Showing papers in "Bulletin of Electrical Engineering and Informatics in 2016"
TL;DR: In this article, a grid connected photovoltaic system is proposed which can function as an active power filter with maximum power point tracking (MPPT). Filter reference current is derived using Fourier Transform.
Abstract: Inthispaper, a novel grid connected photovoltaic system is proposed which can function as an Active Power Filter (APF) with Maximum Power Point Tracking (MPPT). Filter reference current is derived using Fourier Transform. Considering 33% reduction in inverter switches, cost of the grid-connect photovoltaic power plant can be reduced considerably. Using this approach, it is also possible to compensate for reactive and harmonic components of the local loads; moreover it can inject generated active power into grid at maximum power point of the photovoltaic cells. According to this, during daytime, the proposed system injects active power to the grid and at the same time compensates for the reactive power of the load. When there is no sunlight, the inverter only compensates local loads. Considering cost reduction, such capabilities may result in more application of the grid connected photovoltaic systems. Main novelty of the proposed system is simultaneous APF and MPPT functioning using single DC/AC converter. In fact, extra DC-DC converter is not required in the proposed system for MPPT. In order to verify the performance of the proposed method, some simulation is done using MATLAB/Simulink software. Also, some experimental results are presented for practical verification of the proposed grid connected inverter.
14 citations
TL;DR: An application of wavelet transforms to detect the faults and further to perform classification by supervised learning paradigm is presented and it is observed that ANN architecture performs satisfactorily when it is compared with the simulation results.
Abstract: Recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid. This paper presents an application of wavelet transforms to detect the faults and further to perform classification by supervised learning paradigm. Different architectures of ANN aretested with the statistical attributes of a wavelet transform of a voltage signal as input features and binary digits as outputs. The proposed supervised learning module is tested on a transmission network. It is observed that ANN architecture performs satisfactorily when it is compared with the simulation results. The transmission network is simulated on Matlab. The performance indices Mean Square Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Sum Square Error (SSE) are used to determine the efficacy of the neural network.
13 citations
TL;DR: Although the firewall has a major role in establishing security, its installation and appropriate configuration can only be one of the primary activities in this field, it should also take advantage of other security mechanisms to enhance the security of the Smart Grid.
Abstract: Due to the increasing development of computer systems and information networks, power grids should change extensively too. Nowadays, substantial movement has begun to implement the Smart Grid industry around the world. Since with the creation of smart electricity grids, it is possible to access the internal network from the external spaces, it is also necessary to protect information and data against unauthorized access. Therefore, a firewall should be used for information security. The firewall based on existing security regulations, decides which data is incoming to the network or going out of the network. Considering the discussions of passive defense topics at the national level and also the high importance of information security in Smart Grids, in this paper, in addition to examining the Firewalls, its advantages and disadvantages are also stated. Although the firewall has a major role in establishing security, and its installation and appropriate configuration can only be one of the primary activities in this field, we should also take advantage of other security mechanisms to enhance the security of the Smart Grid.
12 citations
TL;DR: The proposed screening system is used to identify the suspicious regions for bright lesions using color fundus images and obtained the effective detection performance compared to some of the state–of–art methods.
Abstract: In this paper a computer aided screening system for the detection of bright lesions or exudates using color fundus images is proposed. The proposed screening system is used to identify the suspicious regions for bright lesions. A texture feature extraction method is also demonstrated to describe the characteristics of region of interest. In final stage the normal and abnormal images are classified using Support vector machine classifier. Our proposed system obtained the effective detection performance compared to some of the state–of–art methods.
11 citations
TL;DR: In this article, the authors presented the control of the fuel cell for stand-alone application based on fuzzy PID (FPID) controller, which consists of two stages of DC/DC converter and DC/AC inverter.
Abstract: Due to increasing concerns on environmental pollution and depleting fossil fuels, fuel cell (FC) has received considerable attention as an alternative to the conventional energy systems. Fuel cells have numerous stand-alone and grid-connected applications. This paper presents the control of the stand-alone application based on fuzzy PID (FPID) controller. The aim of the paper is to achieve the control of the fuel cell for stand-alone with suitable power conditioning unit (PCU) that consists of the two stages of DC/DC converter and DC/AC inverter. An analysis of cascade structure based on FPID controller for a single phase inverter is done and comprises two feedback control loops. The inductor current and capacitor voltage are measured and feedback to the inner loop and the outer loop, respectively. The analytical models of the h PEM fuel cells is designed and simulated by developing a detailed simulation software using Matlab, Simulink and SimPowerSystems Blockset for portable applications. The PEM fuel cell model is validated with Nexa TM Power Module MAN5100078 by Ballard Power Systems at 80°C. In this paper shown that the proposed controller shows a robust behavior and good transient response.
