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29,905 Article Results

Mitigation of Voltage Fluctuation in Power Distribution System Using D-STATCOM

10.11591/ijeecs.v2.i3.pp530-536
Yahia M Esmail , S K Elsayed , M A Mehanna
Electrical Power Quality is becoming intensity concerned from both electric utilities and customers. Voltage Fluctuations is a major power quality problem as it has a significant impact on both the equipment and production environment. This work describes the voltage control technique of mitigation of voltage fluctuations and clearing fault using Distribution Static Synchronous Compensator (DSTATCOM). The test system used is IEEE 9-bus distribution system clarified optimal location of DSTATCOM by using Artificial Neural Network (ANN). A simulation was done using MATLAB/Simulink software to obtain the results.
Volume: 2
Issue: 3
Page: 530-536
Publish at: 2016-06-01

Data analysis for image transmitted using Discrete Wavelet Transform and Vector Quantization compression

10.12928/telkomnika.v14i2.2947
Mustapha; Tahri Mohammed University Khelifi , Abdelmounaim; Tahri Mohammed University Moulay Lakhdar , Iman; Tahri Mohammed University Elawady
In this paper we are going to study the effect of channel noise in image compressed with vector quantization and discrete wavelet transform. The objective of this study is to analyze and understand the way that the noise attack transmitted data by doing lot of tests like dividing the indices in different levels according to discrete wavelet transform and dividing  each level in frames of bits. The collected information well helps us to propose solutions to make the received image more resistible to the channel noise also to benefit from the good representation obtained by using vector quantization and discrete wavelet transform.
Volume: 14
Issue: 2
Page: 523-530
Publish at: 2016-06-01

Adaptive Particle Swarm Algorithm for Parameters Tuning of Fractional Order PID Controller

10.12928/telkomnika.v14i2.2370
Chaobo; Xi'an Technological University Chen , Li; Xi'an Technological University Hu , Lei; Xi'an Technological University Wang , Song; Xi'an Technological University Gao , Changhong; Northwest Institute of Mechanical & Electrical Engineering Li
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexIn order to optimize the parameters of fractional order PID controller of complex system, an adaptive particle swarm optimization (PSO) method is proposed to realize the parameters adjustment. In this algorithm, the tuning particle population is divided into three subgroups firstly, and through introducing the swarm-aggregation degree factor and the evolution speed factor of particle, dynamically adjusting the inertia weight and size of subgroups respectively, setting to find optimal objective according to the time-domain performance index of the system, and then the controller parameter tuning is realized by iterative calculation. Finally, adaptive particle swarm optimization method of fractional order PID controller is applied to integer order and fractional order of the controlled system for performance simulation in time domain analysis. The experimental results show that the proposed method could improve the performance of the control system and has strong anti-interference ability.
Volume: 14
Issue: 2
Page: 478-488
Publish at: 2016-06-01

Design a Optimum MPPT Controller for Solar Energy System

10.11591/ijeecs.v2.i3.pp545-553
F. R. Islam , K. Prakash , K. A. Mamun , A. Lallu , R. Mudliar
Solar energy is compared to be the best potential source of renewable energy in Pacific region. For this reason a photovoltaic cell is needed to harvest this kind of energy, gathering the most of it and the PV having a good efficiency.  The maximum efficiency is achieved when the PV works at its Maximum Power Point which entirely depends on the irradiation and temperature. This paper proposes a new design of hybrid Maximum Power Point Tracking and a comparative study is made with various existing MPPT techniques which include Perturb and Observe method, Incremental Conductance and Fuzzy Logic. From the comprehensive comparison study between existing MPPT technique and the proposed MPPT technique/theory, a hardware setup was demonstrated to verify the proposed design by charge controller in photovoltaic systems to which maximize the output power under various lighting conditions. The design is based on the computed results using the buck-boost DC-DC conveter. From the simulation, the proposed method tends to show better performance with almost no oscillations around the MPP.
Volume: 2
Issue: 3
Page: 545-553
Publish at: 2016-06-01

