct gases was built with the mini-mum operation cost as its objective function. Compared with previous optimization models, this model chooses a shorter time period and considers the influence of boiler penalty values (BPV) and gasholder penalty values (GPV) on the optimization results. Calculation results by the model based on real production data indicate that GPV and BPV are sensitive to the optimization results. Thus it is necessary to evaluate GPV and BPV reasonably. Compared with manual operation results, the optimal calculation results are able to re-duce the gas storage fluctuation of the gasholder, improve the electricity generation of boilers by 45.9%, and thus make the operation of the byproduct gas system safe and stable.
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Key words:
- iron and steel production /
- byproducts /
- energy utilization /
- integer linear programming /
- optimization
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