11 citations
TL;DR: A new algorithm called Mean Communication Node with Duplication MCND algorithm to achieve high performance task scheduling that takes into account the average of parents' communication costs for each task to reduce the overhead communication.
Abstract: The efficient scheduling algorithm is critical to achieve high performance in parallel and distributed systems. The main objective of task scheduling is to assign the tasks onto the available processors with the aim of producing minimum schedule length and without violating the precedence constraints. So we developed new algorithm called Mean Communication Node with Duplication MCND algorithm to achieve high performance task scheduling. The MCND algorithm has two phases namely, task priority and processor selection. Our algorithm takes into account the average of parents' communication costs for each task to reduce the overhead communication. The algorithm uses new task duplication algorithm. We build a simulation to compare the MCND algorithm with CPOP with duplication algorithm. The algorithms are applied on real application. From results, the MCND algorithm shows the best results
10 citations
TL;DR: In this article, the authors describe the types of faults that occur in a system and where these faults originate, and then, fault-injection techniques are used to characterize the fault rate of a system-on-chip (SoC).
Abstract: The development of process technology has increased system performance, but the system failure probability has also significantly increased. It is important to consider the system reliability in addition to the cost, performance, and power consumption. In this paper, we describe the types of faults that occur in a system and where these faults originate. Then, fault-injection techniques, which are used to characterize the fault rate of a system-on-chip (SoC), are investigated to provide a guideline to SoC designers for the realization of resilient SoCs.
9 citations
TL;DR: In this paper, a Model Reference Adaptive System (MRAS) based scheme using Artificial Neural Network (ANN) for online speed estimation of sensorless vector controlled induction motor drive is described.
Abstract: One of the primary advantages of field-oriented controlled induction motor for high performance application is the capability for easy field weakening and the full utilization of voltage and current rating of the inverter to obtain a wide dynamic speed rangeThis paper describes a Model Reference Adaptive System (MRAS) based scheme using Artificial Neural Network (ANN) for online speed estimation of sensorless vector controlled induction motor drive. The proposed MRAS speed observer uses the current model as an adaptive model. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab/Simulink. Simulation result shows a good performance of speed estimator. The simulation results show good performance in various operating conditions. Also Performance analysis of speed estimator with the change in resistances of stator is presented. Simulation results show this estimator robust to parameter variations especially resistances of stator.
9 citations
TL;DR: The basic objective of this work is to develop image analysis and classification techniques for extraction and finally classified the diseases present on leaf using random markov model.
Abstract: - In agricultural field the plants comes to an attack from the various pets bacterial and micro-organism diseases. This diseases attacks on the plant leaves, steams, and fruit part. This present review paper discussed the image processing techniques which is used in performing the early detection of plant diseases through leaf feature inspection. the basic objective of this work is to develop image analysis and classification techniques for extraction and finally classified the diseases present on leaf. Image of leaf is captured and the process is performed and to determine the status of each plant. Here proposed model divide into four parts. The image preprocessing including normalization and contrast adjustment; segment the region of interest determine by using color transform YCbCr and bi-level thresholding for statistical usage to determine the defect and severity area of plant leaves. The texture feature extraction using statistical GLCM (Gray Level Co-occurrences Matrix) and color feature by means values.[1] Finally classification achieved using random markov model.
7 citations
TL;DR: In this paper, the authors evaluate the overvoltages at the sensitive points in wind farm, using ATP-EMTP package program, and determine the optimum location of wind turbine at the areas of maximum lightning incidence.
Abstract: The lightning energy can be very harmfull to the wind turbine farm components. This paper attempts to evaluate the overvoltages at the sensitive points in wind farm, using ATP-EMTP package program. Four cases were performed; a) the transient voltage distribution in the insulating layer of the control line, b) the transient voltage on the control equipment, c) the coupling voltage between the tower and the control, and, d) the transient voltage distribution in the wind turbine WT generator, boast transformers and grid. These cases were performed under different lightning current conditions and at conventional design and proper design of grounding system. The results show that the ground potential rise (GPR) is reduced with using the proper design of wind turbine ground system, but the induced voltage at the control system will not affected. This work determines the optimum location of wind turbine at the areas of maximum lightning incidence. Ant colony optimization (ACO) technique is implemented to find the optimum wind farm location. This work enhances the protection strategy of the wind farms against lightning stroke .
