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VOLUME 5, ISSUE 9, SEPTEMBER 2017
A Review on Analysis of EEG Signal
Shayela Nausheen Aziz, Naveen Kumar Dewangan
Resonant Inverter with IGBT for Induction Heating Applications
Mauna Hiremath, Dr. Shankaralingappa.C.B
Adaptive Over-Current Protection for Distribution System with Distributed Generation
Nikhil Ashok Bari, S D Jawale, B T Deshmuikh
A Low PAPR OFDM System with PTS Technique using SUI 5 Channel
A. Loka Pavani, E.V. Vijay
A Comparative Study on Student Academic Performance Prediction using Classification Algorithm
R. Sasikala, G. Seenuvasan
A Review on Underwater Image Scene Enhancement and Restoration using Image Processing
Ms. Tejal R. Haware, Prof. P. R. Gumble
Fog Removal Techniques using Image Processing
Ankita Shrivastava, Dr. Manisha Sharma
A Review on Automatic Soil Water Controller for Different Crops in a Field
Khyati Solanki, K Uma
Condition Monitoring and Fault Diagnosis of Rolling Element Bearing
Shayela Farheen Aziz, Arun Kumar Sahu
Vivaldi Antenna for Wall Imaging Through Microwave
Chandra Vijay Singh, Manvendra, A.K. Jaiswal, Mukesh Kumar
Design and Development of Intellect Webbot- A Novel approach scheme and Utility of Intelligent Agent based Web Crawler
Mrs. P. Jegadeeshwari, Dr. D. Sengeni, Mrs. R. Nithya
A Review on AC Drive Controller using PLC
Pooja Verma, Ravindra Manohar Potdar
PLC based Solar Panel Tracking System with Automatic Tilting Arrangement and Tilt Angle Optimization
Naman Madharia, Tanuja Kashyap, Prabhakar
A Robust Density - Based Clustering Approach using DBCURE - MapReduce Techniques
Dhivya. N, Dr. G. Shrivakshan
A Comparative Study of Distance Measurement Performances for Image Retrieval using Clustering Techniques
R. Subashini, Dr. G.T. Shrivakshan
Analysis of Gait Recognition Algorithm Models using SURF and SVM – A Comparison
Chinu Sayal, Dr Rajbir Kaur, Dr Charanjit Singh
Advanced Bone Crack Detection using Image Processing Techniques
Ramyapriyanandhini. G
Shuffled Differential Evolution for Economic Load Dispatch Problem
Mr. Mohd. Mustafa, Mr. Perala Sridhar
Modeling of Distributed Interline Power Flow Controller for Reduces the Oscillations by using Particle Swarm Optimization
J.Madana Gopal, RajaReddy. Duvvuru
Modeling of Active SFCL for Reduction of Fault Current and Over Voltages in Distribution System
K.Manohar, RajaReddy Duvvuru
Framework Development for Hybrid Behavioral Airborne Systems
Asiya Begum Noorbasha, Srinivas Mallimoggala
|DOI: 10.17148/IJIREEICE.2017.5921
Design and Implementation of Fuzzy Logic Controller for Autonomous Underwater Vehicle
D. Aruna Sri, G. Raja Rao, P.V.V. Rama Mohana Rao, K. Raghuram
Enhancement of Energy Management System of Hybrid Renewable System by HSS
Dr. S B Shivakumar, Sampathkumar. V. Patil
Abasement of Harmonics by Adopting Fault-tolerant Nine-level Inverter for Grid- independent PV System
P. Venkatachalam, K. Dileep Kumar Reddy
A New Interleaved Three-Phase Single-Stage PFC AC-DC Converter with Flying Capacitor
Mohd. Mustafa, P.V.S Aditya
A Review on IOT Based Power Theft Detection and Control Systems
Harsha Khandel, Suchitra Pandey, D. Reynolds
A Novel Three-Phase to Nine-Phase Transformation using a Special Transformer Connection
Mohd Rizwan Khalid
Abstract
A Review on Analysis of EEG Signal
Shayela Nausheen Aziz, Naveen Kumar Dewangan
DOI: 10.17148/IJIREEICE.2017.5901
Abstract: The electroencephalogram (EEG) popularly known as brain waves represents the electrical activity of the brain. The scalp EEG is an average of the signals generated by various activities of many small zones of the cortical surface beneath the electrodes. An EEG is used to detect problems in the electrical activity of the brain. The pattern of electrical activity is useful for diagnosing a number of conditions that affect the brain. The conditions may be epilepsy, dementia, brain tumor etc. By analyzing the EEG signal we can also compare and differentiate the signals generated by brain for different emotions like happy, sad, anger etc. Recently, numerous research and techniques have been developed for processing, feature extraction and analysis of EEG signals. All these techniques and algorithms have their advantages and limitations. This proposed paper discusses various techniques and transformations proposed earlier in literature for processing and analysis of EEG signals in order to develop more effective and efficient algorithm.
