The week's pick
Reseach Article
ELMA based Design of SCMFIM to Improve the Efficiency and Power Factor
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 43 - Number 22 |
| Year of Publication: 2012 |
| Authors: S.s.sivaraju, N.devarajan |
10.5120/6403-8772
|
S.s.sivaraju, N.devarajan . ELMA based Design of SCMFIM to Improve the Efficiency and Power Factor. International Journal of Computer Applications. 43, 22 ( April 2012), 23-29. DOI=10.5120/6403-8772
Abstract
The squirrel-cage Induction motors (SCIMs) are approximately 80% of the overall electricity use in industrialized countries. In the agricultural and commercial sectors also, power consumption by high power SCIMs are quite substantial. On an average, the energy consumed by a motor during its life cycle is 40-80 times the initial cost of the motors. Therefore efficiency and power factor (PF) of the motor is very essential for both during design and operation. Even small increase in efficiency and power factor, improvement can make a big difference in energy savings in variable load applications. In this paper mainly focusing on optimal design of multiple stator-winding to improve efficiency and power factor of high power SCIMs during variable loads, the different flux level of stator winding are designed [4] (star-delta) according to variable loads and its performance is discussed. The Extreme Learning Machine Algorithm (ELMA) is used for the multiple stator winding design and optimization process and the obtained simulation results are compared. The importance of this work is to improve the efficiency and power factor of the high power three phase SCIMs during variable load applications, and to reduce power losses [15, 23] energy consumption in the industry and in the territory sectors
References
- Andreas Binder and Keith Bradley. "Efficiency Deter-mination Methods - Economical Consequences and Application Rules", 25. 05. 2005 University of Nottingham School of Electrical and Electronic Engineering.
- Anibal T. de Almeida, Fernando J. T. E. Ferreira Joao Fong, and Paula Fonseca. "EUP Lot 11 Motors Final Report February 2008", ISR- University of Coimbra.
- C. Kral, A. Haumer, and C. Grabner. "Consistent In-duction Motor Parameters for the Calculation of Partial Load Efficiencies", Proceedings of the World Congress on Engineering 2009 Vol I WCE 2009, July 1 - 3, 2009, London, U. K.
- Fernando J. T. E. Ferreira, member, IEEE, and anibal T. de almeida, senior member of IEEE. "Novel Multiflux Level, Three-Phase, Squirrel-Cage Induction Motor for Efficiency and Power Factor Maximization" IEEE Transactions on energy conversion, Vol. 23, No. 1, march 2008.
- Giampaolo Liuzzi1, Stefano Lucidi, Veronica Piccialli1, Marco Villani. "Design of induction motors using a mixed-variable approach", Computational Management Science © Springer-Verlag 20.
- Guang-Bin Huang and Chee-Kheong Siew "Extreme Learning Machine with Randomly Assigned Rbf Kernels" International Journal of Information Technology, vol. 11 no. 1.
- Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew "Extreme Learning Machine Theory and Applications" Neurocomputing 70 (2006) 489–501.
- Guang-Bin Huang, Xiaojian Ding, Hongming Zhou, "Optimization Method Based Extreme Learning Machine for Classification" Science Direct 10 May 2010.
- Guang-Bin Huang,Lei Chen, "Enhanced random search based incremental extreme learning machine " 21 No-vember 2007.
- J. Siva Prakash and R. Rajesh "Random Iterative Extreme Learning Machine for Classification of Electronic Nose Data" International Journal of Wisdom Based Computing, vol. 1(3), December 2011.
- John S. Hsu, Senior Member, IEEE, John D. Kueck, Senior Member, IEEE, Mitchell Olszewski, Don A. Casada, Pedro J. Otaduy, and Leon M. Tolbert, Member, IEEE, "Comparison of Induction Motor Field Efficiency Evaluation Methods", IEEE Transactions on Industry Applications,vol. 34, no. 1, January/February 1998.
- Kentli "A Survey on Design Optimization Studies of Induction motors during the last decade", Journal of Electrical & Electronics Engineering Year-2009, vol. 9, no. 2, pp. 969-975.
- Kristin P. Bennett, Emilio Parrado-Hernandez, "The Interplay of Optimization and Machine Learning Re-search", Journal of Machine Learning Research 7 (2006) 1265–1281.
- Mark Van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja1, and Amaury Lendasse1. , "Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction", ICANN 2009, Part II, LNCS 5769, pp. 305–314, Springer-Verlag Berlin Heidelberg 2009.
- Mehdi Dhaoui, and Lassaad Sbita. "A New Method for Losses Minimization in IFOC Induction Motor Drives", International Journal of Systems Control, Vol. 1, Issue -2, 2010, pp. 93-99.
- Nikos E. Mastorakis, Cornelia A. Bulucea, and Doru A. Nicola. "Assessment of Three-phase Induction Motor Dynamic Regimes Following Ecosystem Patterns", Wseas Transactions on Circuits and Systems, ISSN: 1109-2734, Issue 8, Volume 8,pp 651-660, August 2009.
- Oleg Muravlev, Olga Muravleva, Eugenia Vekhter Tomsk Polytechnic University, Russia. "Energetic Parameters of Induction Motors as the Basis of Energy Saving in a Variable Speed Drive", Electrical Power Quality and Utilisation, Journal Vol. XI, no. 2, 2005.
- Patricia D. Hough, Pamela J. Williams, "Modern Machine Learning for Automatic Optimization Algorithm election" Computational Sciences and Mathematics Research Department. Sandia National Laboratories, California, USA, Aug. 2009.
- Piotr Gnacinski, Member, IEEE "Windings Temperature and Loss of Life of an Induction Machine under Voltage Unbalance Combined with Over- or Under Voltages", IEEE Transactions on Energy Conversion, Vol. 23, No. 2, pp 363-371, June 2008.
- Radha Thangaraj, Thanga Raj Chelliah, Pascal Bouvry, Millie Pant, and Ajith Abraham. "Optimal Design of Induction Motor for a Spinning Machine Using Popula-tion Based Metaheuristics", 2010 International Confe-rence on Computer Information Systems and Industrial Management Applications.
- Ronnie Belmans, Wim Deprez Ozdemir Gol. "Increasing Induction Motor Drives Efficiency Understanding the Pitfalls", Proceedings of Electro Technical Institute, Issue 223, pp 7-25, 2005.
- Subramanian Manoharan, Nanjundappan Devarajan, and Subbarayan M. Deivasahayam. "Review on Efficiency Improvement In Squirrel Cage Induction Motor by Using DCR Technology", Journal of Electrical Engineering, vol. 60, no. 4, 2009, pp 227–236,
- V. P. Sakthivel, R. Bhuvaneswari and S. Subramanian, Senior Member, IEEE, "Adaptive Particle Swarm Op-timization for the Design of Three-Phase Induction Motor Considering the Active Power Loss Effect", International Journal of Computer and Electrical Engineering, Vol. 2, No. 4, pp. 627-636,August, 2010.
- Venugopal Chitra, K. S. Ravichandran, R. Varadarajan "Fuzzy Extreme Learning Machine Algorithm for Matrix Converter" International Journal of Reviews in computing 15th july 2011. Vol. 6.
Index Terms
Keywords