7 citations
TL;DR: This work proposes anew approach of an adaptive and robust PSS; it achieves encouraging results by adjusting the gain using fuzzy logic and in the same time it uses the same PSSs for each machine.
Abstract: The lead-lag power system stabilizer has several parameters to be optimized.In fact, the number of these latter increases with the number of generators constituting the multi-machine system.In this work, we propose anew approach of an adaptive and robust PSS; it achieves encouraging results by adjusting the gain using fuzzy logic and in the same time we use the same PSSs for each machine. In the first place, we could check that the gain is among the most critical parameters of the lead lag PSS. The parameters are globally optimized by the genetic algorithm, after that an expertise on the speed and the gain variations allow the value prediction according to the velocity deviation. To validate our results, a robustness test was made on a multimachine system IEEE (3 machines 9 bus), for different loads and the results showed good performance and robustness of the presented PSS.
TL;DR: The design of an induction motor drive system that can be controlled using direct power control and the estimator was designed and simulated in Matlab/Simulink and result shows a good performance of speed estimator.
Abstract: This paper is the design of an induction motor drive system that can be controlled using direct power control. First the possibilities of direct power control (DPC) of induction motors (IMs) fed by a voltage source inverter have been studied. Principles of this method have been separately evaluated. Also the drive system is more versatile due to its small size and low cost. Therefore it is advantageous to use the system where the speed is estimated by means of a control algorithm instead of measuring. This paper proposed one novel induction motor speed control system with fuzzy logic. The estimator was designed and simulated in Matlab/Simulink. Simulation result shows a good performance of speed estimator.
TL;DR: In this article, the authors present a tracking system which will cause better alignment of solar panel with sunlight and to harvest solar power, the proposed system changes its direction in two axis to trace the coordinate of sunlight by detecting change in light intensity through light dependent resistors.
Abstract: Sustainable energy systems are necessary for the economic growth and a healthy environment. India is currently suffering from an economic slump and acute fuel shortage. To overcome these issues the use of renewable energy resources needs to be enhanced manifold. The main purpose of this paper is to present a tracking system which will cause better alignment of solar panel with sunlight and to harvest solar power. The proposed system changes its direction in two axis to trace the coordinate of sunlight by detecting change in light intensity through light dependent resistors. Hardware testing of the proposed system is done for checking the system ability to track and follow the sunlight in an efficient way. Dual axis solar tracking system superiority over stationary solar panel is also presented.
TL;DR: In this article, the wave concept iterative process is used for analyses planar circuits, this method consists in generating a recursive relationship between a wave source and reflected waves from the discontinuity plane which is divided into cells.
Abstract: The wave concept iterative process is a procedure used for analyses planar circuits, this method consists in generating a recursive relationship between a wave source and reflected waves from the discontinuity plane which is divided into cells. A high computational speed has been achieved by using Fast Modal Transform (FMT). In this paper we study a patch antenna and MESFET transistor, to determine the electromagnetic characteristics of these structures.
TL;DR: A new best mutation method is proposed to enhance the diversity of particle swarm and avoid premature convergence and the proposed ACPSO algorithm has good solution quality and more robust than other methods reported in previous work.
Abstract: Particle swarm optimization (PSO) is one of the famous heuristic methods. However, this method may suffer to trap at local minima especially for multimodal problem. This paper proposes a modified particle swarm optimization with dynamic acceleration coefficients (ACPSO). To efficiently control the local search and convergence to the global optimum solution, dynamic acceleration coefficients are introduced to PSO. To improve the solution quality and robustness of PSO algorithm, a new best mutation method is proposed to enhance the diversity of particle swarm and avoid premature convergence. The effectiveness of ACPSO algorithm is tested on different benchmarks. Simulation results found that the proposed ACPSO algorithm has good solution quality and more robust than other methods reported in previous work.
TL;DR: In this paper, double fuzzy PI (DFPI) control was applied not only on the DC capacitor bus but also on the output current of shunt active power filter (SAPF).
Abstract: The current paper presents a continuation of an earlier research and purposes to enhance the performances of the studied system. While the double fuzzy PI (DFPI) control was applied only on the DC capacitor bus in a previous work it is applied here also on the output current of shunt active power filter (SAPF). The nonlinear load disrupts the electrical distribution system by the generation of harmonics, which requires an efficient SAPF intervention to minimize the effects of harmonics on the network and provide electrical energy conforms to international standards. The design and simulation of this work were performed under MATLAB/Simulink environment. The carried-out simulation results demonstrate a satisfactory regulation both for the output current of the SAPF and the DC bus voltage. Furthermore the power quality is improved since a near-unity power factor and very low rates of imbalance of both source voltages and currents are obtained.