Keywords: EEG, brain waves, feature extraction, analysis.
Keywords: EEG, brain waves, feature extraction, analysis.
Abstract
Resonant Inverter with IGBT for Induction Heating Applications
Mauna Hiremath, Dr. Shankaralingappa.C.B
DOI: 10.17148/IJIREEICE.2017.5902
Abstract: This paper presents a resonant inverter with IGBT for induction heating (IH) applications. By employing the center tap transformer in the proposed inverter, the switching frequency of the IGBT‟s is half the load switching frequency. Moreover, the IGBT‟s in the proposed inverter operate in zero voltage switching during the turn on phase of the switches. The system configuration, operation and the analysis are described to illustrate as to how the load switching frequency of the proposed resonant inverter is twice the switching frequency of IGBT‟s. The new topology is verified by carrying out the simulation using MATLAB/Simulink software.
Keywords: Center Tap Transformer, Induction Heating, Resonant Inverter, Zero-Voltage Switching (ZVS).
Keywords: Center Tap Transformer, Induction Heating, Resonant Inverter, Zero-Voltage Switching (ZVS).
Abstract
Adaptive Over-Current Protection for Distribution System with Distributed Generation
Nikhil Ashok Bari, S D Jawale, B T Deshmuikh
DOI: 10.17148/IJIREEICE.2017.5903
Abstract: The exponential growth of population has resulted a significant increase in power demand. Moreover the consumer area is vastly dispersed. Thus, the generation of electricity at the consumer side is gaining more popularity. The main problem associated with the generation of electricity at consumer side i.e. distributed generation is the failure of coordination between various protective devices employed in the system. Because after the integration of DG with the grid, the conventional radial distribution network is changed to interconnected mesh network. Therefore the existing protection system will not work satisfactorily in this case. This necessitates the modification of existing protection system or implementation of newer one. This paper recapitulates the impacts of DG on line losses, voltage profile, short circuit power levels of the network and presents a smart and adaptive methodology for protection of distribution network with distributed generation.
Keywords: distribution network, distributed generation, short circuit level, over-current protection.
Keywords: distribution network, distributed generation, short circuit level, over-current protection.
Abstract
A Low PAPR OFDM System with PTS Technique using SUI 5 Channel
A. Loka Pavani, E.V. Vijay
DOI: 10.17148/IJIREEICE.2017.5904
Abstract: In this paper an outdoor channel model known as SUI Channel with Partial Transmit Sequence is used to reduce PAPR which is major drawback in OFDM system. This method has better transmission performance. It can transmit high data rate signals.The performances in terms of bit error rate (BER) and reduction of PAPR has been investigated by using SUI5 channel model. BPSK and PAM modulation techniques are used for analysing BER performance. The proposed frame work can be simulated in MATLAB R2012a.
Keywords: SUI channel, Partial transmit sequence, BER.
Keywords: SUI channel, Partial transmit sequence, BER.
Abstract
A Comparative Study on Student Academic Performance Prediction using Classification Algorithm
R. Sasikala, G. Seenuvasan
DOI: 10.17148/IJIREEICE.2017.5905
Abstract: Data mining is the process of mining the exact data from a large amount of database In other words it can be said that data mining is mining the knowledge from data. A database is collection of inter related data. Normally, the performance of the student is based on the training provided by the teacher and the facilities provided by the institution. J48 classifies the simple c4.5 decision tree for classification. The binary tree is a decision tree approach is most useful in classification problem. The current system uses Naive Bayes, C4.5 and ID3 algorithm for analyzing the performance of the students is used for classifying the students into high and low category. This paper provides comparative study of predicting student level performance using classification algorithm such as Naive Bayes, C4.5 and ID3.
Keywords: Data Mining, Classification algorithm, Naive Bayes, C4.5, ID3 algorithm and Random Forest algorithm.
Keywords: Data Mining, Classification algorithm, Naive Bayes, C4.5, ID3 algorithm and Random Forest algorithm.
