Electrical Energy Saving Based on Production Process Optimization for Steel Enterprise

Abstract:

The iron and steel industry annually consumes about 10% of electricity in China, while the utilization efficiency is relatively low. A two-step energy-saving method for steel enterprise is proposed in this paper. The production plan is regulated to minimize the energy utilized in steel rolling. The electrical load is forecasted according to the optimized steel-rolling plan and the reactive power is compensated to minimize the active power loss and voltage fluctuation. Practical application in Jigang Group Co., Ltd shows the efficiency of the proposed method.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 4475-4481
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.4475
• Online since: November 2011
• Authors: Hai Nan Zhu, Jia Chuan Shi, Li Ping Liang
• Keywords: Electrical Energy Saving, Power Load Forecasting, Production Process Optimization, Steel Rolling

References

[1] Wang Meng, Su Yi. The Technologies of Energy Conservation and Emission Reduction in Iron and Steel Industry and Their Application in China, Environmental Engineering, 2010, 28(2); 59-62.

[2] Tian Jinglong. Power consumption and power saving analysis in the top ten iron and steel plant, Energy for Metallurgical Industry, 2008, 27(3): 3-5.

[3] Sun Wang, Qin Li-jun. Analysis and Control of Quality of Electrical Energy in Steel Enterprise, Electrical Equipment. 2008, 9(7): 68-71.

[4] Depommier, B. Stanley, J. Static Var Compensator Upgrade in a Steel Mill, Proc. Power Engineering Society General Meeting, IEEE, July 2003, pp.362-365. doi: 10. 1109/PES. 2003. 1267198.

DOI: 10.1109/pes.2003.1267198

[5] Zhou Dian-min, Li Guan-ding, Li Kai, etc. Measures and effects of electric power and energy saving in iron &steel industry, POWER DSM, 2008, 10(6): 33-35.

[6] Tang Di, Mi Zhen-li, Chen Yu-lai. Recent Status and Development of Steel Rolling Technology,. Iron and Steel, 2007, 42(11): 1-3.

[7] Ning Shu-shi, Wang Wei. Multi-objective optimization model and algorithm for hot rolling lot planning., Proc. Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on. p.7390 – 7394, doi: 10. 1109/WCI A. 2006. 171 4522.

DOI: 10.1109/wcica.2006.1714522

[8] Wang Jie-wen, Li He-nan. Summary of Particle Swarm Optimization Algorithm, Modern Computer, 2009, (301); 22-27.

[9] Reed, G.F. , Greaf, J.E. Application of a 5 MVA, 4. 16 kV D-STATCOM system for voltage flicker compensation at Seattle Iron and Metals, Proc. Power Engineering Society Summer Meeting, 2000. IEEE. p.3: 1605 – 1611. doi: 10. 1109/PESS. 2000. 868768.

DOI: 10.1109/pess.2000.868768

[10] Singh, B. , Adya, A. , Mittal, A.P. , Gupta, J.R.P. , Power Quality Enhancement with DSTATCOM for Small Isolated Alternator feeding Distribution System, Power Electronics and Drives Systems, 2005. PEDS 2005. International Conference on. p.1.

DOI: 10.1109/peds.2005.1619698