Publications

Publications

Performance Enhancing Speed Control of a DC Motor Based on an Artificial Neural Network
Oct 28, 2024

Journal Journal Europeen des Systemes Automatises

Publisher International Information and Engineering Technology Association

DOI https://doi.org/10.18280/jesa.570524

Issue Issue 5

Volume Volume 57

This paper employs artificial neural networks (ANNs) in estimating and controlling the speed of a separately excited DC motor, which is also one of the most essential modern techniques used in control applications and to enhance the effectiveness of separately excited DC motor speed control. For speed control of a separately excited DC motor, the paper compares the performance of the conventional proportional integral (PI) and artificial neural networks (ANNs). A neural network (NNs) based controller is an extremely appreciated technology for accomplishing high-recital speed control. The simulation results are expose to demonstrate the efficacy and advantage of the control system of a separately excited DC motor (SEDCM) using ANNs over the traditional control arrangement. The integration of (ANNs) has shown significant improvements in performance in speed control of DC motors separately excited, chiefly in dynamic response and robustness in contradiction of load variations. This technique leverages the adaptive competences of ANNs to improve traditional control methods. In this manuscript, two controller for speed control of SEDCM are designed and simulated using matlab Simulink program. The first one is the PI controller and the second is the ANN controller, the results of the ANN controller based speed control of the SEDCM give quick response, low overshot, small settling time, zero steady state error when sudden change happened in reference speed or load torque. In addition, as compared with the results of PI controller which give slow response, high overshot, large settling time under the same conditions.

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DETECTION AND IDENTIFICATION OF FAULT IN TRANSMISSION LINES BASED ON ANN
Mar 14, 2024

Journal Diagnostyka

Publisher Polish Society of Technical Diagnostics

DOI https://doi.org/10.18280/jesa.570524

Issue Issue 2

Volume Volume 25

Along with power transmission lines' efficiency, another crucial factor in electrical power transmission networks is reliability, which guarantees power transmission stability. One of the crucial and essential tasks for maintaining the continuity and stability of power transmission in transmission networks Capacity without any significant failures is identifying errors and malfunctions in power transmission lines as soon as possible. The goal of this article is to develop and apply ANN technology to overcome the obstacles faced by the electrical power transmission network. In order for the ANN to learn useful patterns and features from raw current measurements, pre-processing and feature extraction techniques are used during the training process. Real-time applications can benefit from the ANN's architecture, which is optimized for high accuracy, quick response times, and scalability. To validate the performance of the ANN-based fault detection system, extensive simulations are conducted using data from different transmission line scenarios, including various fault types that short-circuit. The results demonstrate the capability of the ANN model to accurately detect and classify faults, as well as disconnect the power grid after detect any fault. The results showed the accuracy and high speed of the proposed method using a neural network compared to traditional methods.

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Performance enhancement of small-scale wind turbine based on artificial neural network
Mar 29, 2023

Journal International Journal of Power Electronics and Drive Systems (IJPEDS)

Publisher Institute of Advanced Engineering and Science (IAES)

DOI http://doi.org/10.11591/ijpeds.v14.i3.pp1722-1730

Issue Issue 3

Volume Volume 14

Small-scale wind turbine is typically designed to resisted extreme wind; this work aims to adjust their pitch angle based on simulations that use standardization codes for wind turbines. Proportional integral derivative (PID) and artificial neural network (ANN) controllers are used to control the speed of wind turbines. The ideal action for controlling the blade pitch angle can be attained by providing the controller with speed information ahead of time, allowing the controller to provide the best action for blade pitch angle control. The results of this work represent the relationship between the turbine speed with respect to time at different pitch angle. It has been concluded that the ANN controller produced the best time response as compared with the PID controller.

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An intelligent overcurrent relay to protect transmission lines based on artificial neural network
Feb 2, 2023

Journal International Journal of Power Electronics and Drive Systems (IJPEDS)

Publisher Institute of Advanced Engineering and Science (IAES)

DOI http://doi.org/10.11591/ijpeds.v14.i2.pp1290-1299

Issue Issue 2

Volume Volume 14

Power systems are susceptible to faults due to system failures or natural calamities. This could be caused by damage to power system components, resulting in an interruption of power delivery to clients. Overcurrent relays are important relays that protect distribution feeders, transmission lines, transformers, and other components. The intelligent relay can perform both primary and secondary functions. Line-to-ground (L-G) faults are the most common occurrence in long transmission lines, posing a serious threat to electrical equipment. This article presents improved fault classification for transmission line overcurrent protection and highlights the use of artificial neural network (ANN) techniques to protect transmission lines of 100 km (terco type). An ANN is used to classify the faults. A back propagation neural network (BPNN) is used in this case. The neural network has been trained to classify faults in transmission lines for overcurrent protection. Various fault conditions are considered. In the event of a fault condition, the output of a neural network will be a tripping signal. The MATLAB neural network tool and the Simulink package are used to model the suggested method.