Abstract
A Review on Underwater Image Scene Enhancement and Restoration using Image Processing
Ms. Tejal R. Haware, Prof. P. R. Gumble
DOI: 10.17148/IJIREEICE.2017.5906
Abstract: Getting clear images and videos in underwater environments is an important issue in ocean engineering. Restoration and enhancement of underwater images and videos are difficult tasks because of variations of physical properties. The scattering and absorption are the main causes in the underwater environment to make the images and videos decrease their visibility, for example, blurry, colour distortion, low contrast, and reducing visual range. In this work, we proposed a method to estimate underwater scene depth and enhance it using CLAHE (contrast-limited adaptive histogram equalization) to restore real and synthesized underwater images and video and will show better performance.
Keywords: Underwater image, light scattering, light absorption, image enhancement, image restoration.
Keywords: Underwater image, light scattering, light absorption, image enhancement, image restoration.
Abstract
Fog Removal Techniques using Image Processing
Ankita Shrivastava, Dr. Manisha Sharma
DOI: 10.17148/IJIREEICE.2017.5907
Abstract: Fog is a big reason of road accidents, flight delays, late arrival of trains, etc. This project aims to resolve the sight problem faced by car/train/other automobile drivers when driving in cold weather condition/rain. Fog has affected many human activities, such as shipping, travel and warfare. Fog reduces contrast level of the image that affects the visual quality of image. Fog reduces visibility to less than 1 kilometer. For improving the visibility level of an image and reducing fog, various image enhancement methods are used. For improving the visibility level four major steps are used. First step is acquisition process of foggy images. Second is estimation process. Third is enhancement process (improve visibility level, reduce fog). Last process is restoration process (restore enhanced image). The main aim is to review image enhancement and restoration methods for improving the quality and visibility level of an image which provide clear image in bad weather condition.
Keywords: Image defogging, Computational photography, Image restoration, Image enhancement.
Keywords: Image defogging, Computational photography, Image restoration, Image enhancement.
Abstract
A Review on Automatic Soil Water Controller for Different Crops in a Field
Khyati Solanki, K Uma
DOI: 10.17148/IJIREEICE.2017.5908
Abstract: The efficient use of water in agriculture is one of the most important agricultural challenges that modern technologies are helping to achieve. In a country like India where people in huge number are engaged in agriculture, proper and precise irrigation system can lead to much better productivity. This paper presents a system capable of controlling an irrigation system autonomously. By acquiring soil moisture and temperature data, the system is capable to deliver proper quantity of water at the most different periods of crop growth, through the usage of a Programmable Logic Controller (PLC), optimizing the water supply. This project includes selecting field area as well the crop type in selected field.
Keywords: Soil moisture, PLC, Automatic irrigation, Temperature.
Keywords: Soil moisture, PLC, Automatic irrigation, Temperature.
Abstract
Condition Monitoring and Fault Diagnosis of Rolling Element Bearing
Shayela Farheen Aziz, Arun Kumar Sahu
DOI: 10.17148/IJIREEICE.2017.5909
Abstract: Rolling element bearings (REB) find widespread domestic and industrial applications. Proper function of these appliances depends on the smooth and quiet running of the bearings. In industrial applications these bearings are considered as critical mechanical components and a defect in such a bearing, unless detected in time, causes malfunction and may even lead to catastrophic failure of the machinery.[1] Defects in bearings may arise during the manufacturing process as well as over using and weathering of the bearings. Therefore detection of these defects is important for condition monitoring as well as quality inspection of bearings. Different methods are used for detection and diagnosis of bearing defects; they are classified as vibration and acoustic measurements, temperature measurements and wear debris analysis. The purpose of this study is to monitor the condition and diagnosis of fault that may occur in rolling element bearing.[1]
Keyword: REB, bearings, mechanical components, bearing defects.
Keyword: REB, bearings, mechanical components, bearing defects.
Abstract
Vivaldi Antenna for Wall Imaging Through Microwave
Chandra Vijay Singh, Manvendra, A.K. Jaiswal, Mukesh Kumar
DOI: 10.17148/IJIREEICE.2017.5910
Abstract: Vivaldi antenna is an exponentially tapered slot antenna (ETSA), is easy to fabricate and can provide wide bandwidth. In this research work design of a TSA has been discussed which is Vivaldi antenna for UWB frequency using FR4 substrate which has permittivity of 4.4. In this design of Vivaldi antenna the UWB frequency cover from 1.2 to 4.8 GHz. This design is simulated by the CST software. For TWI the return loss S11 should be below -10dB, which is very easily obtained in this design.
