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Articles 2311 - 2340 of 3106
Full-Text Articles in Computer Engineering
Lattice Approach To Video Steganography, Onur Ünlü, Hacer Karacan
Lattice Approach To Video Steganography, Onur Ünlü, Hacer Karacan
Turkish Journal of Electrical Engineering and Computer Sciences
As a result of the continuously increasing amount of important data, the demand for information security increases daily. Steganographic techniques can play a considerable role in solving this issue, since they can hide the necessary data. Generally, audio and image files have been utilized as hiding media in this area. However, because of their limited capacity, these media limit the amount of hidden information. On the other hand, the capacity limit can be exceeded by applying steganography on video files. There are few studies on video steganography in the literature. In this study, a steganographic library, which is independent of …
Comparison Of Clustering Techniques For Traffic Accident Detection, Nejdet Doğru, Abdülhami̇t Subaşi
Comparison Of Clustering Techniques For Traffic Accident Detection, Nejdet Doğru, Abdülhami̇t Subaşi
Turkish Journal of Electrical Engineering and Computer Sciences
Transportation infrastructure in intelligent transportation systems (ITSs) is complemented with information and communication technologies to achieve better passenger safety and reduced transportation time, fuel consumption, and vehicle wear and tear. This paper shows how data mining techniques are used in ITSs for accident detection and prevention on motorways. In traffic, vehicles show similar behavior to that of vehicles in closed neighborhoods. Vehicles that show different behaviors than neighbor vehicles in cases like accidents, inappropriate lane changes, and speeding can be considered as anomalies and detected. In this paper, a traffic accident is simulated and the effectiveness of different clustering techniques …
Assessment Of Vehicular Transportation Quality Via Smartphones, Ahmet Alper Teci̇mer, Zi̇ya Ci̇han Tayşi̇, Ali̇ Gökhan Yavuz, Mi̇ne Eli̇f Karsligi̇l Yavuz
Assessment Of Vehicular Transportation Quality Via Smartphones, Ahmet Alper Teci̇mer, Zi̇ya Ci̇han Tayşi̇, Ali̇ Gökhan Yavuz, Mi̇ne Eli̇f Karsligi̇l Yavuz
Turkish Journal of Electrical Engineering and Computer Sciences
Despite alternative transportation opportunities, road transportation still occupies an important part of our daily lives. Ever-advancing technological developments set high expectations of vehicular comfort and safety. Thus, it is necessary to develop systems that are able to detect and classify events related to the comfort and safety of vehicular transportation. Researchers have proposed several systems to monitor the quality of vehicular transportation. However, most of these systems are only capable of monitoring either road conditions or driving behaviors. Also, many of them are not easily applicable in real life because of special installation requirements and maintenance procedures with highly specialized …
Central Coordination Relay For Distribution Systems With Distributed Generation, Fati̇h Mehmet Nuroğlu, Ayşen Basa Arsoy
Central Coordination Relay For Distribution Systems With Distributed Generation, Fati̇h Mehmet Nuroğlu, Ayşen Basa Arsoy
Turkish Journal of Electrical Engineering and Computer Sciences
As distributed generation resources penetrate into distribution systems, protection and service continuity are becoming major issues. A new approach for protection coordination and higher reliability of a distribution system with distributed generation is explored in this paper. The concept of central coordination relay (CCR) is developed for this purpose. After a brief introduction of the design and operating procedures of CCR, the utilization of the proposed relay on two feeders of a substation in the Kocaeli region of Turkey is simulated using DIgSILENT PowerFactory. The study results show that CCR can provide better protection coordination and improved reliability indices for …
Dual Open-End Stator Winding Induction Machine Fed By Redundant Voltage Source Inverters, Sami Guizani, Faouzi Ben Ammar
Dual Open-End Stator Winding Induction Machine Fed By Redundant Voltage Source Inverters, Sami Guizani, Faouzi Ben Ammar
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the authors propose the availability analysis of a dual open-end stator windings asynchronous machine. Each open-end stator winding is supplied by two PWM voltage source inverters. The active and passive redundancy of the inverters improves reliability, availability, and safety of the system since the loss of inverter losses does not stop the machine. Indeed, for active redundancy, in the case of failure of the inverter, the corresponding winding is disconnected and the other winding is supplied by the two healthy inverters. For passive redundancy, one winding is fed by two inverters and the two others are waiting; …