TL;DR: In this article, an effort has been made to analyse gain tuning of Basis Weight output relative to the changing values of basis weight valve opening with step and variable input, and the effects of various scaling gains are studied on the output of the system and are tuned to get the optimum output both for the step input and varying input.
Abstract: Paper making is a vast, multidisciplinary technology that has expanded tremendously in recent years approaching to reach 20 million tons by 2020. As per demand implementation of necessary tools to optimize papermaking process and to increase the control precision, the precondition for stable operation and quality production is necessary. In the present work, an effort has been made to analyse gain tuning of Basis Weight output relative to the changing values of basis weight valve opening with step and variable input. The effects of the three constants K P , K D and K I for different types of conventional controllers as P, PD and PID controller are examined by adding a disturbance to the control system. The effects of various scaling gains are studied on the output of the system and are tuned to get the optimum output both for the step input as well as the varying input. Simulation results show that P, PD and PID controllers provide automatic tuning to preserve good performance for various operating conditions. An analysis of practical performance indices is presented by comparing results of three different conventional controllers. The system developed can be used to serve as platform for Control engineering techniques used in industries.
TL;DR: In this paper, the fault tree method is applied to a wind turbine system to estimate the reliability of wind turbines, and the effectiveness of the proposed method is revealed through several case studies.
Abstract: The increasing use of wind generation requests modifications in the electric power systems planning conception, because it includes one more uncertainty component, which needs to be studied properly and modeled. Understanding the failures rates and downtimes of wind turbines is difficult not only because of the considerable range of designs and sizes that are now in service worldwide but also since studies are conducted independently under various operating conditions in different countries. The fault tree method (FTA) has been used to study the reliability of many different power generation systems. This paper now applies that method to a wind turbine system to estimate the reliability of wind turbines. In the implementations, several types of wind turbines were considered in order to analyze the system’s reliability. The effectiveness of the proposed method is revealed through several case studies.
TL;DR: In this paper, the impact of DGs on reliability is considered and their effect on reliability in terms of number and location is evaluated, and the cost effectiveness of number of DG is evaluated for the determining the returns on the DG investment cost.
Abstract: Integration of Distributed generation (DG) results in a number of advantages ranging from reduction in losses to delayed generation and transmission capacities. In this paper the impact of DGs on reliability is considered and their effect on reliability in terms of number and location is evaluated. The integration of DG changes configuration of the radial system. This point is considered for evaluating the load point indices. The cost effectiveness of number of DGs is evaluated for the determining the returns on the DG investment cost. The above analysis is carried out on a RBTS Bus 2 system. The reliability indices are calculated using FMEA technique.
TL;DR: The most predominant parameters such as efficiency and total harmonic distortion are compared to identify the suitiblity of the driver circuits for various applications.
Abstract: This paper describes the overview and comparison of various passive Light Emitting Diode (LED) driver circuits employed for street lighting applications. Passive LED driver circuits are constructed with diodes and capacitors without using any power electronic semiconductor switches which in turn eliminates the secondary supply unit for control circuits and controllers. Passive LED driver circuits are simple in construction, low cost, less maintenance and control free. 50 W LED driver circuit is identified for performance comparison and simulations are performed in matlab- simulink to get an overview of different passive LED driver circuits. The most predominant parameters such as efficiency and total harmonic distortion are compared to identify the suitiblity of the driver circuits for various applications.
TL;DR: In this technique, the high-speed characteristic of particle swarm optimization is combined with non-dominated differential evolutionary (NSDE) and an efficient multi objective optimization algorithm is created that posses high convergence characteristic in quite less execution times.
Abstract: This paper presents a new multi objective optimization algorithm with the aim of complete coverage, faster global convergence and higher solution quality. In this technique, the high-speed characteristic of particle swarm optimization (PSO) is combined with non-dominated differential evolutionary (NSDE) and an efficient multi objective optimization algorithm is created. This method posses high convergence characteristic in quite less execution times. Generating fewer populations to find the Pareto front also makes the proposed algorithm use less memory. For the purpose of performance evaluation, the algorithm is verified with four benchmarking functions on its global optimal search ability and compared with two recognized algorithm to assess its diversity. The capability of the suggested algorithm in solving practical engineering problems such as power system protection is also studied and the results are discussed in detail.