Keywords: UWB, Vivaldi antenna, FR4 substrate, TWI, ETSA.
Keywords: UWB, Vivaldi antenna, FR4 substrate, TWI, ETSA.
Abstract
Design and Development of Intellect Webbot- A Novel approach scheme and Utility of Intelligent Agent based Web Crawler
Mrs. P. Jegadeeshwari, Dr. D. Sengeni, Mrs. R. Nithya
DOI: 10.17148/IJIREEICE.2017.5911
Abstract: To completely crawl the World Wide Web, web crawler takes more than a week period of time. This paper focuses on role of agents in providing intelligent crawling over the web. The role of building a proxy server at application level is clearly discussed. The web pages need to be cached for providing better response time. Within this time, there are changes occurred to various pages, so it cannot always be able to provide the updated content to the use. Intellect Webbot will reduce the latency taken for search results by enabling various agents, providing more updated links to the user, also the adeptness to view users’ bookmarks anywhere through our system. Moreover, this system has distributed intelligent agents, which is used to index the web pages in the server with the updated information. The actual scenario is the user going to give the keyword in terms of query to this system. The system contains several agents such as Link repository agent, Regional crawler agent, link maintenance agent, and bookmark agent. The results from this system are the list of URLs along with description about that page. The link in the result page is called context link. Forming the context link, based on the user given keyword and the related link that are available in the link repository, should be made and that would be included in the result page as a list of context links. Unlike other search engines, crawler provides context links to the user, according to the user’s pursuit. This work is accomplished by storing the users’ name along with their search history in the server. The dynamic web cache management scheme is being tested across 30 nodes and its results are discussed. The proposed intelligent crawler is compared with LLI and dynamic web cache scheme and results are discussed. The results achieved from these experiments confirm the efficiency and adaptability of the proposed crawler.
Keywords: Intellect Webbot, World Wide Web, Web Crawler, Intelligent Agent.
Keywords: Intellect Webbot, World Wide Web, Web Crawler, Intelligent Agent.
Abstract
A Review on AC Drive Controller using PLC
Pooja Verma, Ravindra Manohar Potdar
DOI: 10.17148/IJIREEICE.2017.5912
Abstract: An AC drive or variable frequency drive (VFD) is a device that is used to control the speed of an electrical motor. The speed of is controlled by changing the frequency of electrical supply of the motor. It converts the frequency of the network to anything between 0 to 300Hz or even higher and thus controls the speed of motor proportional to the frequency. The benefit of an AC drive is that it controls are normally operating at constant speed. It enables the user to control the speed of motor proportionally that gives him various benefits in terms of process control, system stress and energy savings. PLC or programmable logic controller is a digital computer used for the automation of various electromechanical processes in industries. It consists of microprocessor which is programmed using the computer language. This proposed paper discusses various applications of AC drives and controlling mechanism of PLC.
Keywords: PLC, variable frequency drives, v/f method, AC drives, speed controller, frequency based controller.
Keywords: PLC, variable frequency drives, v/f method, AC drives, speed controller, frequency based controller.
Abstract
PLC based Solar Panel Tracking System with Automatic Tilting Arrangement and Tilt Angle Optimization
Naman Madharia, Tanuja Kashyap, Prabhakar
DOI: 10.17148/IJIREEICE.2017.5913
Abstract: Improving the conversion efficiency of solar panel has become a challenging area of study for researchers. Solar trackers are an alternative to reach this goal, by tracking the position of the sun changes, the productivity of the panel increases. The variation of the tilt angle changes solar radiation that reaches to the surface of the collector. Hence tilt angle is the important factor that affects the performance of a solar collector. This paper presents a new design of a Three-axis solar tracking system which will be based on Programmable Logic Controller (PLC). The automatic tracking system of solar radiation will be done on the basis of tilt angle. In the optimization procedure the objective procedure function is evaluated by using the model of available solar radiation, tracking system consumption and efficiency of solar cell. So with the implementation of the optimization of the tilt angle of solar panel will maximize the power generation.
Keywords: Solar panel, Three-axis tracker, optimization method, PLC.
Keywords: Solar panel, Three-axis tracker, optimization method, PLC.
