Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,734 Article Results

Power quality enhancement by using D-FACTS systems applied to distributed generation

10.11591/ijpeds.v10.i1.pp330-341
Si Zegnoun Ahmed , Mohammed Nasser Tandjaoui , Mokhtar Djebbar , Chellali Benachaiba , B. Mazari
In the majority of the isolated areas, the diesel generator is the principal source of electric power. For these areas, the price of extension of the electrical supply network is prohibitory and the price of fuel increases radically with insulation. The continuous fall in the prices of the generators based on renewable energy and the increasing reliability of these systems led to a greater use of the sources of renewable energy for the generation of electric power in the isolated areas. The diesel generators can incorporate in a network with other sources in base of renewable energies in order to create a new network known as distributed network. More recently intermittent renewable resources such as the wind power were considered as a distributed generation which is seen as being deployed to reduce the total emissions. The distributed generation equipment sets causing electric disturbances result in destabilizing the global network as well as pollutant, for these reason, system D-FACTS comes to answer all the concern of the customers, manufacturers, suppliers and the managers of the distributed network.
Volume: 10
Issue: 1
Page: 330-341
Publish at: 2019-03-01

Comparison between PI, PR+HC, and modified PR+HC current controller in inverter system

10.11591/ijeecs.v13.i3.pp1167-1174
S. Salimin , M. Armstrong , S.A. Jumaat , R. Hamdan
This paper presents the comparison between proportional integral (PI) current controller, proportional resonance and harmonic compensator (PR+HC) current controller and modified PR+HC current controller in the inverter system. Power electronic components like inverter and current controller uses in the system produce unwanted harmonics that affect the quality of distribution power network. In this study, development and simulation of current controller using conventional proportional integral (PI), the selective harmonic compensation scheme (PR+HC), and modified version of the latter are considered so to overcome these harmonics injection. Modification is by adding control parameter randomisation technique to the PR+HC scheme. Results compare the three controllers and proved that with modification to the selective harmonic compensation scheme, the overall current THD can be reduced
Volume: 13
Issue: 3
Page: 1167-1174
Publish at: 2019-03-01

KED-AES algorithm: combined key encryption decryption and advance encryption standard algorithm

10.11591/ijaas.v8.i1.pp44-53
Edwin Romeroso Arboleda , Carla Eunice R. Fenomeno , Joshua Z. Jimenez
Two existing cryptosystems are being combined and proposed. It is the enhanced combination of KED (Key Encryption Decryption), a cryptosystem that uses modulo 69 and the AES (Advance Encryption Standard) cryptography. The strength of the KED is that the keys are being used by the sender and the receiving end. The AES is easy to implement and has good defense against various attacks such as hacking.
Volume: 8
Issue: 1
Page: 44-53
Publish at: 2019-03-01

Performance analysis of hybrid photovoltaic/wind energy system using KY boost converter

10.11591/ijpeds.v10.i1.pp433-443
Murugan Pushpavalli , N.M Jothi Swaroopan
Nowadays tremendous increase in renewable energy technologies available in abounding nature energy extracted from sun, wind etc.  This Proposed topology gathered maximum power using multi input ky boost converters for hybrid energy. This hybrid topology operates mainly delivered the power from renewable energy sources solar/wind to dc bus. In the absence of any one source, wind or solar supplies power to the dc bus. Without any renewable energy sources battery deliver the power to dc bus.An inverter type module convert the power from dc bus to ac grid. In this paper effectiveness of hybrid renewable energy is simulated through MATLAB/SIMULINK
Volume: 10
Issue: 1
Page: 433-443
Publish at: 2019-03-01

A Study of specific absorption rate in human head due to electromagnetic exposure to 4G signals

10.11591/ijeecs.v13.i3.pp1161-1166
Siti Rokiah Abdul Mutalik , Mohd Hafizuddin Mat , Muzammil Jusoh , A. W. N. Husna
This paper presents a numerical analysis of the specific absorption rate in SAM phantom exposed to electromagnetic field. A two set dipole antenna operating with 1800MHz and 2600MHz were placed parallel to the z-axis and rotated in clockwise from 0o (vertical) to 180o in steps of 30o to investigate the effect of frequency and polarization. The maximum average of 1gram and 10gram of tissue have been presented to show the effect of SAR in SAM phantom model. A comparison of the mass average SAR in head shows the 1g of SAR at 2600MHz is double to 1800MHz frequency. While for 10g of SAR, slightly different for both 1800MHz and 2600MHz.
Volume: 13
Issue: 3
Page: 1161-1166
Publish at: 2019-03-01