TL;DR: This paper proposes an efficient and a reliable visual cryptographic methodology which focuses on the encryption and decryption of the two-dimensional DICOM standard compressed medical image, effectively and proposes various analytical metrics such as correlation analysis, entropy analysis, homogeneity analysis, energy analysis, contrast and mean of absolute deviation analysis, to evaluate the proposed algorithm and their suitability in image encryption applications.
Abstract: The transmission of a suitably compressed image over a bandwidth, over long distances, gives rise towards a new era in the field of information technology. A gradual increase in this appending scenic application, involving the transfer of the images securely over the Ethernet has become an increasingly important aspect to be addressed during thou phenomenon, especially in the transfer of the digital medical images vividly, encapsulated with abundant information related to these images. The compressed medical images of the DICOM format contain certain amount of confidential data, pertaining to a clinical research or to an individual, and the confidentiality of the same has to be preserved from various security threats and eves-dropping. With a widespread applications among various multimedia applicative systems, telemedicine, medical imaging, military and certain safety-critical applications, inter-net and intra-net communicative applications, etc, a reliable transfer of suitable information, efficiently & securely is considered as one of the revolutionary aims in today’s communication technology and visual cryptographic methodologies. Real-time applications as such detailed above majorly is concerned with the security measures and many algorithms have been developed as a proof for various visual cryptographic methodologies. In this paper we propose an efficient and a reliable visual cryptographic methodology which focuses on the encryption and decryption of the two-dimensional DICOM standard compressed medical image, effectively. This paper discusses an efficient design of 192 bit encoder using AES Rijndael Algorithm with the decomposition of an image into square image size blocks and the image blocks are shuffled using 2D CAT map. The shuffling of the image blocks/pixels employs a Logistic map of these image pixels coupled with 2D mapping of the pixels of the DICOM standard medical image, generated randomly, being the control parameter thereby creating a confusion between the cipher and the plain image, gradually increasing the resistive factor against the significant attacks. This paper proposes various analytical metrics such as correlation analysis, entropy analysis, homogeneity analysis, energy analysis, contrast and mean of absolute deviation analysis, to evaluate the proposed algorithm, and their suitability in image encryption applications.
TL;DR: This paper compares the performance of Switched Reluctance Motor in terms of torque ripples with DITC strategy for both Asymmetric converter and Four-level converter and it is observed that D ITC with four level converter is better than that with Assymetrical converter.
Abstract: High torque ripple is the main draw of Switched Reluctance Motor (SRM) compared to other conventional motor. Torque ripples can be minimized by Direct Instantaneous Torque Control (DITC) technique. DITC responds against the torque error instantaneously by using hysteresis torque controller and regulate the torque output of the motor within hysteresis band.This paper compares the performance of Switched Reluctance Motor in terms of torque ripples with DITC strategy for both Asymmetric converter and Four-level converter. Asymmetric converter has three states namely magnetization, freewheeling and demagnetiztion states. With four-level converter, fast magnetization and fast demagnetization are also possible. Thus, the current build up and decay time is reduced which improves the dynamic performance. SRM is simulated using DITC scheme with Asymmetric converter and Four-level converter in MATLAB/SIMULINK to analyze torque ripples and it is observed that DITC with four level converter is better than that with Assymetrical converter.
TL;DR: In this article, a new electromagnetic force-displacement sensor is presented based on the fundamental laws of electromagnetism (Faraday-Lenz law) and the mechanical properties of a spring.
Abstract: A new electromagnetic force-displacement sensor is presented. Its operating principle is based on the fundamental laws of electromagnetism (Faraday-Lenz law) and the mechanical properties of a spring. The active elements are two coils made by a wire of 60 µm in diameter. Using different wire diameters or different number of wire turns in the coil modify the intensity of the magnetic field and the sensor response. The average accuracy of the sensor is about ∆d=1µm, and as a force sensor is about ∆F=1µN. This sensor could be successfully used for the manufacture of several measuring instruments.
TL;DR: In this paper, a review on recent developments and future trends in zinc oxide thin film transistors (ZnO TFTs) together with challenges involved in this technology is presented.
Abstract: This paper presents a review on recent developments and future trends in zinc oxide thin film transistors (ZnO TFTs) together with challenges involved in this technology. It highlights ZnO TFT as next generation choice over other available thin film transistor technology namely a – Si: H (amorphous hydrogenated silicon), poly-Si (polycrystalline silicon) and OTFT (organic thin film transistor). This paper also provides a comparative analysis of various TFTs on the basis of performance parameters. Effect of high –k dielectrics, grain boundaries, trap densities, and threshold voltage shift on the performance of ZnO TFT is also explained.