Abstract
A Robust Density - Based Clustering Approach using DBCURE - MapReduce Techniques
Dhivya. N, Dr. G. Shrivakshan
DOI: 10.17148/IJIREEICE.2017.5914
Abstract: Clustering is a most popular data mining technique. It is designed to discover an inherent natural structure of the data items, where objects in the same cluster are as similar as possible and data items in different clusters are as dissimilar. The DBSCAN and OPTICS are widely used clustering algorithms in density-based clustering. As there is a challenging problem in clustering that is because of an increasing trend of applications to deal with large volume of data. So that recently parallelizing clustering algorithms on large cluster of commodity machines using the MapReduce framework have received a lot of attention. In this paper, we propose DBCURE a novel density based clustering algorithm. It is a robust algorithm to discover the varying densities and is conveyable to parallelize with MapReduce. Concerning to tradition the density-based algorithms find clusters in a serial order. But in this proposed DBCURE-MR finds multiple clusters in a parallel approach. This work prove that DBCURE and DBCURE-MR find the clusters in a correct manner based on the definition of density-based clustering. The experimental results with different kinds of data sets prove that DBCURE-MR finds clusters efficiently without any deviation in finding clusters of varying densities and well balancing with the MapReduce framework.
Keywords: MapReduce, DBCURE, Density based Clustering, Parallelization algorithm.
Keywords: MapReduce, DBCURE, Density based Clustering, Parallelization algorithm.
Abstract
A Comparative Study of Distance Measurement Performances for Image Retrieval using Clustering Techniques
R. Subashini, Dr. G.T. Shrivakshan
DOI: 10.17148/IJIREEICE.2017.5915
Abstract: Image retrieval is the dealing out of looking and retrieving photographs from a huge dataset. As the images grow complex and varied, retrieval the right images becomes a problematic challenge. For centuries, many of the images retrieval is text-based which means searching is based on those keyword and text generated by human‟s creation. On the whole a content based image retrieval system will retrieve some of the aspects image like shape, texture, color and spatial information of each image which is placed in the database and then stores the feature details in a different database called the feature database. The characteristic database carries the function facts of all the snap shots present inside the major database. The feature records are very small in length whilst in comparison with the original picture. The feature database holds the description of the main image in a Compact format. It holds information about the coloration, shape, texture and spatial statistics in a set period actual-valued multi thing function vectors or signature. We can retrieve the feature vectors based on similarity measurements. In this paper, we can survey various similarity measurements in K-means clustering to retrieve the images from image database and a comparison study is also made on the various measurements using precision, recall and F1 score.
Keywords: Content based image retrieval, feature vectors, similarity measurements, and clustering approach.
Keywords: Content based image retrieval, feature vectors, similarity measurements, and clustering approach.
Abstract
Analysis of Gait Recognition Algorithm Models using SURF and SVM – A Comparison
Chinu Sayal, Dr Rajbir Kaur, Dr Charanjit Singh
DOI: 10.17148/IJIREEICE.2017.5916
Abstract: Now-a-days, biometric recognition is a common and reliable way to authenticate any human being based on his physiological or behavioural biometrics [1]. A physiological biometric traits is stable in their biometric like fingerprint, iris pattern, facial feature, hand geometry, gait pattern etc. whereas behavioral biometric traits is related to the behaviour of person such as signature, speech pattern, keystroke pattern. Facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. A specific way or style of proceeding onward foot is characterized as Gait. Gait acknowledgment could be used from a detachment that makes it proper to perceive the offenders doing incorrectly work. In this paper we utilize Hananava's model which is a geometric human body model and an aggregate of 41 Anthropometric parameters should have been measured. The systems being utilized for acknowledgment are SURF and SVM. SURF is a vigorous neighbourhood highlight finder though SVM is a cutting edge characterization strategy. The yield result is being acquired from the blend of these two calculations. Yield is through coordinating the video information outlines with recordings yield outlines.
Keywords: Gait Recognition, Speeded up Robust Features (SURF), Support Vector Machine (SVM).
Keywords: Gait Recognition, Speeded up Robust Features (SURF), Support Vector Machine (SVM).