Low Complexity Sparse Channel Estimation Based on Compressed Sensing

10.12928/telkomnika.v14i2.3147
Fei; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Zhou , Yantao; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Su , Xinyue; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Fan
In wireless communication, channel estimation is a key technology to receive signal precisely. Recently, a new method named compressed sensing (CS) has been proposed to estimate sparse channel, which improves spectrum efficiency greatly. However, it is difficult to realize it due to its high computational complexity. Although the proposed Orthogonal Matching Pursuit (OMP) can reduce the complexity of CS, the efficiency of OMP is still low because only one index is identified per iteration. Therefore, to solve this problem, more efficient schemes are proposed. At first, we apply Generalized Orthogonal Matching Pursuit (GOMP) to channel estimation, which lower computational complexity by selecting multiple indices in each iteration. Then a more effective scheme that selects indices by least squares (LS) method is proposed to significantly reduce the computational complexity, which is a modified method of GOMP. Simulation results and theoretical analysis show the effectivity of the proposed algorithms.
Volume: 14
Issue: 2
Page: 538-547
Publish at: 2016-06-01

Delta-Polygon Autotransformer Based 24-Pulse Rectifier for Switching Mode Power Supply

10.12928/telkomnika.v14i2.2652
Chun-ling; Lanzhou Jiaotong University Hao , Xiao-qiang; Lanzhou Jiaotong University Chen , Hao; Lanzhou Jiaotong University Qiu
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexIn medium and high power capacity switching mode power supply (SMPS), power quality at the AC side is often severely distorted. In this paper, a small magnetic rating delta-polygon autotransformer based 24-pulse rectifier feeding SMPS is designed, constructed, and simulated for harmonic mitigation. Various auto-wound transformers for the 24-pulse AC-DC converter are discussed and compared in terms of magnetic rating and power quality indices, in order that the optimal autotransformer structure can be chosen. The effect of load variation on the proposed 24-pulse rectifier is also analyzed. Moreover, performance of the 6-, 12-, and 18-pulse rectifiers based on delta-polygon autotransformer are studied through comparison. Results demonstrate that the total harmonic distortion of utility current is lower than 6.10% and unity power factor is achieved under varying load. 
Volume: 14
Issue: 2
Page: 431-439
Publish at: 2016-06-01

Features Deletion on Multiple Objects Recognition using Speeded-Up Robust Features, Scale Invariant Feature Transform and Randomized KD-Tree

10.12928/telkomnika.v14i2.3461
Samuel Alvin; Satya Wacana Christian University Hutama , Saptadi; Satya Wacana Christian University Nugroho , Darmawan; Satya Wacana Christian University Utomo
This paper presents a multiple objects recognition method using speeded-up robust features (SURF) and scale invariant feature transform (SIFT) algorithm. Both algorithms are used for finding features by detecting keypoints and extracting descriptors on every object. The randomized KD-Tree algorithm is then used for matching those descriptors. The proposed method is deletion of certain features after an object has been registered and repetition of successful recognition. The method is expected to recognize all of the registered objects which are shown in an image. A series of tests is done in order to understand the characteristic of the recognizable object and the method capability to do the recognition. The test results show the accuracy of the proposed method is 97% using SURF and 88.7% using SIFT.
Volume: 14
Issue: 2
Page: 692-698
Publish at: 2016-06-01

Design of Robust UPFC Based Damping Controller Using Biogeography Based Optimization

10.11591/ijeecs.v2.i3.pp554-565
S.Ali Abbas Al-Mawsawi , Anwer Haider , S.Ahmed Al-gallaf
In this paper a new optimization algorithm, the biogeography based optimization (BBO) is employed to design a robust power oscillation damping (POD) controller using unified power flow controller (UPFC). The controller that is used to damp low frequency oscillation is designed over a wide range of operating points using two different objective functions. The obtained controllers are then verified through time-domain simulation over different loading conditions with different system uncertainties introduced.
Volume: 2
Issue: 3
Page: 554-565
Publish at: 2016-06-01

Application of Artificial Fish Swarm Algorithm in Radial Basis Function Neural Network

10.12928/telkomnika.v14i2.2752
Yuhong; Agricultural University of Hebei Zhou , Jiguang; Hebei Normal University Duan , Limin; Agricultural University of Hebei Shao
Neural network is one of the branches with the most active research, development and application in computational intelligence and machine study. Radial basis function neural network (RBFNN) has achieved some success in more than one application field, especially in pattern recognition and functional approximation. Due to its simple structure, fast training speed and excellent generalization ability, it has been widely used. Artificial fish swarm algorithm (AFSA) is a new swarm intelligent optimization algorithm derived from the study on the preying behavior of fish swarm. This algorithm is not sensitive to the initial value and the parameter selection, but strong in robustness and simple and easy to realize and it also has parallel processing capability and global searching ability. This paper mainly researches the weight and threshold of AFSA in optimizing RBFNN. The simulation experiment proves that AFSA-RBFNN is significantly advantageous in global optimization capability and that it has outstanding global optimization ability and stability.
Volume: 14
Issue: 2
Page: 699-706
Publish at: 2016-06-01

