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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
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Articles 11 Documents
Search results for , issue "Vol 6, No 3: September 2017" : 11 Documents clear
Influences of Hybrid Cooling Mechanism through PV System under Solar Simulator Testing Y.M. Irwan; A.R. Amelia; M. Irwanto; W.Z. Leow; Z. Syafiqah; I. Safwati
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.007 KB) | DOI: 10.11591/ijaas.v6.i3.pp213-220

Abstract

An increasing efficiency of the solar system can be improved by using hybrid cooling mechanism. This paper presents the impact of hybrid cooling mechanism on PV panel under indoor testing with varying solar intensity. Thus, the fabrication of a solar simulator for indoor testing reacts as the space solar radiation is described. The performance of PV panel which attached to a hybrid cooling mechanism compared with PV panel without cooling mechanism under variation of average solar radiation. Experimental tests were carried out for various average solar radiations by varying the number of lamps and/or the lamp-to-area distance. Without altering the spectral distribution, the characteristic of current-voltage of PV panel was analysed under average solar radiation which varied from 202 W/m2 to 1003 W/m2. As the result, the PV panel with hybrid cooling system explored to generate more power output with decreasing in PV panel temperature. About 15.79 % increment of power output generated by PV panel with cooling at maximum average solar radiation. Furthermore, the PV panel temperature also can be decreased about 10.28 % respectively. The combination of DC fan and water pump as cooling mechanism plays an important role in generating efficient power output from PV panel.
Hybrid Photovoltaic and Wind Power System with Battery Management System using Fuzzy Logic Controller M. Venkateshkumar; R. Raghavan
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.053 KB) | DOI: 10.11591/ijaas.v6.i3.pp268-273

Abstract

In recent year, the development of hybrid renewable energy sources has the important role of power generation. This paper focused on  design of hybrid PV / Wind power system and its battery management system. The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are evaluated and validating the effectiveness of the proposed controller.
Water Pumping Using Solar Energy Mehimmedetsi Boujemaa; Chenni Rachid
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.44 KB) | DOI: 10.11591/ijaas.v6.i3.pp221-229

Abstract

This article defines a simulation model of a simple system based essentially solar pumping of a photovoltaic generator and a DC motor with permanent magnet type of load as the centrifugal pump, in order to optimized the whole system it is necessary introduce a boost converter
The Empirical Analysis to Enhance Taiwanese Satisfaction in Buying Vietnam coffee Thi Nham Le; Chia Nan Wang; Ying Fang Huang
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (935.309 KB) | DOI: 10.11591/ijaas.v6.i3.pp274-282

Abstract

Vietnam coffee industry has been well-known over the world for many decades. However, Vietnam products do not meet Taiwan customers’ expectation, it has lead to urgent challenges for the industry. Therefore, the paper proposed the integrated approach by using exploratory factor analysis, reliability analysis and regression analysis. The results of this study were used to formulate and recommend on how to improve the products of Vietnam coffee by using SPSS statistics for analysis. The major findings of this paper was found out that there are six important determinants of Taiwanese decision-making in buying coffee. In order to enhance customer satisfaction with the coffee products from Vietnam, the companies need right strategies to improve these six groups of factors. The paper contributes meaningful and helpful results to the development of Vietnam coffee industry.
Highly effective Security Techniques in OSN Based on Genetic Programming Approach Y.N.S.R. Bharadwaj; K. Raja Sekhar
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.894 KB) | DOI: 10.11591/ijaas.v6.i3.pp230-234

Abstract

Assurance is one of the grinding centers that enhances when trades get mediated in Online Community Techniques (Online Social Networks). Diverse gatherings of utilization innovation specialists have limited the 'OSN security issue' as one of surveillance, institutional or open security. In taking care of these issues they have moreover overseen them just as they were person. We adapt that the elite security issues are caught and that evaluation on genuine feelings of serenity in Online Social Networks would advantage from a more exhaustive method. Nowadays, points of interest systems mean a critical piece of relationship; by losing security, these organizations will decrease a ton of pleasant areas to see as well. The inside motivation behind subtle elements security (Information Security) is risk control. There are a great deal of discovering works and exercises in security danger control (ISRM, for example, NIST 800-30 and ISO/IEC 27005. Regardless, only few works of appraisal focus on Information Security danger diminishment, while the signs depict normal determinations and suggestions. They don't give any use ideas concerning ISRM; truth be told diminishing the Information Security dangers in questionable conditions is cautious. Subsequently, this papers joined an acquired counts (GA) for Information Security danger loss of weaknesses. Finally, the parity of the associated system was broke down through a reflection.
Identification of a Non-Linear System Using Volterra Series Model with Calculated Kernels by Legendre Orthogonal Function Vahid Mossadegh; Mahmood Ghanbari
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.655 KB) | DOI: 10.11591/ijaas.v6.i3.pp185-192