Abstract
Advanced Bone Crack Detection using Image Processing Techniques
Ramyapriyanandhini. G
DOI: 10.17148/IJIREEICE.2017.5917
Abstract: The bone fracture is a typical issue in people happens because of high weight applied on bone or straightforward mischance and furthermore because of osteoporosis and bone disease. Along these lines the precise analysis of bone break is essential viewpoints in medicinal field. In this work X- ray beam or CT images are utilized for bone fracture investigation. The point of this paper is to build up a image processing based productive framework for a efficient and precise characterization of bone cracks in light of the data picked up from the x-ray or CT images. Images of the cracked bone are acquired from healing facility and handling systems like pre-preparing, division, edge location and highlight extraction strategies are embraced. The handled pictures will be additionally characterized into broken and non fractured bone and look at the exactness of various techniques. This undertaking is completely utilized MATLAB 7.8.0 as the programming language for stacking images, image processing and UI advancement. Results got show the execution of the bone break recognition framework with a few impediments and great precision of 90 %. The different target and subjective assessment measurements and quality are ascertained to analyze the outcomes. The wavelet based combination techniques utilizing diverse combination rules are thought about both subjectively and also impartially. The exploratory outcomes demonstrate that the pixel least strategy is giving the better outcomes in regard of utilizing edge based quality measurements expansion technique saw to be better in protecting the edge data. One Image combination technique can be ideal for one specific application however may not for another application. So it relies upon which data to concentrate, improve, and remake or recover to utilize the specific image fusion strategy.
Keywords: X ray and CT images, Edge detection, Fusion methods, image wavelet, Image fusion.
Keywords: X ray and CT images, Edge detection, Fusion methods, image wavelet, Image fusion.
Abstract
Shuffled Differential Evolution for Economic Load Dispatch Problem
Mr. Mohd. Mustafa, Mr. Perala Sridhar
DOI: 10.17148/IJIREEICE.2017.5918
Abstract: Electrical power industry restricting has created highly vibrant and competitive market that altered many aspects of the power industry. In this changed scenario, scarcity of energy resources, increasing power generation cost, environment concern, ever growing demand of electrical energy necessitate optimal economic dispatch. Practical economic dispatch (ED) problems have nonlinear, non-convex type objective function with intense equality and inequality constraints. The conventional optimization methods are not able to solve such problems as due to local optimum solution convergence. This work proposes a novel metaheuristic optimization methodology aimed at solving economic dispatch problem considering valve point loading effects. The differential evolution (DE) may occasionally stop proceeding toward the global optimum even though the population has not converged to a local optimum. This situation is usually referred to as stagnation. DE also suffers from the problem of premature convergence, where the population converges to some local optima of a multimodal objective function, losing its diversity. Shuffled frog leaping algorithm (SFLA) is a newly developed mimetic metaheuristic algorithm for combinatorial optimization, which has simple concept, few parameters, high performance, and easy programming. SFLA and its variants have been successfully applied to various fields of power system optimization. The proposed approach is based on a hybrid shuffled differential evolution (SDE) algorithm which combines the benefits of SFLA and DE. The SDE algorithm integrates a novel differential mutation operator specifically designed to effectively address the problem under study. In order to validate the proposed methodology, detailed simulation results obtained on three standard test systems having 3, 13, and 40-units are presented and discussed. A comparative analysis with other settled nature-inspired solution algorithms demonstrates the superior performance of the proposed methodology in terms of both solution accuracy and convergence performances.
Keywords: Particle Swarm Optimization, Load Dispatch, Shuffled Frog Leaping Algorithm.
Keywords: Particle Swarm Optimization, Load Dispatch, Shuffled Frog Leaping Algorithm.
Abstract
Modeling of Distributed Interline Power Flow Controller for Reduces the Oscillations by using Particle Swarm Optimization
J.Madana Gopal, RajaReddy. Duvvuru
DOI: 10.17148/IJIREEICE.2017.5919
Abstract: The purpose of the work reported in this paper is to design an oscillation damping controller for DIPFC to damp low frequency electromechanical oscillations. The optimal design problem is formulated as an optimization problem, and particle swarm optimization (PSO) is employed to search for the damping controller parameters. Results demonstrate that DIPFC with the proposed model can more effectively improve the dynamic stability and enhance the transient stability of power system compared to the genetic algorithm based damping controllers. The r and λ are relative magnitude and phase angle of DIPFC controller. Moreover, the results show that the λ based controller is superior to the r based controller.
Keywords: FACTS Controllers,UPFC,DIPFC.
Keywords: FACTS Controllers,UPFC,DIPFC.
Abstract
Modeling of Active SFCL for Reduction of Fault Current and Over Voltages in Distribution System
K.Manohar, RajaReddy Duvvuru
DOI: 10.17148/IJIREEICE.2017.5920
Abstract: The small renewable resources is becoming one of the major systems to generate electricity in distribution generation systems to feed electrical loads. Fault current level has become a major problem in distribution system operations. The effect of short circuit current and induced over voltages under abnormal conditions should be avoided for reliable operation .That abnormal conditions effect can be limited by applying an active type Super conducting Fault Current Limiter (SFCL) in distribution system. Effects of a voltage compensation type active SFCL on that abnormal conditions are studied through theoretical derivation and simulation. The active SFCL mainly consists of an air-core superconducting transformer and converter. During the study process, by changing the locations of the DG units and the fault locations, the current-limiting and overvoltage suppressing characteristics by active SFCL are simulated in MATLAB /SIMULINK. The simulation results show that the active SFCL can regulate the fault current and overvoltage in the presence of distributed generation, and it can nullify the damage of the distribution equipment and improve the system reliability and safety.
