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| An HP-Elman-LSSVM Model for Prediction and Adjustment on Self-Provided Power Plant By-Product Gas Supply in Steel Enterprises |
| LI Hong-juan,WANG Jian-jun,WANG Hua,MENG Hua |
| Engineering Research Center of Metallurgical Energy Conservation and Emission Reduction, Ministry of Education, Kunming University of Science and Technology, Kunming 650093, Yunnan, China |
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Abstract The iron and steel enterprise self-provided power plant is the main buffer user for by-product gas, which can play a very important role in consuming affluent gas, reduce gas emission and realize the gas balance. An HP-Elman-LSSVM for prediction the supply of self-provided power plant was proposed through fully considering the characteristic of gas supplying. According to the characters of self-provided power plant energy utilization, the economic operating load of the boiler was calculated and the optimal scheduling was carried out. The simulation results show that average forecast relative error of the gas supply of self-provided power plant 30, 45 and 60 points are 19%, 1.4% and 1.4%, respectively. The model can handle the issue of the inaccurate forecast with the high accuracy and smaller average error. The optimal scheduling for self-provided power plant can obtain high steam productivity and the steel enterprises can produce an extra steam 81322t per year, about 9443.955t standard coal.
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Received: 28 January 2013
Published: 19 August 2013
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| [1] |
HE Dong-feng，LU Xiao-xu，FENG Kai，XU An-jun. Integrated optimal scheduling of gas-steam-electricity system in steel plants[J]. Iron and Steel, 2018, 53(7): 95-101. |
| [2] |
LI Hong-juan，XIONG Wen-zhen. Prediction and optimal operation on byproduct gas system in steel enterprises[J]. Iron and Steel, 2016, 51(8): 90-94. |
| [3] |
MENG Hua， WANG Jian-jun， WANG Hua， LI Hong-juan. Reflection on the imbalance of gas system in steel complex[J]. Iron and Steel, 2015, 50(3): 84-90. |
| [4] |
LIU Tong,ZHANG Xin,HUANG Sheng-wei,XU Gang,YANG Yong-ping. Recovery of Residual Heat Resources From Owned Power Plant in the Iron and Steel Industry[J]. Chinese Journal of Iron and Steel, 2014, 26(11): 29-33. |
| [5] |
LI Hong-juan,WANG Jian-jun,WANG Hua,MENG Hua. An HP(2)-Elman Model for Prediction and Scheduling on Affluent Gas in Steel Enterprises[J]. Chinese Journal of Iron and Steel, 2013, 25(7): 11-18. |
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2013, Vol. 48 