Speech recognition of moroccan dialect using hidden markov models

10.11591/ijai.v8.i1.pp7-13
Bezoui Mouaz , Beni-hssane Abderrahim , Elmoutaouakkil Abdelmajid
This paper addresses the development of an Automatic Speech Recognition (ASR) system for the Moroccan Dialect. Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken in the Arab world. In fact, Moroccan Dialect is very different from the Modern Standard Arabic (MSA) because it is highly influenced by the French Language. It is observed throughout all Arab countries that standard Arabic widely written and used for official speech, news papers, public administration and school but not used in everyday conversation and dialect is widely spoken in everyday life but almost never written. we propose to use the Mel Frequency Cepstral Coefficient (MFCC) features to specify the best speaker identification system. The extracted speech features are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.
Volume: 8
Issue: 1
Page: 7-13
Publish at: 2019-03-01

Double star induction machine using nonlinear integral backstepping control

10.11591/ijpeds.v10.i1.pp27-40
Abden Abdallah , A. Bouchetta , O. Boughazi , A. Baghdadi , L K. Bousserhane
This paper presents a nonlinear Integral backstepping control approach based on field oriented control technique, applied to a Double Star Induction Machine ‘DSIM’ feed by two power voltage sources. We present this technique of integral backstepping by using reduced and complete Model of DSIM. The objective is to improve the robustness of machine under internal parameter variation with nonlinear Integral backstepping control. The robustness test results obtained by simulation prove the effectiveness of control with using complete model of DSIM.
Volume: 10
Issue: 1
Page: 27-40
Publish at: 2019-03-01

Unified power quality conditioner supplied by fuel cell system via SEPIC converter

10.11591/ijpeds.v10.i1.pp178-194
Benadid Slimane , Abdelkhalek Othmane , Abdallah Ben Abdelkader
This paper presents a combined operation of the Unified Power Quality Conditioner (UPQC) with Fuel cell system (FC). The proposed system consists of a series inverter, a shunt inverter and a Fuel cell that is connected with the DC link of UPQC through a back boost converter, where it is a SEPIC converter. The mean purpose for using the SEPIC converter is ensuring a constant DC link voltage value and to make the FC system intervening only in the case when the DC link energy is insufficient. Excepting this case, the FC system will be in the standby state. To validate the proposed topology, several sags of source voltage have been applied, at the point of common coupling (PCC).The simulation results from MATLAB/SIMULINK are discussed to verify the proposed topology. 
Volume: 10
Issue: 1
Page: 178-194
Publish at: 2019-03-01

Scalarizing functions in solving multi-objective problem-an evolutionary approach

10.11591/ijeecs.v13.i3.pp974-981
D. Vasumathi , Thangavelu S
Scalarizing functions had long been observed for optimization of multi-objective problems. Scalarizing functions on multi-objective problem along with Differential Evolution (DE) algorithm variants had been used to analyze the effect of scalarizing functions. The main purpose is to find the better scalarizing function which can be applied for optimization. The effective solution of the multi-objective problem depends on the various factors like the DE algorithm and the scalarizing functions used. Multi objective evolutionary algorithm (MOEA) framework in java had been used for performing the analysis. The Obtained results showed that Tchebysheff scalarization function performs better than the other scalarizing functions on various indicator functions used.
Volume: 13
Issue: 3
Page: 974-981
Publish at: 2019-03-01

Maximum power control for photovoltaic system using intelligent strategies

10.11591/ijpeds.v10.i1.pp423-432
Mohammed Slimi , Abdelkrim Boucheta , Bousmaha Bouchiba
The power supplied by photovoltaic DC–DC converter is affected by two factors, sun irradiance and temperature. Therefore, to improve the performance of the PV system; a mechanism to track the maximum power point (MPP) is required. Conventional maximum power point tracking approaches, such as observation and perturbation technique present some difficulties in identifying the true MPP. Therefore, intelligent systems including fuzzy logic controllers (FLC) are introduced for the maximum power point tracking system (MPPT). In this paper, we present a comparative study of the PV standalone system which is controlled by three techniques. The first one is conventional based on the observation and perturbation technique, the other are intelligent based on fuzzy logic according Mamdani and Takagi-Sugeno models. The investigations show that the fuzzy logic controllers provide the best results and Takagi-Sugeno model presents the lower overshoot value.
Volume: 10
Issue: 1
Page: 423-432
Publish at: 2019-03-01

Determining the operational status of a three phase induction motor using a predictive data mining model

10.11591/ijpeds.v10.i1.pp93-103
Aderibigbe Israel Adekitan , Adeyinka Adewale , Alashiri Olaitan
The operational performance of a three phase induction motor is impaired by unbalanced voltage supply due to the generation of negative sequence currents, and negative sequence torque which increase motor losses and also trigger torque pulsations. In this study, data mining approach was applied in developing a predictive model using the historical, simulated operational data of a motor for classifying sample motor data under the appropriate type of voltage supply i.e. balanced (BV) and unbalance voltage supply (UB = 1% to 5%). A dataset containing the values of a three phase induction motor’s performance parameter values was analysed using KNIME (Konstanz Information Miner) analytics platform. Three predictive models; the Naïve Bayes, Decision Tree and the Probabilistic Neural Network (PNN) Predictors were deployed for comparative analysis. The dataset was divided into two; 70% for model training and learning, and 30% for performance evaluation. The three predictors had accuracies of 98.649%, 100% and 98.649% respectively, and this confirms the suitability of data mining methods for predictive evaluation of a three phase induction motor’s performance using machine learning
Volume: 10
Issue: 1
Page: 93-103
Publish at: 2019-03-01