Keywords: Overvoltage suppressing, fault circuit current limitation, active SFCL (Superconducting Fault Current Limiter) and Distributed Generation.
Keywords: Overvoltage suppressing, fault circuit current limitation, active SFCL (Superconducting Fault Current Limiter) and Distributed Generation.
Abstract
Design and Implementation of Fuzzy Logic Controller for Autonomous Underwater Vehicle
D. Aruna Sri, G. Raja Rao, P.V.V. Rama Mohana Rao, K. Raghuram
DOI: 10.17148/IJIREEICE.2017.5922
Abstract: The objective of this study is to design a fuzzy logic controller (FLC) for Autonomous Underwater Vehicle (AUV) model for controlling the Pitch and Depth. In this process, fuzzy controllers are designed and implemented for controlling the AUV in the depth plane. Subsequently the controller performance is evaluated in the presence of dynamics of complete model maneuverings. AUV dynamics have been derived under various assumptions on the motion of the vehicle. Plant transfer function is extracted from the hydrodynamic coefficients. Fuzzy logic controller (FLC) using Sugeno type fuzzy inference system is employed with minimal number of rules for Pitch and Depth control. The FLC based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. In Pitch control FLC inputs are error and error rate, in depth control FLC inputs are error, pitch rate and pitch. This study also involves the design of conventional P and PD controller for comparing performance of FLC. The simulation results show the better performance by applying proposed control strategy. MATLAB control tool box is used for design, implementation and simulation.
Keywords: Autonomous underwater vehicles, Six Degrees of Freedom, Conventional controller, Fuzzy Logic Controller, Depth control.
Keywords: Autonomous underwater vehicles, Six Degrees of Freedom, Conventional controller, Fuzzy Logic Controller, Depth control.
Abstract
Enhancement of Energy Management System of Hybrid Renewable System by HSS
Dr. S B Shivakumar, Sampathkumar. V. Patil
DOI: 10.17148/IJIREEICE.2017.5923
Abstract: The cost of a renewable energy (RE) is higher than a conventional fuel-driven engine, but has less or negligible operating cost. Due to the above advantage of RE on the reliability and cost effectiveness, system designers are looking for ways to combine known as hybrid power system. Therefore, hybrid power system is used to reduce the dependency either on conventional energy. In these Paper we are combining Wind Turbine and PV System, through which EMS is controlled. But considering the Reliability and quality, charging and Discharging of battery remains an prime importance especially during the Power outages or Load variations. Unlike conventional approaches, Evolutionary algorithm like Hyper-Spherical Search (HSS) are used for tuning the PID Parameters through which charging and Discharging of Batteries are controlled. Usage of Evolutionary algorithm not only improves the power quality but also maintance balance between generation and load.
Keywords: Hybrid Renewable Energy System, PID Controller, Hyper-Spherical Search, Wind-Turbine, PV.
Keywords: Hybrid Renewable Energy System, PID Controller, Hyper-Spherical Search, Wind-Turbine, PV.
Abstract
Abasement of Harmonics by Adopting Fault-tolerant Nine-level Inverter for Grid- independent PV System
P. Venkatachalam, K. Dileep Kumar Reddy
DOI: 10.17148/IJIREEICE.2017.5924
Abstract: In this paper, a fault-tolerant single-phase nine-level inverter configuration is proposed for photo-voltaic (PV) generation systems. Conventional two-level inverters are popularly used in PV applications, but these inverters provide the output voltage with considerable harmonic content. One of the efficient ways to improve the power quality of PV generation systems is to replace a two-level inverter with a multilevel inverter. Conventional multilevel inverters reduce total harmonic distortion and filter requirements effectively, but it has limitations in terms of reliability due to increased device count and capacitor voltage balancing issues. Therefore, a fault-tolerant single-phase five-level inverter is presented, which is constructed by using a half-bridge two-level inverter, a three-level diode clamp inverter, and a bidirectional switch. fault-tolerant single-phase five-level inverter has less number of switching devices compared to conventional five-level inverters, but these inverter also provides considerable harmonic content. Therefore a fault-tolerant single-phase nine-level inverter is presented. The proposed inverter topology can tolerate the system faults due to failure of the source and/or switching devices with least modification in the switching combinations. Nine-level inverter configuration is formed by cascading the two five-level inverters. The proposed system under normal and faulty condition is simulated in MATLAB/Simulink environment.