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Design and Implementation of Differential Relay Based on Graphical User Interface
Jul 31, 2022

Journal Przeglad Elektrotechniczny

Publisher Wydawnictwo SIGMA - N O T Sp. z o.o.

DOI doi:10.15199/48.2022.07.31

Issue Issue 7

Volume Volume 98

This paper demonstrates a differential relay (DR) which can be used to protect a power transformer based on the Graphical User Interface (GUI) Matlab program. The GUI may aid end users in running simulations without changing the input and parameters, allowing them to see the model's performance without having to understand the model's intricacies. This model was used to detect balanced and unbalanced faults, and it was noted that in the case of using GUI, the fault response speed was faster. The model has been put through its paces under a range of operating situations. The results show that the model was successful in recognizing internal faults while avoiding running into external faults. The results indicate that everything was done correctly.

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Simulation of sheath voltage, losses and loss factor of high voltage underground cable using MATLAB/Simulink
Jan 24, 2022

Journal International Journal of Power Electronics and Drive Systems (IJPEDS)

Publisher Institute of Advanced Engineering and Science (IAES)

DOI http://doi.org/10.11591/ijpeds.v13.i1.pp200-215

Issue Issue 1

Volume Volume 13

In this paper, 22 equations for high voltage cable sheaths are simulated in one model. The model outputs are represented by cable sheath voltages, circulating currents, losses and factors, eddy currents, losses, and factors in both tides laying states (trefoil and flat) when grounding the sheaths from a single point, two points, or cross-link. These values depend on the cable manufacturing's specific factors. The other factors affecting these values are specific to the laying and operation: the load current, the length of the cable to be laid out, the spacing between the cables, and the power frequency. This research aims to reduce or eliminate the losses of the cable sheath. These two types of currents cause losses that may sometimes equal the losses of the conductor of the cable carrying the load current. Which reduces the capacity of the cable and reduces the heat dissipation of the cable into the soil and damages it. Electricians are at risk of electrocution due to the high voltages of the sheaths when there is no current in the sheaths. Therefore, these currents and voltages must be eliminated by making a new model that studies the effect of all these factors on them. © 2022, Institute of Advanced Engineering and Science. All rights reserved.

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An intelligent differential protection of power transformer based on artificial neural network
Jan 3, 2022

Journal Bulletin of Electrical Engineering and Informatics

Publisher Institute of Advanced Engineering and Science (IAES)

DOI https://doi.org/10.11591/eei.v11i1.3547

Issue Issue 1

Volume Volume 11

This paper describes the application of artificial neural network (ANN) techniques for protecting small power transformer 2 kVA (Terco type). ANN network trained according to the primary and secondary currents data under NN tool, this network performs as a function of differential protection relay. Symmetrical and unsymmetrical faults are analyzed using Matlab environment. ANN network senses the difference in the internal current of both transformer sides and sending a trip to the circuit breaker (CB) at moment of fault occurrence. All the voltages and the currents waveforms affected with the fault and the response time increased according to this technique. Finally, the trip signal and the quick disconnect time were improved according to ANN technique. © 2022, Institute of Advanced Engineering and Science. All rights reserved.

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Protection Transformer and Transmission Line in Power System Based on MATLAB Simulink
Oct 1, 2021

Journal Przeglad Elektrotechniczny

Publisher Wydawnictwo SIGMA - N O T Sp. z o.o.

DOI https://doi:10.15199/48.2021.10.04

Issue Issue 10

Volume Volume 97

The main objective of this research work is to build a simulation model of a power system based on MATLAB to detect the faults (symmetric and asymmetric). We also know that the electric power system is made up of important and costly components, so these parts must be protected. The major purpose of this article is to studies and analysis the different faults and declares the impact on power system. Two types of protection are used, differential protection and overcurrent protection. This work is approach to MATLAB/SIMULINK package. In this work, a laboratory board was designed to represent an electrical power system consist of three stages: generation units, transmission lines and distribution systems. © 2021 Wydawnictwo SIGMA-NOT. All rights reserved.

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Differential Relay Protection for Prototype Transformer
Jun 30, 2021

Journal Przeglad Elektrotechniczny

Publisher Wydawnictwo SIGMA - N O T Sp. z o.o.

