Modeling Electric Field and Potential Distribution of an Model of Insulator in Two Dimensions by the Finite Element Method

The electrical effects can be written by two magnitudes the field and the electrostatic potential, for the determination of the distribution of the field and the electric potential along the leakage distance of the polluted insulator, the comsol multiphysics software based on the finite element method will be used. The objective of this paper is the modeling electric field and potential distribution in Two Dimensions by the Finite Element Method on a model of insulator simulating the 1512L outdoor insulator used by the Algerian company of electricity and gas (SONELGAZ). This model is under different conductivity, applied voltage, position of clean layer and width of clean layer. The computer simulations are carried out by using the COMSOL multiphysics software. This paper describes how Comsol Multiphysics have been used for modeling of the insulator using electrostatic 2D simulations in the AC/DC module. Numerical results showed a good agreement

Detection and Diagnosis faults in Machine asynchronous based on single processing

In this work, we proposed multi-winding model for the simulation of broken bars in squirrel cage asynchronous machine, this model allows to study the influence of the broken bar defects on the behavior general of machines in different operating conditions (healthy and faulty). The breaking of the most frequent bars of the rotor causes oscillations of the torque, speed, and the current, the increase of the resistance of the rotor creates the defects proportional with the number of breaks bar K .The diagnosis fault using technique of single processing based on Spectrum analysis for detection broken bar. The results of the simulation obtained allowed us to show the importance of this technique for detection broken bar

Particle swarm optimization of a neural network model for predicting the flashover voltage on polluted cap and pin insulator

This paper proposes training an artificial neural network (ANN) by a particle swarm optimization (PSO) technique to predict the flashover voltage of outdoor insulators. The analysis follows a series of real-world tests on high-voltage insulators to form a database for implementing artificial intelligence concepts. These tests are performed in various degrees of artificial contamination (distilled brine). Each contamination level shows the amount of contamination in milliliters per area of the isolator. The acquisition database provides values of flashover voltage corresponding to their electrical conductivity in each isolation zone and different degrees of artificial contamination. The results show that ANN trained by PSO can not only provide better prediction results, but also reduce the amount of computation efforts. It is also a more powerful model because: it does not get stuck in a local optimum. In addition, it also has the advantages of simple logic, simple implementation, and underlying intelligence. Compared to the results obtained by practical tests, the results obtained present that the PSO-ANN technique is very effective to predict flashover of high-voltage polluted insulators

Modélisation D’un Isolateur Dans Les Conditions De Pollution Sous Tension Alternative 50Hz.

Les lignes aériennes de transport et de distribution d'énergie électrique sont exposées à diverses contraintes. Parmi celles-ci, la pollution des isolateurs. La présence de pollution entraine la dégradation des propriétés électriques de l’isolateur des lignes de transport, et favorise l’apparition de l’arc de contournement. Ce travail a été réalisé dans ce cadre, dans un premier temps, nous examinons l’impact de la conductivité ainsi que la répartition de la pollution sur le comportement de l’isolateur capot et tige 1512L, artificiellement pollué. De plus, l'influence de la pollution sur la tension de contournement, le courant de fuite ainsi le déphasage (tension-courant) sont étudiés. Enfin, le comportement du modèle réel et expérimental de l'isolant est étudié. Les résultats obtenus montrent que la présence d'une couche de pollution sur la surface d'un isolateur modifie complètement le comportement de l’isolateur de haute tension. Dans un second temps, nous avons proposé un nouveau concept de simulation numérique basé sur la logique floue et les réseaux de neurones artificiels comme deux techniques d’intelligence artificielle pour prédire la tension de contournement, où l’isolateur est soumis à une tension Alternative 50Hz. Les résultats obtenus ont montré la capacité et la facilité d’utiliser la logique floue et les réseaux de neurones artificiels dans de telles études. Dans la dernière étape, la prédiction des performances de l'isolateur réel sous pollution. Pour ce faire, la distribution du potentiel et du champ électrique le long de l'isolateur de haute tension est étudiée à l'aide d'une méthode numérique. Les résultats sont favorables et prometteurs

Etude du Comportement d’un Isolateur de Haute Tension Soumis à Diverses Conditions de Pollution

