M. ZORIG Assam

12th International Conference on Systems and Controls (ICSC’2024)/

ENERGY AND ENVIRONMENT

La matière a pour objectif d’informer le futur licencié sur la nature des accidents électriques, les méthodes de secours des accidentés électriques et de lui donner les connaissances suffisantes pour lui permettre de dimensionner au mieux les dispositifs de protection du matériel et du personnel intervenant dans l’industrie et autres domaines d’utilisation de ces équipements.

one installations to large-scale, grid-connected systems. When the nonlinear loads are connected to a grid-tied PV system, the power quality can deteriorate due to the active power supplied by the PV array, there’s a noticeable decline in the quality of power delivered to consumers. Its combination with the shunt active power filter (SAPF) enhances system efficiency. Consequently, this integrated system is adept at not only powering local loads but also at compensating for reactive power and filtering out harmonic currents from the main grid. The novelty of the work describes how an operation of a small scale PV system connected to the low voltage distribution system, and nonlinear load can be achieved, the investigation aims to analyze the system’s behavior and elucidate the advantages of employing various control algorithms. These proposed algorithms are designed to ensure a unity power factor for the utility grid while prioritizing high convergence speed and robustness against load power fluctuations across different levels of solar irradiation affecting the PV modules. The purpose of this work is to enhance the dynamic performance of the SAPF by cooperatively using a self-tuning filter (STF) based instantaneous active and reactive power method (PQ) with a novel predictive current control, enhance the system resilience, ensure optimal management of the total active power between the PV system, the electrical network and the non-linear load by integrating the functionalities of the SAPF under different levels of solar irradiation and maintain the DC-link capacitor voltage constant. Methods. A novel predictive current controller is designed to generate the switching signals piloted the three phase source voltage inverter, also a novel algorithm of instantaneous active and reactive power is developed, based on STF, to extract accurately the harmonic reference under non ideal grid voltage, also the perturb and observe algorithm is used to extract, under step change of solar irradiation, the maximum power point tracking of the PV module and the PI controller is used to maintain constant the DC-link capacitor voltage of the SAPF. Results. The efficacy of the proposed system is primarily centered on the grid side, and the performance evaluation of the control system is conducted using the STF based PQ algorithm and predictive current control. In addition, comprehensive testing encompasses all modes of operation, including scenarios involving distorted voltage sources, step changes in solar radiation, and variations in nonlinear loads. Results highlight superior performance in both transient and stable states, affirming the robustness and effectiveness of the proposed controllers. Practical value. The total harmonic distortion value of the grid current for all tests respects the IEEE Standard 519-1992. References 21, tables 7, figures 25.

insulators with High voltage are the key components in energy transmission systems wich may be affected by pollution. In this paper, the
performance of a cap and pin insulator is investigated with the objective of predicting the propagation of an AC surface arc on contaminated insulators
in the presence of a non- uniform electric field. To assess the performance of the insulator, the electric field simulation is carried out by using the finite
element method. Research results show that non-uniform contamination had the worst electric field profile. This work can provide a useful tool for the
design and maintenance of cap and pin insulators.

This study investigates the flashover voltage on high voltage insulators in polluted environments, employing a combination of experimental and theoretical approaches. Utilizing Analysis of Variance (ANOVA) and the Finite Element Method (FEM), the research aims to offer a thorough comprehension of the phenomenon. The experimental aspect of the study involves subjecting insulators to polluted environments, replicating real-world scenarios, and measuring the resulting flashover voltages. This experimental study focuses on investigating flashover pollution, where artificial pollution is introduced into an experimental model. An observational approach is employed to assess the impact of conductivity and pollution distribution on the 1512 L cap and pin insulator, as well as its proposed experimental model. Complementing the experimental approach, the theoretical aspect of the study employs the FEM method to simulate and model the insulator's behaviour under pollution. This computational technique enables a detailed analysis of the electrical field distribution, surface potential, and stress repartition across the surface of the insulator. Simulations further explore the impact of pollution on flashover voltage and leakage current. The FEM results are then compared with experimental findings to validate the model's accuracy and reliability. By analyzing the collected data, the ANOVA technique is applied to identify significant differences in flashover voltage under diverse pollution levels. This statistical approach allows for the determination of the most influential factors affecting insulator performance. This research offers valuable insights into the influence of flashover voltage on high-voltage insulators in polluted environments, contributing to the development of more robust and efficient insulation systems. The combination of ANOVA and FEM methods provides a robust framework for understanding and predicting insulator performance, ultimately benefiting the power industry and promoting energy sustainability.