Improving The Drain-Current Expression Of Bsim4 For Hot-Carrier Degradation Modeling That Is Suitable For Analog Applications, Gürsel Düzenli̇
Improving The Drain-Current Expression Of Bsim4 For Hot-Carrier Degradation Modeling That Is Suitable For Analog Applications, Gürsel Düzenli̇
Turkish Journal of Electrical Engineering and Computer Sciences
The reliability evaluation of MOS transistors is one of the most important subjects in device engineering and VLSI design. The down-scaling of device dimensions adversely affects device reliability and lifetime. Although different factors contribute to device reliability and lifetime, the most influential factor is hot-carrier degradation. Furthermore, hot-carrier degradation affects each application uniquely. In analog applications, hot-carrier degradation is more complex and diverse relative to digital applications. In this study, we improve the BSIM4 drain-current model to develop a hot-carrier degradation model that is suitable for both analog and digital applications. Our approach is readily applicable to all process technologies …
Bull Optimization Algorithm Based On Genetic Operators For Continuous Optimization Problems, Oğuz Findik
Bull Optimization Algorithm Based On Genetic Operators For Continuous Optimization Problems, Oğuz Findik
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the researcher proposes a new evolutionary optimization algorithm that depends on genetic operators such as crossover and mutation, referred to as the bull optimization algorithm (BOA). This new optimization algorithm is called the BOA because the best individual is used to produce offspring individuals. The selection algorithm used in the genetic algorithm (GA) is removed from the proposed algorithm. Instead of the selection algorithm, individuals initially produced attempt to achieve better individuals. In the proposed method, crossover operation is always performed by using the best individual. The mutation process is carried out by using individual positions. In …
Modified Particle Swarm Optimization For Economic-Emission Load Dispatch Of Power System Operation, Mohd Noor Abdullah, Ab Halim Abu Bakar, Nasrudin Abd Rahim, Hazlie Mokhlis
Modified Particle Swarm Optimization For Economic-Emission Load Dispatch Of Power System Operation, Mohd Noor Abdullah, Ab Halim Abu Bakar, Nasrudin Abd Rahim, Hazlie Mokhlis
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a modified particle swarm optimization considering time-varying acceleration coefficients for the economic-emission load dispatch (EELD) problem. The new adaptive parameter is introduced to update the particle movements through the modification of the velocity equation of the classical particle swarm optimization (PSO) algorithm. The idea is to enhance the performance and robustness of classical PSO. The price penalty factor method is used to transform the multiobjective EELD problem into a single-objective problem. Then the weighted sum method is applied for finding the Pareto front solution. The best compromise solution for this problem is determined based on the fuzzy …
Color Texture Image Classification Based On Fractal Features And Extreme Learning Machine, Erkan Tanyildizi
Color Texture Image Classification Based On Fractal Features And Extreme Learning Machine, Erkan Tanyildizi
Turkish Journal of Electrical Engineering and Computer Sciences
Texture classification, especially color texture classification, is considered a significant step in segmentation and object classification. The property of color and texture is important for characterizing objects in natural scenes. Fractal dimension (FD) has many applications in the field of image compression and image segmentation. A series of FD features, such as mean, standard deviation, lacunarity, kurtosis, skewness, entropy, inverse difference moment, contrast, energy, dissimilarity, homogeneity, and maximum probability, are investigated for obtaining the maximum discrimination. In this manuscript, a methodology is proposed that is based on FD and an extreme learning machine for color texture classification. Performance of the …
Speech Emotion Recognition Using Nonlinear Dynamics Features, Ali Shahzadi, Alireza Ahmadyfard, Ali Harimi, Khashayar Yaghmaie
Speech Emotion Recognition Using Nonlinear Dynamics Features, Ali Shahzadi, Alireza Ahmadyfard, Ali Harimi, Khashayar Yaghmaie
