Maher Al-Badri

A Novel In Situ Efficiency Estimation Algorithm for Three-Phase IM Using GA, IEEE Method F1 Calculations, and Pretested Motor Data

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.

A New Stray-Load Loss Formula for Small and Medium-Sized Induction Motors

This paper proposes a new stray-load loss (SLL) formula for small and medium induction motors (IMs) based on tests data of a 182, 60 Hz IMs in the range of 1-500 hp (0.75-375 kW). They are all tested in accordance with IEEE Std 112-Method B. The proposed formula is validated by recalculating the efficiency of the same number of motors by using the proposed formula, as well as the IEEE Std 112 and the IEC 60034-2-1 standards. Another validation was done on testing 17 additional IMs that are independent of the 182-motor data. In both validations, the new formula demonstrates better accuracy. This formula shows the potential to replace the existing SLL estimation formula for this horsepower range.

A novel full-load efficiency estimation technique for induction motors operating with unbalanced voltages

This paper presents a novel algorithm for in-situ full-load efficiency estimation of induction motors operating under unbalanced voltages. The goal of this research work is to design a reliable in-situ efficiency estimation tool that can be used in industry to derate induction motors operating with unbalanced voltages. The proposed technique utilizes the genetic algorithm, IEEE Form F2-Method F1 calculations and pretested motor data. The method requires a DC test, full-load rms voltages, currents, input power and speed measurement. The proposed algorithm uses a sensorless speed measurement technique. The algorithm is evaluated by testing two induction motors with different voltage unbalance conditions. The results show acceptable accuracy.

Evaluation of measurement uncertainty in induction machines efficiency estimation

Any measurement process has always its inherent uncertainty due to different error sources. Identifying measurement uncertainties is important to make any measurement results reliable and credible. In this paper, 3 different induction motors were tested for efficiency using the direct method (dynamometer procedure) and a proposed algorithm of estimating full-load efficiency from only one no-load test.

Simple and accurate algorithm for three-phase IM efficiency estimation from only no-load tests

This paper presents a simple and accurate industrial tool that can be used in any North American electric motor workshop to estimate the full-load efficiency of 3-phase induction motor from only no-load test. The proposed technique utilizes a test data of 129 motors, ranging from 1–500 hp, tested in Hydro-Québec laboratory as per IEEE Std 112TM and CAN/CSA C390 standard procedures. The technique also utilizes a new proposed stray-load loss formula. The algorithm is validated by recalculating the efficiency of the 129 motors by using the proposed technique. The results show an acceptable degree of accuracy. Error analysis study is conducted to examine the level of uncertainty within the proposed algorithm results. The outcome of the study has completely supported the algorithm. A spreadsheet-based software is designed to turn the algorithm into a useful industrial tool.

A novel in situ efficiency estimation algorithm for three-phase induction motors operating with distorted unbalanced voltages

This paper presents a novel algorithm for in situ efficiency estimation for induction motors operating with unbalanced distorted voltages. The proposed technique utilizes the genetic algorithm, IEEE form F2-method F1 calculations, large motor test database, and a novel stray-load loss formula. The technique is evaluated by testing three small- and medium-sized induction motors with different combinations of voltage unbalance and total harmonic distortion. The results showed acceptable accuracy. The repeatability and usability of the technique with balanced sinusoidal voltages are also validated. The technique may be used as a potential industrial tool that can help derate induction motors in the presence of voltage unbalance and harmonics.

Induction machine parameter range constraints in genetic algorithm based efficiency estimation techniques

Estimation of induction machine equivalent circuit parameters which are commonly used in efficiency estimation and control methods can be effectively achieved by utilizing genetic algorithms (GA). One of the difficulties of using GAs for efficiency estimation is the determination of variable (parameter) constraints (ranges). A wide range of variables can cause unstable outcome. Hence, it is essential to determine an acceptable range for each variable prior to a GA run to produce stable and repeatable results. In this paper, relationships based on nameplate information and a large database of tested induction motors provided by Hydro-Québec are proposed to determine acceptable induction motor parameter ranges. The effectiveness and accuracy of the proposed method is validated by testing 4 induction machines of different power ratings.

A Novel In Situ Efficiency Estimation Algorithm for Three-Phase Induction Motors Operating With Distorted Unbalanced Voltages

This paper presents a novel algorithm for in situ efficiency estimation for induction motors operating with distorted unbalanced voltages. The proposed technique utilizes the genetic algorithm, IEEE Form F2-Method F1 calculations, large motor test database and a new stray-load loss formula. The technique is evaluated by testing 3 small- and medium-sized induction motors with 11 different combinations of voltage unbalance and total harmonic distortion. The results showed acceptable accuracy. The technique may be used as a potential industrial tool that can help derate induction motors in the presence of voltage unbalance and harmonics distortion.