The distribution of the electric field plays a crucial role in evaluating the effectiveness of composite insulators. This research presents an innovative approach for optimizing the design of corona rings, aiming to decrease the electric field intensity in critical areas to satisfactory levels. The investigation examined the correlation among corona ring design variables and the intensity of the electric field close to the energized-end fitting in a 220 kV composite insulator equipped with a corona ring. Using design of experiment methods, the impact of three corona ring design parameters – corona ring diameter (R), ring tube diameter (Dr), and corona ring height (H) – was assessed. A novel nonlinear mathematical objective function was formulated, connecting the electric field magnitude to the structural parameters of the corona ring. Subsequently, the Bat algorithm, a bio-inspired optimization technique, was employed to enhance the initial corona ring design and mitigate the electric field intensity. Finally, the Finite Element Method (FEM) was utilized to simulate and evaluate the voltage distribution and electric field stress. The optimization process resulted in a substantial decrease in the highest electric field magnitude, by 58.6 % compared to the insulator with the threshold value, and 75 % when devoid of a corona ring. Additionally, the research highlighted the significant influence of ring tube thickness on the distribution of the electric field. The combination of experimental design and the Bat algorithm proved to be a powerful tool for optimizing the design of corona rings on transmission line composite insulators, providing precise solutions for optimizing corona discharge problems and enhancing the reliability of power transmission systems.

12th INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND MATHEMATICAL MODELING

Abstract:
This paper proposes a double stage grid connected photovoltaic system for feeding a nonlinear load by using a shunt active power filter (APF), and ensuring in the same time a power factor correction at the Ac main, on the grid side, a perturbation and observation control is used to extract the maximum power point tracking (MPPT) from the photovoltaique generator (GPV) under changing of solar irradiance. On the other hand, an improved algorithm of instantaneous active and reactive power (PQ) is applied, based on high selective self tuning filter (STF), to extract the harmonic reference used to generate the switching signal of APF to generate the filter current via a hysteresis current control and injected them in the common coupling point at the Ac main network. In addition, it can inject excess active power generated into grid, thereby improving the power factor of the public distribution network. The proposed system and its designed control scheme are examined in response to variations in load and solar irradiation and under unbalanced grid voltage. The simulation outcomes demonstrate that the proposed system facilitates adaptable adjustment of real power exchanges with the grid, maintaining a high power factor during operation. Additionally, the total harmonic distortion (THD) of the grid current remains below 5%, aligning with the IEEE-519 standard

In this work, a study on a cap and pin insulator (1512L) is proposed to evaluate the distribution of the electric field and the potential along the insulator under different conditions. A computational and experimental study for the examination of a real insulators model is assessed. Tests on contaminated insulators in the laboratory under the suggested conditions have been carried out. Finite element methods (FEM) have been employed in the numerical analysis to assess the electrical properties of the insulator under the suggested contamination profiles, including potential and electric field. The study proposed in this paper provides an effective and practical tool for analysis and enhance the dielectric properties of the studied insulator.

2nd International Conference on Scientific and Innovative Studies ICSIS 2024

2nd International Conference on Scientific and Innovative Studies ICSIS 2024

4th International Artificial Intelligence and Data Science Congress March 14 – 15 in 2024
at İzmir/Turkey

has participated in 4th International Artificial Intelligence and Data Science Congress March 14 – 15 in 2024

4th International Conference on Innovative Academic Studies March 12 – 13 in 2024 at
Konya/Turkey.

