Title :
A Novel In Situ Efficiency Estimation Algorithm for Three-Phase IM Using GA, IEEE Method F1 Calculations, and Pretested Motor Data
Author :
Al-Badri, Maher ; Pillay, Pragasen ; Angers, Pierre
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montréal, QC, Canada
Abstract :
The precise estimation of efficiency of induction motors is crucial in industries for energy savings, auditing, and management. This paper presents a novel method for in situ induction motors efficiency estimation by applying the genetic algorithm and utilizing IEEE Form F2-Method F1 calculations with pretested motor data. The method requires a dc test, full-load operating point rms voltages, currents, input power, and speed measurements. The proposed algorithm uses a sensorless technique to determine motor speed. The algorithm is not only an in situ tool; it can also be used as an on-site efficiency estimation tool that might replace the expensive dynamometer procedure. The method was validated by testing 30 induction motors.
Keywords :
IEEE standards; dynamometers; electric current measurement; estimation theory; genetic algorithms; induction motors; power measurement; velocity measurement; voltage measurement; DC test; IEEE Form F2-Method F1 calculations; dynamometer procedure; energy savings; full-load operating point rms voltages; genetic algorithm; in situ efficiency estimation algorithm; in situ tool; induction motor; motor data; motor speed; on-site efficiency estimation tool; sensorless technique; speed measurements; three-phase IM; Estimation; Genetic algorithms; Induction motors; Loss measurement; Rotors; Temperature measurement; Voltage measurement; DC test; IEEE Form F2-Method F1; equivalent circuit; genetic algorithm; hot temperature; induction motor; nameplate; parameter estimation; sensorless speed estimation; stray load loss;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2015.2421288