Keywords: Fault-tolerant multilevel inverters, photo-voltaic (PV) generation system, power quality, total harmonic distortion (THD).
Keywords: Fault-tolerant multilevel inverters, photo-voltaic (PV) generation system, power quality, total harmonic distortion (THD).
Abstract
A New Interleaved Three-Phase Single-Stage PFC AC-DC Converter with Flying Capacitor
Mohd. Mustafa, P.V.S Aditya
DOI: 10.17148/IJIREEICE.2017.5925
Abstract: A new interleaved three-phase PFC AC-DC single stage multilevel is proposed in this paper. The proposed converter uses a flying capacitor structure with a standard phase shift PWM to improve efficiency, particularly at light load conditions. In the paper, the operation and its steady state characteristics are explained and its design is discussed. The feasibility of the new converter is confirmed with experimental results obtained from a prototype converter. The proposed converter integrates the operation of the boost power factor correction and the three-level dc–dc converter. The converter is made to operate with two independent controllers—an input controller that performs power factor correction and regulates the dc bus and an output controller that regulates the output voltage. The input controller prevents the dcbus voltage from becoming excessive while still allowing a single-stage converter topology to be used. The paper explains the operation of the new converter in detail and discusses its features and a procedure for its proper design.
Keywords: AC–DC Power Conversion, Three-Stage Power Factor Correction, static induction thyristor, single-stage power factor, Flying Capacitor.
Keywords: AC–DC Power Conversion, Three-Stage Power Factor Correction, static induction thyristor, single-stage power factor, Flying Capacitor.
Abstract
A Review on IOT Based Power Theft Detection and Control Systems
Harsha Khandel, Suchitra Pandey, D. Reynolds
DOI: 10.17148/IJIREEICE.2017.5926
Abstract: Power theft detection and control system using Internet of things present an efficient and less costly way to transfer the power consumed by the consumer wirelessly as Electricity consumer dishonesty is a serious problem faced by all utilities. This wireless technology is used to overcome the theft of electricity which can be done by using excess amount of power beyond the limit of meter. In this paper, main purpose is to monitor the power consumed by a model organization such as household consumers, various industries etc. Detection and control of power has been done by calculating the power consumed by the user at a given time with the help of meter. Electricity meter consists theft detection unit which will notify company side in the event of meter tempering or theft practice occur in electricity meter and also it will send information regarding theft detection by using modem and the theft detected will be displayed on the terminal screen or window of the company side, so that they send message to the registered contact number of the customer as a warning. Due to this, customer receive the warning message even though they are continue using the excess power then Electricity board section will cut the power supply of the customer. IOT operation can be performed by Wi-Fi device which sending meter data to the web page through the IP address. The IOT based concept are used so that Electricity board section continuously monitor the consumption of power and billing information that is calculated using microcontroller.
Keywords: Internet of things, detection, electricity theft, microcontroller, IP address, electricity meter.
Keywords: Internet of things, detection, electricity theft, microcontroller, IP address, electricity meter.
Abstract
A Novel Three-Phase to Nine-Phase Transformation using a Special Transformer Connection
Mohd Rizwan Khalid
DOI: 10.17148/IJIREEICE.2017.5927
Abstract: Multiphase i.e. more than three phase electric power supply for electric drive system is the main focus of research in the last decade. Since the three-phase supply is available from the grid, there is a need to develop a static phase transformation system to obtain a multiphase supply. As, the variable speed multiphase drive system considered in the literature are mostly of five, seven, nine, eleven, twelve, and fifteen phases and such multiphase drive systems are invariably supplied from power electronic converters, thus overall system constitutes of complex control circuit and moreover the line current drawn from three phase supply have appreciable amount of harmonics due to power electronics elements in the circuit. In contrast, this paper proposes technique to obtain nine-phase output from three- phase supply system using special transformer connections. Thus, with the proposed technique, a pure nine-phase sine- wave voltage/current is obtained, which can be used in multiphase drive systems.
Keywords: Multiphase, nine phase, transformer, turn ratio.
Keywords: Multiphase, nine phase, transformer, turn ratio.