Turkish Journal of Electrical Engineering and Computer Sciences
Recent developments in man--machine interaction have motivated researchers to recognize human emotion from speech signals. In this study, we propose using nonlinear dynamics features (NLDs) for emotion recognition. NLDs are extracted from the geometrical properties of the reconstructed phase space of speech signals. The traditional prosodic and spectral features are also used as a benchmark. The Fisher discriminant ratio acts as a filter to remove irrelevant features quickly. Then a wrapper method based on a genetic algorithm and support vector machine is employed to find the best feature subset that obtains the maximum recognition rate. The classification accuracy of the …
Ethernet-Based Automation Network Systems Mobile Laboratory: A Case Study In Nonlinear Control Of Water Tank System, Levent Ucun, Onur Akbati, Gali̇p Cansever
Ethernet-Based Automation Network Systems Mobile Laboratory: A Case Study In Nonlinear Control Of Water Tank System, Levent Ucun, Onur Akbati, Gali̇p Cansever
Turkish Journal of Electrical Engineering and Computer Sciences
This paper studies an automation network configuration for the concept of a mobile laboratory establishment. The study also covers the design and implementation of a nonlinear controller for the water tank system as a case study. The design and establishment of the mobile laboratory is involved in CoNeT (Cooperative Network Training), a European Union-funded project that aims to design mobile laboratories for different uses in industrial network systems to be used for both application-oriented research and training. In addition to automation network communication and nonlinear controller design, this study also includes Modbus communication analysis and Ethernet traffic monitoring in an …
The Simulation And Production Of Glow Plugs Based On Thermal Modeling, Mustafa Saci̇d Endi̇z, Muci̇z Özcan, Mehmet Aki̇f Eri̇şmi̇ş, Mustafa Yağci, Hi̇dayet Günay
The Simulation And Production Of Glow Plugs Based On Thermal Modeling, Mustafa Saci̇d Endi̇z, Muci̇z Özcan, Mehmet Aki̇f Eri̇şmi̇ş, Mustafa Yağci, Hi̇dayet Günay
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, we present the thermal behavior of a glow plug examined with thermal impedance modeling. The circuit model is based on the analogy of thermal and electrical domains and expresses the glow plug used in diesel engines to preheat the air-diesel fuel mixture. In this study, the circuit design, implementation, and simulation of a glow plug for diesel engines are illustrated. In order to verify this thermal model, 2 different glow plugs are produced. The test results of the glow plugs produced in this study show complete agreement with the simulation results. It is thought that this circuit-based …
Automatic Vehicle Classification Using Fast Neural Network And Classical Neural Network For Traffic Monitoring, Mahammad Abdul Hannan, Chew Teik Gee, Mohammad Saleh Javadi
Automatic Vehicle Classification Using Fast Neural Network And Classical Neural Network For Traffic Monitoring, Mahammad Abdul Hannan, Chew Teik Gee, Mohammad Saleh Javadi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces an automatic vehicle classification for traffic monitoring using image processing. In this technique the fast neural network (FNN) as a primary classifier and then the classical neural network (CNN) as a final classifier are applied to achieve high classification performance. The FNN gains a useful correlation between the input and the weighted neurons using a multilayer perceptron to provide detection with a high level of accuracy. The Fourier transform is used to speed up the procedure. In the CNN, a lighting normalization method is employed to reduce the effect of variations in illumination. The combination of the …
Grounded Capacitor-Based New Floating Inductor Simulators And A Stability Test, Erkan Yuce, Sezai̇ Tokat, Hali̇l Alpaslan
Grounded Capacitor-Based New Floating Inductor Simulators And A Stability Test, Erkan Yuce, Sezai̇ Tokat, Hali̇l Alpaslan
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, two new floating inductor simulators (FISs), both using two differential difference current conveyors, are considered. The proposed FISs do not suffer from passive component matching constraints and employ a minimum number of passive elements. They use a grounded capacitor; accordingly, they are suitable for integrated circuit technology. They have good low- and high-frequency performances. Simulations are performed with the SPICE program to verify the claimed theory. Moreover, for the first FIS used in a second-order low-pass filter, a stability test is performed as an example.
