Derating of Induction Motors Due to Power Quality Issues Considering the Motor Efficiency Class

Donolo, Pablo; Pezzani, Carlos M.; Bossio, Guillermo R.; Angelo, Cristian H. De; Donolo, Marcos

doi:10.1109/tia.2020.2965859

Cited by 17 publications

(26 citation statements)

References 23 publications

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“…The external defects of the motors are mainly caused by power quality problem of the supply sources [29][30][31][32][33][34][35]. Consequently, our investigation is focused on these issues, especially on the harmonics and unbalanced conditions that are frequently found in lowvoltage installations [35][36][37][38][39][40].…”

Section: Motor External Faultsmentioning

confidence: 99%

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Smart Predictive Maintenance Device for Critical In-Service Motors

2022

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The paper proposed an innovative predictive maintenance system, designated to monitor and diagnose critical electrical equipment (generally large power electric motors) within industrial electrical installations. A smart and minimally invasive system is designed and developed. Its scope is to evaluate continuously the essential operating parameters (electrical, thermal, and mechanical) of the investigated equipment. It manages to report the deviations of inspected machine operating parameters values from the rated ones. The system also suggests the potential cause of these abnormal variations along with possible means (if the defect is identified in a database, constantly updated with each appearance of a malfunction). The developed maintenance device generates an operating report of the analyzed equipment, in which the values of power quality and energy indicators are computed and interpreted. Additionally, real-time remote transmission of analyzed data is facilitated, making them accessible from any location. The proposed maintenance system is a low-cost device that is easy to install and use in comparison with similar existing devices and equipment. The designed maintenance system was tested on dedicated to low-voltage equipment up to 100 kW.

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Section: Motor External Faultsmentioning

confidence: 99%

“…If the voltage waveform is measured and analyzed (the HVF parameter is determined). The operating efficiency of the motor η ns can be expressed as a function of its rated efficiency η (under pure sinusoidal state) and the derating factor DF-as also shown in Figure 3b [32][33][34][35]:…”

Section: Supply Voltage Unbalancementioning

confidence: 99%

Smart Predictive Maintenance Device for Critical In-Service Motors

2022

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“…In the study of such modes, the use of linear models of ASCS gives a fairly good agreement between the calculated and experimental data. A good result is a description of the characteristics of ASCS elements by polynomial dependencies based on experimental data [13][14][15][16][17]. A structural diagram that satisfactorily describes the transient processes in IM when it is fed from TVC is shown in Figure 1, where TCV -thyristor converter, SS -speed sensor, CScurrent sensor, PPCC -pulse-phase control circuit.…”

Section: Theoretical Reseachesmentioning

confidence: 99%

“…The role of the static speed controller is performed by the ASCS with a transmission factor δ (slope of the sawtooth), which is numerically equal to the reciprocal of the gain. The values of δ and, kbfw, kbfi are chosen by the results of analysis and synthesis, proceeding from the provision of specified dynamic properties of the circuit [15][16][17][18][19]. Differential equations describing the control loop for the frequency of rotation of the IM in the transient process (Midle -Mnom, Mnom -Midle) take the form:…”

Section: Theoretical Reseachesmentioning

confidence: 99%

“…To determine the coefficients of polynomials approximating a given array of source points, an approximating program was written in FORTRAN. The acceptable accuracy of the polynomial description of given arrays of input data was achieved by checking the results of calculations at control points [28,[29][30][31][32][33][34]. Polynomial dependence of the second degree for the torque M on the speed of the motor shaft n, the voltage of the thyristor power source Vs, the current consumed from the power source Is, the angle of control of the IPCS а: To solve the direct and inverse control problems, the parameters of linear dependencies were determined [16]: The polynomial dependence of the power factor on the same parameters will be written as:…”

Section: Polynomial Dependences Of the Main Parameters Of Immentioning

confidence: 99%

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Experimental determination of suboptimal parameters for energy-efficient control of an induction motor

Goun

Anikin

A.Bakin

2020

IJPEDS

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The article presents the results of experimental studies of the automatic speed control system (ASCS) of an induction motor (IM). Preliminary experimental studies have shown that the stator current minimum (power factor) is a suboptimal criterion. Optimal in terms of control is the rated power factor. Tests of IM with a thyristor voltage converter (TVC), as a power source, were conducted on an installation created at the department. A mathematical model of ASCS IM corresponding to the experimental setup has been developed. To determine the main functional dependences of IM, such as stator voltage, stator current, power factor, torque on the shaft, a program for approximating experimental data by polynomials was developed. Using the developed mathematical model, the regulatory characteristic of IM that was optimal from an energy point of view was obtained. The necessary indicators of IM and TVC are determined (thyristor control angle, stator voltage, stator current) to change existing settings in order to save electric energy. The results of experimental studies are presented, the graph shows an optimized version of the form of the regulatory characteristic according to the criterion of minimum electric energy consumption.

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Derating factor determination of the three‐phase induction motor under unbalanced voltage using pumping system

Majeed,

Seifossadat,

Saniei

et al. 2024

IET Electric Power Appl

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A novel method is presented for determining the derating factors of a three‐phase induction motor under the condition of the unbalanced supply voltages. In this method, a mechanical system is used which consist of the a centrifugal pump, two valves, a DC motor, which are connected to the shaft of the three‐phase induction motor. A sliding mode control system is used for position control of the DC motor for adjusting the valve angle for derating the induction motor. The authors present the results of an experiment in which a three‐phase induction motor was subjected to various unbalanced voltage conditions. The results of simulations were used to look into what happened when there were different levels of imbalanced voltage. This was done to determine how these situations changed an induction motor's speed, torque, and efficiency. For this system, the stator current would be greater than the rated current if there was an imbalance in the supply voltage. Therefore, to reduce the amount of power that the three‐phase induction motor can produce, the control system uses a DC motor to reduce the angle of one of the two valves. This decreasing angle continues until the root mean square value of the stator current returns to the rated current. At this point, the derating factor may be calculated by dividing the output power of the three‐phase induction motor in the unbalanced condition by the output power when there are ideal sinusoidal. The MATLAB SIMULINK environment is utilised to perform simulations of the proposed system.

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Derating of Induction Motors Due to Power Quality Issues Considering the Motor Efficiency Class

Cited by 17 publications

References 23 publications

Smart Predictive Maintenance Device for Critical In-Service Motors

Smart Predictive Maintenance Device for Critical In-Service Motors

Experimental determination of suboptimal parameters for energy-efficient control of an induction motor

Derating factor determination of the three‐phase induction motor under unbalanced voltage using pumping system

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