TL;DR: In this paper, the authors mainly focused on the sizing of electrical cables and its accomplishment in various international standards and developed effective cable sizing model for building services, and the main objective of this research work is to develop effective cable size model.
Abstract: This paper mainly focuses on the sizing of electrical cables (i.e.cross-sectional area) and its accomplishment in various international standards. Cable sizing methods are at variance across international standards. For example, International Electrotechnical Commission (IEC), National Electrical Code (NEC), British Standard (BS) and Institute of Electrical and Electronics Engineers (IEEE). The basic philosophy underlying any cable sizing calculation is to develop a procedure model on cable sizing. The main objective of this research work is to develop effective cable sizing model for building services.
TL;DR: This work proposes a beaconless packet forwarding strategy based on modified handshake messages mechanism that shows the better performance of the proposed protocol in terms of packet delay and data delivery ratio in realistic wireless channel conditions.
Abstract: Existing wireless technologies provide communication and information services to all fields of life. The one of the emerging and popular field is vehicular ad hoc networks, with its unique characteristics and highly mobile environment. Different types of routing protocols have been proposed to address the routing issues in network and one of the most efficient types is geographical routing. In this type of protocols, the beacon messages are using to update the node locations and positions. However, these protoocls have been suffered with high channel congestion issue in the network. To this end, we propose a beaconless packet forwarding strategy based on modified handshake messages mechanism. The protocol uses some realistic metrics to select the next forwarder node such as forward progresss and link quality. The protocol performance is evaluated with existing beacon and beaconless geographical routing protocols. The simulation results showed the better performance of the proposed protocol in terms of packet delay and data delivery ratio in realistic wireless channel conditions.
TL;DR: In this paper, a cross entropy (CE) optimization technique is suggested in order to extract the optimal parameters of solar cell model, which is used to determine the corresponding maximum power point (MPP) from the illuminated currentvoltage (I-V) characteristic.
Abstract: A Cross Entropy (CE) optimization technique is suggested in this study in order to extract the optimal parameters of solar cell model. The solar cell model namely Double diode model, is used in this paper in the purpose to verify the proposed method. The seven unknown parameters of double diode model are: the photo-generated current, the diffusion current, saturation current, the series resistance, the shunt resistance, the diffusion ideality factor and recombination diode ideality factor. These parameters were used to determine the corresponding maximum power point (MPP) from the illuminated current–voltage (I–V) characteristic. The metaheuristic algorithms have created a center of attention due to the non-linearity of the solar cell models and the incapability of traditional optimization methods to precisely extract the parameters. Different cases and studies have been done to identify the unknown parameters of the solar cell double model. The efficiency of CE algorithm is investigated by comparing this method with various and different other techniques. This comparison is done using statistical indicators and analysis such as: mean absolute bias error, root mean square error and coefficient of determination. The results show that CE is a very efficient technique to identify the electrical parameters of the PV solar cells and modules.
TL;DR: In this paper, a phasor model is established and used to analyse the impact of superconducting magnetic energy storage (SMES) using matlab/Simulink software. And the results show that the model is very effective to study their impact for enhancing the transient stability in large scale time.
Abstract: Superconducting Magnetic Energy Storage (SMES) is one of most important device attracting researchers for enhancing the transient stability of power systems. To facilitate the use of this device in different simulations and studied, a phasor model is established and used to analyse the impact of this device using matlab/Simulink software. The phasor model has enough advantages like using the SMES without need detailed model that contains the electronic power converter and therefore minimize the simulation time. The Western Systems Council Coordinating (WSCC) 3 machine-9 bus system is taken as a power system test. Simulation results show that the phasor model of SMES unit is very effective to study their impact for enhancing the transient stability in large scale time.
TL;DR: A new secure, robust routing protocol specifically designed for next generation technologies and evaluated its performance against other security schemes for CBR video streaming service under WHA.
Abstract: The integrated UMTS and WLAN ad hoc networks are getting more and more popular as they hold substantial advantages by next generation networks. We introduce a new secure, robust routing protocol specifically designed for next generation technologies and evaluated its performance. The design of the SNAuth_SPERIPv2 secure routing protocol takes advantage to the integrated network, maintaining Quality of Service (QoS) under Wormhole Attack (WHA). This paper compares performance of newly developed secure routing protocol with other security schemes for CBR video streaming service under WHA.