A Comparative Study Of Two Different Fpga-Based Arrhythmia Classifier Architectures, Ahmet Turan Özdemi̇r, Kenan Danişman
A Comparative Study Of Two Different Fpga-Based Arrhythmia Classifier Architectures, Ahmet Turan Özdemi̇r, Kenan Danişman
Turkish Journal of Electrical Engineering and Computer Sciences
Early diagnosis of dangerous heart conditions is very important for the treatment of heart diseases and for the prevention of sudden cardiac death. Automatic electrocardiogram (ECG) arrhythmia classifiers are essential to timely diagnosis. However, most of the medical diagnosis systems proposed in the literature are software-based. This work focused on the hardware implementation of a mobile artificial neural network (ANN)-based arrhythmia classifier that is implemented on a field programmable gate array (FPGA) as a single chip solution, as an alternative to various software models of ANNs. Due to the parallel nature of ANNs, hardware implementation of ANNs needs a large …
Analysis And Design Of An Interleaved Current-Fed High Step-Up Quasi-Resonant Dc-Dc Converter For Fuel Cell Applications, Sina Salehi, Behrooz Vahidi, Jafar Milimonfared, Maghdad Taheri, Hadi Moradi
Analysis And Design Of An Interleaved Current-Fed High Step-Up Quasi-Resonant Dc-Dc Converter For Fuel Cell Applications, Sina Salehi, Behrooz Vahidi, Jafar Milimonfared, Maghdad Taheri, Hadi Moradi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a current-fed quasi-resonant converter with soft switching method. Input current ripple is reduced by employing two boost circuits at the input, which makes this converter appropriate for fuel cell application. Current stress on switches is reduced because of the resonance in switches, and also, as a result of zero voltage switching in switches, switching losses will be reduced in this proposed converter. In the output, the reverse recovery problem of diodes is alleviated by zero current switching, so there is no need for fast diodes anymore. The reduction of losses improves the efficiency, and in a wide …
Multiagent-Based Simulation Of Simultaneous Electricity Market Auctions In Restructured Environment, Mohammad Farshad
Multiagent-Based Simulation Of Simultaneous Electricity Market Auctions In Restructured Environment, Mohammad Farshad
Turkish Journal of Electrical Engineering and Computer Sciences
In the restructured environment of the power industry, various commodities such as energy and operating reserves may be provided through simultaneous auctions. Prediction of market players' behavior in the auctions and simulation of the markets' environment can assist market decision-makers in evaluating specific policies before enforcing them in the real environment. Considering effects of the energy and varieties of reserve markets and also their interactions in the simulations is of high importance, which leads to more realistic simulation results. In this paper, an approach based on a multiagent system is proposed for simulating the simultaneous energy, spinning reserve, and replacement …
Impedance Modeling For Classification Of Flavored Green Teas, Munendra Singh, Sunil Semwal, Ashavani Kumar, Shailendra Singh
Impedance Modeling For Classification Of Flavored Green Teas, Munendra Singh, Sunil Semwal, Ashavani Kumar, Shailendra Singh
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes an electrical impedance model of flavored green teas. Typically, impedance data of flavored green teas, obtained by electrochemical impedance spectroscopy (EIS), fit into an equivalent circuit that represents the physical and chemical processes taking place in it. The total impedance of each flavor alone is not sufficient, but different values of impedance parameters in the electrical impedance model are responsible for better classification of flavored green teas. Successfully classified data on the basis of their flavors were obtained by different support vector machine (SVM) techniques with encouraging results. The results show that a linear SVM has better …
A Real-Time American Sign Language Word Recognition System Based On Neural Networks And A Probabilistic Model, Neelesh Sarawate, Ming Chan. Leu, Cemi̇l Öz
A Real-Time American Sign Language Word Recognition System Based On Neural Networks And A Probabilistic Model, Neelesh Sarawate, Ming Chan. Leu, Cemi̇l Öz
Turkish Journal of Electrical Engineering and Computer Sciences
The development of an American Sign Language (ASL) word recognition system based on neural networks and a probabilistic model is presented. We use a CyberGlove and a Flock of Birds motion tracker to extract the gesture data. The finger joint angle data obtained from the sensory glove defines the handshape while the data from the motion tracker describes the trajectory of the hand movement. The four gesture features, namely handshape, hand position, hand orientation, and hand movement, are recognized using different functions that include backpropagation neural networks. The sequence of these features is used to generate a specific sign or …
Ga Based Adaptive Receiver For Mc-Cdma System, Muhammad Adnan Khan, Muhammad Umair, Muhammad Aamer Saleem Choudhry
Ga Based Adaptive Receiver For Mc-Cdma System, Muhammad Adnan Khan, Muhammad Umair, Muhammad Aamer Saleem Choudhry
Turkish Journal of Electrical Engineering and Computer Sciences
Multicarrier systems like the multicarrier code division multiple access (MC-CDMA) systems are designed for maximum usability of available bandwidth. We use the MC-CDMA system with Alamouti's space time coding in this paper. We propose the genetic algorithm (GA) in order to calculate MC-CDMA receiver weights with two variation schemes. The proposed schemes reduce receiver complexity. The bit error rate and convergence rate are also improved by increasing the number of genes and chromosomes of the GA in both schemes as compared with conventional LMS based receivers of the MC-CDMA system. This is verified via simulations.