Abstract

Modeling and identification of non-linear systems have gained lots of attentions especially in industrial processes. Most of the actual systems have non-linear behavior and the first and simplest solution in modeling such systems is to linearize them which in most cases the result of linearization is not satisfactory. In this paper, modeling of non-linear systems is investigated using Volterra series model based on Legendre orthogonal function. Expansion of Volterra series kernels by Legendre orthogonal functions causes a reduction in the number of model parameters; hence, complexity of calculations would be decreased. Besides, if the free parameter is selected properly in these orthogonal functions, error is reduced and convergence speed of parameters is increased which leads to an increase in identification accuracy. In this paper, identification of non-linear system is presented with Volterra series expanded by Legendre function and PSO algorithm is used to calculate the optimum free parameters of Legendre function. Finally, in order to validate the efficacy and accuracy, the proposed algorithm is implemented on a non-linear system i.e. heat exchanger with actual data
A Fuzzy GA Based STATCOM for Power Quality Improvement S. Deepa; K. P. Nithya; C. S. Ajin Sekar; V. Deepalakshmi
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (832.87 KB) | DOI: 10.11591/ijaas.v6.i3.pp235-243

Abstract

This paper deals with various power issues such as voltage sag, swell, harmonics, and surges using static synchronous compensator (STATCOM).The conventional controller suffers from uncertain parameters and non-linear qualities. However they are computationally inefficient extending to optimize the fuzzy controller (FC) parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a genetic algorithm (GA) based Fuzzy controller parameter optimization is presented in this paper. The GA algorithm is used to find the optimal fuzzy parameters for minimizing the objective functions. The feasibility of the proposed GA technique for distribution systems to improve the sag and total harmonic Distortion (THD) as major power quality indices in sensitive loads at fault conditions has been simulated and tested. Therefore, the multi-objective optimization algorithm is considered in order to attain a better performance in solving the related problems.
A Novel Analysis of Improving Displacement Factor Using IVDFC in Distribution Systems M. Padmarasan; C.T. Manikandan; N. Karthikeyan; L. Jayaprakash; C.S. Ajin Sekhar
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (862.961 KB) | DOI: 10.11591/ijaas.v6.i3.pp193-202

Abstract

In this paper discuss the new approach for improving displacement factor using an Interline Dynamic Voltage Restoring and Displacement Factor Controlling Device (IVDFC) in a distribution system. An Interline Dynamic Voltage Restorer (IDVR) is perpetually engaged in distribution systems to mitigate voltage sag/swell problems. An IDVR simply consists of numerous dynamic voltage restorers (DVRs) sharing a common dc link connecting independent feeders to safe electric power to critical loads. The IDVR is operated that it hold the voltage across the critical load bus terminals constant at system nominal frequency irrespective of the changes occurring in source voltages frequency. While one of the DVRs compensates for the local voltage sag in its feeder, the other DVRs reload the common dc-link voltage. For normal voltage levels, the DVRs should be bypassed. Instead of bypassing the DVRs in normal conditions, this paper proposes operating the DVRs, if needed, to improve the displacement factor (DF) of one of the involved feeders. DF improvement can be achieved via active and reactive power exchange (PQ sharing) between different feeders. To successfully apply this concept, several constraints are addressed throughout the paper. The simulation model for this system is developed using MATLAB which is shown that the voltage across the critical load is regulated completely.
Induction Motor Drive based on Efficiency Optimisation andDrive Loss Minimization in Real-Time Control of Linkage Flux of Drive Reference Farshid Abdolahnejad Baroogh; Milad Gheydi; Payam Farhadi
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.126 KB) | DOI: 10.11591/ijaas.v6.i3.pp244-257

Abstract

Induction motor drives are commonly used for applications with vast variations in mechanical load for torques under nominal values. HVAC loads are among these loads. The most ideal scheme for induction motor drive design should include drive loss reduction, or efficiency improvement, proportional to load torque such that optimal performance of drive is not affected. In this paper, using analytical methods, an accurate model is proposed for induction motor drive design. This model allows us to utilize real control and classical control theory for better performance of drive control system. The most damaging mechanical load for induction motor drive is impulse load or so-called periodic load. A scheme proposed for power loss control includes loss control for this type of load, meanwhile, robustness of drive system and stator frequency stability are retained. Main advantages for this scheme are applicability and implementation on various induction motor drives with various powers, without any specific requirements and the least possible computation for the processors.
Modeling of Magnetizing Inrush and Internal Faults for Three-Phase Transformers Farhad Namdari; Mohammad Bakhshipour; Behroz Rezaeealam; Mohammad Sedaghat
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1344.646 KB) | DOI: 10.11591/ijaas.v6.i3.pp203-212

Abstract

Among the most noticeable root causes of improper performance in power transformers, internal short circuit faults can be noted and if not quickly be identified and addressed in the accepted time interval, irrecoverable damages such as interruption or even collapse of the network connected to the power transformer would happen. In this contribution, three-phase transformer behaviors under magnetizing inrush, internal short circuit condition and their current values determination have been surveyed using electromagnetic coupling model approach and structural finite element method. Utilizing the definition of transformer in the form of multi-coil and their electromagnetic and electric couple, a three dimensional geometric model of transformer is developed which includes nonlinear characteristics of the transformer, different states of normal and under internal short circuit occurrence and the moment of magnetizing inrush creation are investigated. The comparison between obtained results of presented model simulation with the consequences of practical studies on a typical three phase transformer reveals that the proposed model has a reliable accuracy in detection and modelling the transformer behavior in normal conditions, magnetizing inrush and different types of internal faults. The proposed approach represents an accurate model of a three-phase transformer for protection aims.

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