4th International Conference on Innovative Academic Studies March 12 – 13 in 2024 at
Konya/Turkey

In this paper, a nonlinear adaptive speed controller for a permanent magnet synchronous motor
(PMSM) based on a newly developed adaptive backstepping approach is presented.
The exact, input-output feedback linearization control law is first introduced without any uncertainties in
the system. However, in real applications, the parameter uncertainties such as the stator
resistance and the rotor flux linquage and load torque disturbance have to be considered. In this case, the
exact inputoutput feedback linearization approach is not very effective, because it is based on the exact
cancellation of the nonlinearity. To compensate the uncertainties and the load torque disturbance,
the input-output feedback linearization approach is first used to compensate the nonlinearities in the
nominal system. Then, nonlinear adaptive backstepping control law and parameter
uncertainties, and load torque disturbance adaptation laws, are derived systematically by using adaptive
backstepping technique. The simulation results clearly show that the proposed adaptive
scheme can track the speed references the signal generated by a reference model, successfully, and that
scheme is robust to the parameter uncertainties and load torque disturbance.

ABSTRACT

ABSTRACT

This paper is concerned with two popular and powerful methods in electrical drive
applications: filed-oriented control (FOC) and space vector modulation (SVM). The proposed FOC-SVM
method is incorporated with a predictive current control (PCC) based technique. The suggested method
estimates the desirable electrical torque to track mechanical torque at a fixed speed operation of
permanent magnet synchronous motor (PMSM). The estimated torque is used to calculate the reference
current based on FOC. In order to improve the performance of the traditional SVM, a PCC method is
established as a switching pattern modifier. Therefore, PCC based SVM is employed to further minimize
the torque ripple and transient response to step variations of the torque command. The proposed method
has been verified with MATLAB-SIMULINK model. Simulation results confirm the ability of this
technique in torque and speed ripples and fixing switching frequency, simultaneously. However it is
sensitive to parameter changes.

Fast estimation is a critical feature of the proposed modeling approach as a “forward” fast solver that has a key role in solving the “inverse” problem involved in crack sizing, especially for real-time applications. To this end, two different inversion methods have been proposed to estimate the crack depth. The first one uses an interpolation model of the 3D direct model simulation data. The second approach is based on artificial neural networks (ANN). In this article, the rotating uniform eddy current (RUEC) probe is used to detect the normal magnetic component Bz which is defined as the characteristic signal for reconstructing the crack length and depth concurrently. Using the first approach, The Bz characteristic 3D surface is presented, and this can be modeled by a fitted polynomial interpolation equation. Thus, the crack depth can be inverted using this equation referring to the experimental or simulated Bz signal and the crack length. The ANN is outlined to determine the crack depth based on the simulated Bz signature. The move from the first inversion method to the second was flexible and useful, in which the interpolation model is used as a defect signal generator for fast building of a large and efficient database for ANN training. Both of the proposed methods proved the objectivity and accuracy of the inversion results and offered more robust engineering support for automated NDT, reducing production time and increasing productivity.

his article deals with inter-turn short-circuit fault detection in stator windings of squirrel cage induction machines. The main aim is to perform harmonic analysis of different electrical signatures namely the stator phase current, external magnetic flux and electromagnetic torque at different levels of mechanical load in order to develop an efficient fault detection approach of this kind of defect in induction machines. The proposed approach is based on the analysis of saturation related harmonics at rank
, where
is an odd number, and magnetomotive force (MMF)-related harmonics at rank
, with
in stator phase current and stray flux and harmonics at rank
in electromagnetic torque. The amplitudes of these last harmonics in healthy condition are compared with 3% power supply unbalance, 16.6% (40 turns) and 33% (80 turns) levels of inter-turn short-circuit fault in frequency range from 0 Hz to 2500 Hz under different levels of mechanical load. Besides, the stand-still test is also investigated in this work. Simulation study is carried out based on 2.2kW squirrel cage IM using finite element method (FEM). This method provides accurate and inexpensive tool for evaluating the performance of induction machine under healthy and faulty conditions. The obtained results demonstrate that the stray flux is the most sensitive signature to the stator winding inter-turn short-circuit fault, and it is robust against the power supply unbalance in comparison with both stator current and electromagnetic torque.