A different visions for uninterruptible load using hybrid solar-grid energy

10.11591/ijpeds.v10.i1.pp381-387
Mohamed Ibrahim A. Arafa , El-Sayed Soliman A. Said
Attempting to reduce the existing electricity consumption bill, as well as the stability and non-outage grid recharge with the lowest possible cost and suitable quality, is one of the most important goals for those interested in energy around the world. This paper study the circumstances surrounding the Egyptian society to find the best solutions to a achieved this goals, and it was found that solar energy is one of the best alternatives available for energy. Firstly will be study the electricity consumption bill, slice prices and a program was made to calculate the consumption invoice moreover another program for quick estimation to the proposed solar system.The proposed system provides a smart integration between the solar system and grid, where the supply sustainability and the optimal cost are considered. This configuration allows the two sources separately or simultaneously supply the loads depending on photovoltaic extracted energy. Operational analysis of the proposed system will discussed in this paper. The proposed system consists of solar cells, charge controller, batteries and inverter plugged to automatic transfer switches (ATS) using Programmable Logic Control (PLC). The system grantee a safe and reliable load feeding independently on the grid status. The system durability is the most depicted feature through the modelling and experimentally results. A typical case studies for about four years of non-outages photovoltaic-grid hybrid supply (the implemented system) will be presented and discussed.
Volume: 10
Issue: 1
Page: 381-387
Publish at: 2019-03-01

Dynamic analysis of the high-power factor three-phase AC to DC converter using current injection hybrid resonant Technique

10.11591/ijpeds.v10.i1.pp538-547
Rahimi Baharom , Mohammad Nawawi Seroji
This paper presents the dynamic analysis of the high-power factor three-phase ac to dc converter using current injection hybrid resonant technique in order to investigate the characteristics of the output voltage, line current, DC-link voltage and the resonant current of the proposed converter. The dynamic analysis have been developed based on a separate analysis of the rectifier line-frequency operation and at the resonant circuit high-frequency. Converter circuit analysis have been performed based on the operation at the fundamental frequency. The power balance relation method has been included in order to match the line frequency equation with the high frequency resonant stage equation. This analysis can be envisaged to be the heart of the small-signal model to design the output voltage regulation and maintain a high-power factor input line current of the proposed converter.
Volume: 10
Issue: 1
Page: 538-547
Publish at: 2019-03-01

Design and development of SEPIC DC-DC boost converter for photovoltaic application

10.11591/ijpeds.v10.i1.pp406-413
Ibrahim Alhamrouni , M. K. Rahmat , F. A. Ismail , Mohamed Salem , Awang Jusoh , T. Sutikno
This study highlights a new construction of SEPIC DC-DC converter. The proposed converter aims for some features such as high voltage gain, continuous input current and reduce stress on the power switch. In addition, the circuit construction ensurs the simplicity in design along with signicant cost saving, since its components are readily available and smaller in size compared to the off-shelf components. This type of converter can adjust the DC voltage to maintain its output voltage to be constant. Typically, SEPIC operated in equipment that uses battery and also in wide range input voltage DC power supply. The converter is designed for renewable energy application where it is able to regulate the output voltage of the Photovoltaic (PV). The converter has been analysed based on different switching frequencies and duty cycle. Thus the outcome of the proposed converter can be achieved by using D=0.45 and fs=30 kHz. The proposed converter is supplied by 26V as an input voltage and produces 300V output and gives 94% of efficiency.
Volume: 10
Issue: 1
Page: 406-413
Publish at: 2019-03-01

An enhanced hybridized artificial bee colony algorithm for optimization problems

10.11591/ijai.v8.i1.pp87-94
Xingwang Huang , Xuewen Zeng , Rui Han , Xu Wang
Artificial bee colony (ABC) algorithm is a popular swarm intelligence based algorithm. Although it has been proven to be competitive to other population-based algorithms, there still exist some problems it cannot solve very well. This paper presents an Enhanced Hybridized Artificial Bee Colony (EHABC) algorithm for optimization problems. The incentive mechanism of EHABC includes enhancing the convergence speed with the information of the global best solution in the onlooker bee phase and enhancing the information exchange between bees by introducing the mutation operator of Genetic Algorithm to ABC in the mutation bee phase. In addition, to enhance the accuracy performance of ABC, the opposition-based learning method is employed to produce the initial population. Experiments are conducted on six standard benchmark functions. The results demonstrate good performance of the enhanced hybridized ABC in solving continuous numerical optimization problems over ABC GABC, HABC and EABC.
Volume: 8
Issue: 1
Page: 87-94
Publish at: 2019-03-01
Show 1315 of 1983

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration