| Intelligent modeling and optimization on time-sharing power dispatching system for electrolytic zinc process |
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| 作者姓名： | 王雅琳 桂卫华 阳春华 黄泰松 |
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| 作者单位： | College of Information Science and Engineering，Central South University of Technology，Changsha 410083，P.R.China |
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| 基金项目： | Projects ( 863 -5 11-9845 -0 0 3，863 -5 11-945 -0 14 )suportedby“863”HTRDPofChina |
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| 摘 要： | 1 ＩＮＴＲＯＤＵＣＴＩＯＮＩｎｍｅｔａｌｌｕｒｇｉｃａｌｉｎｄｕｓｔｒｙ ,ｅｌｅｃｔｒｏｌｙｔｉｃｚｉｎｃｐｒｏ ｃｅｓｓ(ＥＺＰ)ｉｓａｇｒｅａｔｐｏｗｅｒ ｃｏｎｓｕｍｉｎｇｐｒｏｃｅｓｓｗｈｏｓｅｐｏｗｅｒｃｏｎｓｕｍｐｔｉｏｎａｃｃｏｕｎｔｓｆｏｒ 80 %ｏｆｔｏｔａｌｐｏｗｅｒｃｏｎｓｕｍｐｔｉｏｎｏｆｈｙｄｒｏ ｍｅｔａｌｌｕｒｇｉｃａｌｐｒｏｃｅｓｓ1] .Ａｃ ｃｏｒｄｉｎｇｔｏｒｅａｌ ｔｉｍｅ ｐｒｉｃｅｃｏｕｎｔｉｎｇ ｐｏｌｉｃｙ ,ｐｏｗｅｒｃｏｓｔｓｏｆＥＺＰｗｉｌｌｂｅｄｅｃｒｅａ…
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Intelligent modeling and optimization on time-sharing power dispatching system for electrolytic zinc process |
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| WANG Ya-lin,GUI Wei-hua,YANG Chun-hua,HUANG Tai-shong.Intelligent modeling and optimization on time-sharing power dispatching system for electrolytic zinc process[J].Transactions of Nonferrous Metals Society of China,2000,10(4). |
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| Authors: | WANG Ya-lin GUI Wei-hua YANG Chun-hua HUANG Tai-shong |
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| Abstract: | Based on real time price counting of electric power, an optimization model of time sharing power for electrolytic zinc process(EZP) was established by means of an incremental fuzzy neural network(FNN), which is adopted to approximate the relationship of current efficiency, current density and acidity. Penalty function introduced and optimal objective function reconstructed, a single loop simulated annealing algorithm(SAA) by using mutation and extending searching spaces was used to obtain optimal time sharing power scheme. Industrial practical results show that the whole system can greatly decrease the power consumption of EZP and increase the time sharing profits. |
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| Keywords: | fuzzy neural network optimization model of time sharing power simulated annealing algorithm |
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