Frequency domain and step by step in time domain finite element analyses of the electromagnetic field in a squirrel cage inductor motor are considered for different 2D and 3D models of a rotor bar breakage process and of the end of this process - the broken bar fault.The faulty operation states of a rotor squirrel cage are correctly reflected only by the 3D models. However, there are cases when 2D approximate models, much more advantageous related the computation time and memory requirements can offer satisfactory results. Comparing 2D and 3D results, this paper shows in case of a rotor bar breakage when the option for a 2D model instead the 3D model can be accepted.

Based on finite element analysis in time domain of a squirrel cage induction motor this paper studies the influence of the three faults - stator short-circuit, broken rotor bar and static eccentricity on the mean values and harmonics of the rotor unbalanced force. Results for loaded motor operation and for no-load motor operation are compared. The healthy state of motor operation and seven faulty cases, with single, double and triple faults, are considered. All faulty cases are characterized by important increase of the rotor force compared with the healthy case.

his paper describes the use of a new approach optimization procedure to determine the design of three phase electrical motors. The novelty lies in combining a motor design program and employing a Hybrid Genetic Algorithm (HAGs) technique to obtain the maximum of objective function such as the motor efficiency. A method for evaluating the efficiency of induction motor is tested and applied on 2.2 kW experimental machines; the aforementioned is called equivalent circuit method (EC-M) and based on the analysis of the influence losses. As the equations which calculate the iron losses make call to magnetic induction. From this point, the paper proposes to evaluate the B (H) characteristic by estimating the circuit’s flux and the counting of excitation. Next, the optimal designs are analyzed by finite element method (FEM) and compared with results of another method which is genetics algorithms (GAs) optimisation …

Le but de cet article est de visualisé l'effet
des pertes variable qui augmentent avec la charge et
les pertes constantes (pertes fer) sur le comportement
thermique de moteur asynchrone. La modélisation est
basée sur la théorie de dissipation de puissance, de
transfert de chaleur et du taux de croissance de la
température au stator et au rotor, en prenant en
compte l’effet de la vitesse sur les échanges. En
développement des machines électriques en général, et
les moteurs asynchrones en particulier, la température
limite est un facteur principal affectant l'efficacité de
la conception globale. Puisque le chargement
conventionnel des moteurs asynchrone est souvent très
chère, l'estimation de l'augmentation de la température
par des outils de modèle mathématique et
d'expériences informatiques devient de plus en plus
importante. Ensuite on a utilisé notre model pour faire
une surveillance thermique de chaque enroulement du
moteur. Les résultats trouvés sont en bonne
concordance avec des résultats des articles et
expérimentales.
Mots clés : MAS, Modélisation Thermique, Pertes fer,
Transfert de Chaleur, Température Limite,
Surveillance Thermique.

ABSTACT

bstract—the paper presents the application of a finite
element method for predicting the performance of
induction motor having broken rotor bars. The detailed
insight in magnetic field distribution of a squirrel cage
induction motor forms the basis for further evaluation of
its operational behavior. Increasing anomaly in magnetic
field distribution due to the increasing number of broken
rotor bars results in a degradation of steady-state and
dynamic performance of induction motor and can be
determined with computer simulation eliminating
expensive and time consuming laboratory tests. Correct
evaluation of faulty motor performance is very significant
part of condition monitoring and diagnostic procedure in
modern supervision systems of electrical drives