DOI https://doi:10.15199/48.2021.06.30

Issue Issue 6

Volume Volume 97

This paper represents the differential protection relay that used to protect the prototype-Terco power transformer. Matlab/Simulink is used to simulate the protection system. The power differential protection algorithm has been simulated and tested on a 2KVA power transformer under different faults. During normal operating conditions, current will flow through all phase of the power transformer within predesigned values which are appropriate to these elements rating and the faults can be classified as the flow of a massive current. the results signify suitable completion.

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Design and implementation of overcurrent relay to protect the transmission line
Oct 1, 2020

Journal International Journal of Engineering Research and Technology

Publisher International Research Publication House

DOI https://doi:10.15199/48.2021.06.30

Issue Issue 11

Volume Volume 13

Power system is prone to faults, because of disoperation of the system or by the natural disasters. This may be caused with damage the components of power system leading to great tasked for their subrogation and cutting the power supply to customers. In this period, much power is exhausted and this stipulation is increasingly transmitted by using transmission line, from one side or place to another side. Different kinds fault may occur in these transmission lines. The major purpose of this article is to analysis and studies the different faults and also declares the impact on transmission line. This work is approach to MATLAB/SIMULINK package. In this work we connect a 100Km terco type and the various cases of fault types are studied where over current relays (OCRs) are used in this work. © International Research Publication House

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PI controller for DC motor speed realized with simulink and practical measurements
Mar 1, 2020

Journal International Journal of Power Electronics and Drive Systems (IJPEDS)

Publisher Institute of Advanced Engineering and Science (IAES)

DOI http://doi.org/10.11591/ijpeds.v11.i1.pp119-126

Issue Issue 1

Volume Volume 11

This article describes the methodology of speed control by understanding control method of DC motor, definitely, armature and field resistances with additional to armature voltage control methods. The speed of DC motor is controlled PI controller as donor in this work. Using Matlab simulation and practical measurements, Terco DC motor speed control is achieved in this work. The results that obtained from Matlab simulation circuit is appeared approximately similar that obtained by practical connection. © 2020, Institute of Advanced Engineering and Science. All rights reserved.

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Harmonics Resonance Effect Solution in Industrial Systems using Active Static Compensation Circuit
Feb 13, 2019

Journal 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering, ICECCPCE 2019

Publisher IEEE

DOI 10.1109/ICECCPCE46549.2019.203765

Most of the industrial loads are linear and nonlinear loads, which generate harmonics and poor power factor. Capacitor banks or passive power filters can be used to correct power factor and eliminate certain harmonics which may cause resonance between the power system inductance and the compensation circuits. It is required to avoid the effect of resonance even when new methods and techniques are used for improving power quality. Active static compensation circuit (ASCC) is designed and used in this paper to improve the system power quality at different load conditions. The proposed ASCC is controlled using adaptation modified pulse width modulation (AMPWM). The MPWM algorithm is built to drive the ASCC in order to eliminate resonance effects, reduce THD in the AC source, and improve power factor simultaneously at different load conditions. Simulation results clarify that the suggested ASCC is effective in improving power quality of the system at both steady-state and dynamic operating conditions.

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The environment coefficients effect on I-V and P-V characteristics curves of photovoltaic cell using Matlab/Simulink
Sep 25, 2018

Journal International Journal of Engineering and Technology(UAE)

Publisher Science Publishing Corporation Inc

DOI https://doi.org/10.14419/ijet.v7i4.10381

Issue Issue 4

Volume Volume 7

Many parameters and environments conditions will affect the behavior of the photovoltaic cell. This paper investigates, theoretically the variation of each temperature and irradiation effects on the output of the photovoltaic cell characteristics. Modeling of the photovoltaic cell scheme essentially requires taking weather data (temperature and irradiance) as input variables. The photovoltaic outputs are the current, voltage and power. Though, conclude the characteristics I-V or P-V desires of these important variables. Any variation in the entries directly shows variations in outputs. The characteristic curves are obtained with the use practical readings and measurements are illustrated directly from the solar power plant in the Technical Engineering College of Mosul. The complete modeling is then computer-generated using MATLAB/Simulink software owing to its common use and its helpfulness.

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Power factor correction of AC to DC converter using boost chopper
Jan 1, 2018

Journal Journal of Engineering and Applied Sciences

Publisher Medwell Journals

DOI http://doi.org/10.11591/ijpeds.v11.i1.pp119-126

Volume Volume 13

ctive Power Factor (PF) correction filter alliterates to ameliorate (PF) and meiosis Total Harmonic Distortion (THD) that play an important role for correction the line current. DC to DC chopper in closed loop system in brought nearer to unity. When therapy the (THD) ratio in the input side this lead to antialiasing the (PF). The analysis and design of the proposed research is carried out using MATLAB/Simulink.