2d High-Frequency Forward-Looking Sonar Simulator Based On Continuous Surfaces Approach, Hakan Saç, Mehmet Kemal Leblebi̇ci̇oğlu, Gözde Akar
2d High-Frequency Forward-Looking Sonar Simulator Based On Continuous Surfaces Approach, Hakan Saç, Mehmet Kemal Leblebi̇ci̇oğlu, Gözde Akar
Turkish Journal of Electrical Engineering and Computer Sciences
Optical cameras give detailed images in clear waters. However, in dark or turbid waters, information coming from electro-optical sensors is insufficient for accurate scene perception. Imaging sonars, also known as acoustic cameras, can provide enhanced target details in these scenarios. In this paper, a computationally efficient 2D high-frequency, forward-looking sonar image simulator is presented. Stages and requirements of the image formation process are explained in detail. For the postprocessing of the returned sonar signals, a novel computation engine is proposed based on the geometric structures of the simulated surfaces. By treating all the continuous surfaces separately, the simulator is able …
A New Method For Segmentation Of Microscopic Images On Activated Sludge, Hali̇me Boztoprak, Yüksel Özbay
A New Method For Segmentation Of Microscopic Images On Activated Sludge, Hali̇me Boztoprak, Yüksel Özbay
Turkish Journal of Electrical Engineering and Computer Sciences
Activated sludge samples were taken from the Konya Wastewater Treatment Plant. Two hundred images for each sample were captured by a systematic examination of the slides. Segmentation of microscopic images is a challenging process due to lack of focus. Therefore, adjustment of the focus is required for every movement of the mobile stage. Because the mobile stage does not have the z axis, the focus cannot be adjusted. A new method that uses automatic segmentation of the captured images is developed for solving this problem. The proposed method is not dependent on image content, has minimal computation complexity, and is …
Research On Heat Dissipation And Cooling Optimization Of A Power Converter In Natural Convection, Yang Xu, Hao Chen, Zhentao Hu, Hui Zeng, Qianlong Wang
Research On Heat Dissipation And Cooling Optimization Of A Power Converter In Natural Convection, Yang Xu, Hao Chen, Zhentao Hu, Hui Zeng, Qianlong Wang
Turkish Journal of Electrical Engineering and Computer Sciences
A thermal model for the power converter in a switched reluctance motor drive under natural air cooling is presented. In this compact model, the modeling of the power device is simplified reasonably. Based on the computational fluid dynamics and finite element tools, the thermal and fluid characteristics of the power converter are obtained. The experiment platform is then established, which verifies the correctness of the simulation model. To increase the reliability of the power converter, the layouts of devices on the heat sink and the placement direction of the heat sink are optimized without changing the heat sink shape. Four …
Opposition-Based Gravitational Search Algorithm Applied To Economic Power Dispatch Problems Consisting Of Thermal Units With Emission Constraints, Serdar Özyön, Celal Yaşar, Burhanetti̇n Durmuş, Hasan Temurtaş
Opposition-Based Gravitational Search Algorithm Applied To Economic Power Dispatch Problems Consisting Of Thermal Units With Emission Constraints, Serdar Özyön, Celal Yaşar, Burhanetti̇n Durmuş, Hasan Temurtaş
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a multiobjective environmental economic power dispatch problem has been converted into a single-objective optimization problem using the weighted sum method. For the solution of the converted problem, the gravitational search algorithm (GSA), which is one of the latest algorithms, has been used. In order to increase the performance of the GSA, opposite positioning quality has been added to the structure of the algorithm (OGSA). The obtained results show that the proposed algorithm has obtained better results and has provided a faster convergence. The 30-bus 6-generator test system has been selected for application of the OGSA. The transmission …
Optimal Fuzzy Load Frequency Controller With Simultaneous Auto-Tuned Membership Functions And Fuzzy Control Rules, Abas Ali Zamani, Ehsan Bijami, Farid Sheikholeslam, Bahram Jafrasteh
Optimal Fuzzy Load Frequency Controller With Simultaneous Auto-Tuned Membership Functions And Fuzzy Control Rules, Abas Ali Zamani, Ehsan Bijami, Farid Sheikholeslam, Bahram Jafrasteh
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, an auto-tuned fuzzy load frequency controller (FLFC)-based artificial bee colony (ABC) algorithm is developed to quench the deviations in the frequency and tie-line power due to load disturbances in an interconnected power system. Optimal tuning of membership functions (MFs) and fuzzy control rules is very important to improve the design performance and achieve a satisfactory level of robustness for a particular operation. In this work, to reduce the fuzzy system design effort and take large parametric uncertainties into account, a new systematic and simultaneous tuning method is developed for designing MFs and fuzzy rules. For this, the …