Dans ce travail, nous examinons l’impact de la conductivité ainsi que la répartition de la pollution sur le comportement de l’isolateur capot et tige 1512L, artificiellement pollué. Pour cela, une solution (saline à base de NaCl, et eau distillée), ayant différentes conductivités est utilisée pour une distribution discontinue de la pollution par pulvérisation de la surface du modèle expérimental, et remplissage de modèle réel ont été appliquées sous tension alternative. L’influence de ces paramètres sur la tension de contournement, le courant de fuite, ainsi le déphasage courant-tension a été étudiée

Development of a Flashover Voltage Prediction Model with the Pollution and Conductivity as Factors Using the Response Surface Methodology

In this paper, the response surface methodology (RSM) is used to predict the flashover voltage of a cap and pin 1512L insulator used by SONELGAZ Algerian Power Company (SPE). The pollution and conductivity are studied using a two-level central composite design. MINITAB 19 software is used to perform the regression analysis and analysis of variance (ANOVA) of the data, from which the full quadratic model is developed. The results show that both the pollution and conductivity have a significant effect on the response. The model validation shows the good agreement between the experiment’s obtained results and the predicted results. Therefore, the model could be used to predict the flashover voltage

Optimization of fractional order PI controller using metaheuristics algorithms applied to multilevel inverter for grid connected PV

Due to its multiple advantages in industrial and grid-connected applications, Multi-Level Inverters (MLIs) have increased in popularity in recent years. To improve the efficiency of a grid-connected PV system's integrated multi-level inverter fractional order PI (FOPI) controllers are used to describe the control process. The control system is made up of three control loops based on FOPI controllers: one for controlling the intermediate circuit voltage (Vdc) and the other two for controlling the direct and quadratic currents (Id, Iq) supplied by the multilevel inverter. The proposed controller parameters (Kp, KI, λ) must be selected in order to increase the efficiency of the multi-level inverter while decreasing the total harmonic distortion (THD) of the output current of the inverter as well as voltage. For this we used three meta-heuristic algorithms (PSO, ABC, GWO). The performance of the three controllers PSO-FOPI, ABC-FOPI and GWO-FOPI controller is compared. The findings showed that GWO-FOPI performs better than the other PSO-FOPI and ABC-FOPI in accuracy and total harmonic distortion THD term. The simulation will be conducted using Matlab/Simulink

Development of a Flashover Voltage Prediction Model with the Pollution and Conductivity as Factors Using the Response Surface Methodology

In this paper, the response surface methodology (RSM) is used to predict the flashover voltage of a cap and pin 1512L insulator used by SONELGAZ Algerian Power Company (SPE). The pollution and conductivity are studied using a two-level central composite design. MINITAB 19 software is used to perform the regression analysis and analysis of variance (ANOVA) of the data, from which the full quadratic model is developed. The results show that both the pollution and conductivity have a significant effect on the response. The model validation shows the good agreement between the experiment’s obtained results and the predicted results. Therefore, the model could be used to predict the flashover voltage

Finite element modeling for electric field and voltage distribution along the cap and pin insulators under pollution

The knowledge of the behavior of both the electric potential and electric field is one of the main factors needed when designing an insulator. Using AutoCAD software a 2D cap and pin 1512L insulator model was created in the clean state and under pollution from one to five insulators separately making a chain of insulators for a total of 10 models. Later they are imported to COMSOL Multiphysics 5.6 software, simulations of the 1512L insulator were made to see the effect the pollution has and the differences that occur on the distribution with the addition of more insulators in the chain. The potential distribution starts to develop a pattern after a certain number of insulators in the chain while the pollution induces high value spikes in thefield distribution. Finite-element-analysis for numerical simulation of the pollution effect in outdoor insulators: a review and a novel method

Impact of heterogeneous cavities on the electrical constraints in the insulation of high-voltage cables

In this paper, we use the comsol multiphysics software, which is based on the finite element method in AC/DC 2D electrostatic. Our study shows the effect of heterogeneous cavities on the functioning of electrical cables. Our mini-project contains the study of electric field distribution and potential of a model of high voltage cable; we took into account the absence and the presence of heterogeneous cavities. The study was conducted using numerical results with mathematical validation. The results are favorable and promising