Browsing by Author "Parveen, Shabnam"

Now showing 1 - 4 of 4

A time-efficient and innovative method to determine the dp value of power transformer insulation /
(IEEE, 2024-11-22) Mishra, Deepak; Parveen, Shabnam
The DP value is a robust and reliable parameter for estimating the state of cellulose-based insulation in power transformers. However, its practical application is limited due to the invasive nature of testing. Hence, a methodology is reported in the present work to predict DP value using Polarization Depolarization recorded for a short duration. Reported results later in this paper suggest that the initial rate of measured polarization current can be used to forecast the DP value. The suggested method was successfully tested on several specimens (having different amounts of moisture percentages) prepared in the laboratory.
Reliable sensing of insulation sensitive performance parameters using time domain-based measurement at different temperatures /
(IEEE, 2023-09-05) Mishra, Deepak; Parveen, Shabnam
The amount of moisture and conductivity are the two crucial parameters that signify the condition of oil–paper insulation (OPI). The reliable sensing of moisture and conductivity of solid insulation requires a fully measured profile of polarization–depolarization current (PDC) data, which is monotonically decaying in nature. The measured PDC data are significantly influenced by measuring temperature. Hence, sensed values of insulation sensitive parameters may provide ambiguous information related to insulation state due to temperature variation. In the present work, an efficient method is suggested, which can be used for sensing crucial performance parameters (such as paper moisture and paper conductivity) using the dielectric response measured at various temperatures. The proposed methodology provides an easy way to sense paper moisture and paper conductivity that will be independent of the measured temperature. In order to test the capability of suggested method, the analysis is performed on the data collected from in-service power transformer insulation. Research findings show that the proposed technique can be applied to data collected from in-service power transformers for sensing insulation condition-sensitive parameters.
Sensorless field oriented control of AC induction motor using PI, PD & PID controllers
(IEEE, 2022-11-20) Antony, Nikhil John; Mishra, Deepak; Parveen, Shabnam
With the Field-Oriented Control (FOC) vector approach, the control of the induction motor behaves similar to that of a separately excited dc motor. The torque and flux components in the d-q rotating reference frame can be independently controlled with the help of unit vectors. The main focus of the present work is to show the effective utilization and feasibility of field-oriented control of AC induction motors using PI, PD, and PID controllers without using any physical sensors and using observers. The speed, torque, and position in this scheme are estimated, analyzed, and simulated with the help of a motor control block-set in MATLAB/Simulink for a (10HP, squirrel cage induction motor) to a VSI using the SVPWM for effective modulation.
Sensorless field oriented control of ac induction motor using pi, pd & pid controllers /
(IEEE, 2022-11-20) Antony, Nikhil John; Mishra, Deepak; Parveen, Shabnam
With the Field-Oriented Control (FOC) vector approach, the control of the induction motor behaves similar to that of a separately excited dc motor. The torque and flux components in the d-q rotating reference frame can be independently controlled with the help of unit vectors. The main focus of the present work is to show the effective utilization and feasibility of field-oriented control of AC induction motors using PI, PD, and PID controllers without using any physical sensors and using observers. The speed, torque, and position in this scheme are estimated, analyzed, and simulated with the help of a motor control block-set in MATLAB/Simulink for a (10HP, squirrel cage induction motor) to a VSI using the SVPWM for effective modulation.