Btsql: Nested Bitemporal Relational Database Query Language, Canan Atay, Abdullah Uz Tansel
Btsql: Nested Bitemporal Relational Database Query Language, Canan Atay, Abdullah Uz Tansel
Turkish Journal of Electrical Engineering and Computer Sciences
A nested bitemporal relational data model and its query language are implemented. The bitemporal atom (BTA) is the fundamental construct to represent temporal data and it contains 5 components: a value, the lower and upper bounds of valid time, and the lower and upper bounds of the recoding time. We consider 2 types of data structures for storing BTAs: 1) string representation and 2) abstract data-type representation. We also develop a preprocessor for translating a bitemporal structured query language (BtSQL) statement into standard SQL statements. The BtSQL includes the select, insert, delete, and update statements of the SQL, extended for …
Wireless Sensor Localization Using Enhanced Dv-Aoa Algorithm, Peter Brida, Juraj Machaj, Jozef Benikovsky
Wireless Sensor Localization Using Enhanced Dv-Aoa Algorithm, Peter Brida, Juraj Machaj, Jozef Benikovsky
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we deal with the improvement of the positioning accuracy of distance vector (DV)-based positioning algorithms, which use angular information DV- angle of arrival (AoA). This algorithm belongs to an ad-hoc positioning system. We focus on the improvement of the algorithm and its enhanced version is presented. The angular information of particular nodes is obtained and processed by the original algorithm; however, the final position estimation is determined by the proposed novel algorithm using only a subset of all intersections. We assign weights to the individual intersections according to their positions and the positions of the RNs. For …
A Reduced Probabilistic Neural Network For The Classification Of Large Databases, Abdelhadi Lotfi, Abdelkader Benyettou
A Reduced Probabilistic Neural Network For The Classification Of Large Databases, Abdelhadi Lotfi, Abdelkader Benyettou
Turkish Journal of Electrical Engineering and Computer Sciences
The probabilistic neural network (PNN) is a special type of radial basis neural network used mainly for classification problems. Due to the size of the network after training, this type of network is usually used for problems with a small-sized training dataset. In this paper, a new training algorithm is presented for use with large training databases. Application to the handwritten digit database shows that the reduced PNN performs better than the standard PNN for all of the studied cases with a big gain in size and processing speed. This new type of neural network can be used easily for …
A Performance Comparison Of Linear And Nonlinear Control Of A Scig-Wind Farm Connecting To A Distribution Network, Mohamed Benchagra, Mohamed Maaroufi, Mohammed Ouassaid
A Performance Comparison Of Linear And Nonlinear Control Of A Scig-Wind Farm Connecting To A Distribution Network, Mohamed Benchagra, Mohamed Maaroufi, Mohammed Ouassaid
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a comparison of linear and nonlinear control to regulate the DC-link voltage and power factor correction of a wind farm equipped with squirrel cage induction generators (SCIGs), connecting to a 22-kV distribution network. Both active and reactive powers are employed in 2 independent control laws. The proposed control strategies are derived from the Lyapunov approach. The aim of the control is to maximize the generated power with the lowest possible impact in the grid voltage and frequency during normal operation and under the occurrence of faults. The nonlinear backstepping controller to be used for the control of …
Coherence Analysis On Thermal Effect For Power Cables Under Different Environmental Conditions, Sezai̇ Taşkin, Şahi̇n Serhat Şeker, Özcan Kalenderli̇, Murat Karahan
Coherence Analysis On Thermal Effect For Power Cables Under Different Environmental Conditions, Sezai̇ Taşkin, Şahi̇n Serhat Şeker, Özcan Kalenderli̇, Murat Karahan
Turkish Journal of Electrical Engineering and Computer Sciences
There are 2 important aspects of this research; these are the experimental study and the data analysis, which are based on coherence analysis. In this study, a low-voltage power cable is tested under 2 different environments, air and water, and the variations in temperature are measured for the conductor, the sheath parts of the cable, and the environment. The recorded test data are analyzed using such as coherence analysis. This in turn provides the means to determine the relationship among the sheath, conductor, and the environment. In conclusion, high correlated peaks in the frequency domain are used to determine the …