An In Situ Efficiency Estimation Technique for Induction Machines Working With Unbalanced Supplies

In situ machine efficiency estimation techniques are increasing in importance due to pressures to improve performance and for demand-side management. Numerous techniques have been proposed to estimate the efficiency of an induction motor in situ . Only a few are actually practical considering the level of intrusion and the accuracy. Besides, very little has been done to make these methods compatible with the unbalanced supply condition that exists in most industrial applications. In this paper, a new evolutionary-based in situ efficiency estimation technique, capable of dealing with balanced and unbalanced power supply conditions without the requirement of the no load test, is proposed. The effectiveness of this method is verified by experimental results.

[1]  Barbara Linda Herndler Non-intrusive efficiency estimation of induction machines , 2010 .

[2]  J.R. Gomez,et al.  Estimation of induction motor efficiency in-situ under unbalanced voltages using genetic algorithms , 2008, 2008 18th International Conference on Electrical Machines.

[3]  J. S. Hsu,et al.  Comparison of induction motor field efficiency evaluation methods , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[4]  Mehmet Çunkas,et al.  Efficiency determination of induction motors using multi-objective evolutionary algorithms , 2010, Adv. Eng. Softw..

[5]  P. Pillay,et al.  The use of the genetic algorithm for in-situ efficiency measurement of an induction motor , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[6]  J. S. Hsu,et al.  Field test of motor efficiency and load changes through air-gap torque , 1995 .

[7]  Pragasen Pillay,et al.  In-situ induction motor efficiency determination using the genetic algorithm , 1998 .

[8]  A. E. Eiben,et al.  Introduction to Evolutionary Computing , 2003, Natural Computing Series.

[9]  T.G. Habetler,et al.  Non-Intrusive Efficiency Determination of In-Service Induction Motors using Genetic Algorithm and Air-Gap Torque Methods , 2007, 2007 IEEE Industry Applications Annual Meeting.

[10]  P. Pillay,et al.  The contribution of energy efficient motors to demand and energy savings in the petrochemical industry , 1995 .

[11]  C. Chat-uthai,et al.  Nonintrusive method for estimating field efficiency of inverter-fed induction motor using measured values , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[12]  T.G. Habetler,et al.  A Nonintrusive and In-Service Motor Efficiency Estimation Method using Air-Gap Torque with Considerations of Condition Monitoring , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[13]  C. Chat-uthai,et al.  An economical method for induction motor field efficiency estimation for use in on-site energy audit and management , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[14]  S.F. Kodad,et al.  Estimation of induction motor field efficiency for energy audit and management using genetic algorithm , 2008, 2008 3rd International Conference on Sensing Technology.

[15]  J. S. Hsu,et al.  Field assessment of induction motor efficiency through air-gap torque , 1996 .

[16]  C. Chat-uthai,et al.  Estimation of induction motor parameters based on field test coupled with genetic algorithm , 2002, Proceedings. International Conference on Power System Technology.