A Combined User-order and Chunk-order Algorithm to Minimize The Average BER for Chunk Allocation in SC-FDMA Systems

10.12928/telkomnika.v14i2.3299
Arfianto; Telecommunication Engineering School of Electrical Engineering Telkom University Bandung Indonesia Fahmi , Rina Pudji; Telecommunication Engineering School of Electrical Engineering Telkom University Bandung Indonesia Astuti , Linda; Telecommunication Engineering School of Electrical Engineering Telkom University Bandung Indonesia Meylani , Muhamad; Electrical Engineering Departement, University of Indonesia, Depok, Indonesia Asvial , Dadang; Electrical Engineering Departement, University of Indonesia, Depok, Indonesia Gunawan
A Chunk by chunk-based allocation is an emerging subcarrier allocation in Single Carrier Frequency Division Multiple Access (SC-FDMA) due to its low complexity. In this paper, a combined user-order  and chunk-order allocation for solving chunk allocation problem which minimizes the average BER of all users while improving the throughput in SC-FDMA uplink is proposed. The subcarrier grouping into a chunk of all users on both-order allocations are performed by averaging the BER of a contiguous subcarriers within a chunk. The sequence of allocation is according to the average of users’ BER on user-order allocation and the average of chunks’ BER on chunk-order allocation. The best allocation is determined by choosing one of both-order allocations which provides the smaller BER systems. The simulation results showed that the proposed algorithm can outperform the previous algorithms in term of  average BER and throughput without increase the time complexity.  
Volume: 14
Issue: 2
Page: 574-587
Publish at: 2016-06-01

Analysis of Distributed Power Flow Controller in Power System Network for Improving Power Flow Control

10.11591/ijeecs.v2.i3.pp510-521
Kuldeep Saini , Aakash Saxena , M.R. Farooqi
In this paper, a new power flow controlling device called Distributed Power Flow Controller (DPFC) is presented that offers the same control capability as the unified power-flow controller (UPFC) but with much lower cost and high reliability. The DPFC eliminates the common DC link within the UPFC, to enable the independent operation of the shunt and the series converter. The D-FACTS concept is employed to the series converter to increase the reliability. Multiple low-rating single-phase converters replace the high-rating three-phase series converter, which significantly reduces the cost and increases the reliability. The active power that is exchanged through the common DC link in the UPFC is now transferred through the transmission line at the 3rd harmonic frequency. The DPFC is modeled in a rotating dq-frame. The modeling and analysis of DPFC in a two area two bus interconnected system is done in MATLAB/Simulink environment and comparison between the DPFC and UPFC considering the power flow and cost are also shown. 
Volume: 2
Issue: 3
Page: 510-521
Publish at: 2016-06-01

State-space Modelling and Digital Controller Design for DC-DC Converter

10.12928/telkomnika.v14i2.3042
Oladimeji; Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bander Seri Iskander, 32610 Perak Ibrahim , Nor Zaihar; Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bander Seri Iskander, 32610 Perak Yahaya , Nordin; Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bander Seri Iskander, 32610 Perak Saad
The recent development in digital technology offers better platform for easy implementation of advance control algorithm in power converter design making digital control a viable alternative to analogue counterpart. Controller design for power converters has been very challenging due to non-linear characteristics of power switches, the supply voltage variability, load current changes and circuit element variation. This paper presents dynamic averaged state-space modelling of non-ideal dc-dc boost converter with parasitic and digital controller design for boost converter using digital redesign and direct digital design methods. The system was simulated in Matlab/Simulink to investigate the dynamic performance of the two controllers’ transient response, control bandwidth and response to variable supply voltage. The results demonstrated fast transient and wide control bandwidth for tight voltage regulation of variable input voltage.
Volume: 14
Issue: 2
Page: 497-506
Publish at: 2016-06-01

Remote Sensing Image Fusion Scheme using Directional Vector in NSCT Domain

10.12928/telkomnika.v14i2.2747
Baohui; Henan Vocational & Technical College of Communications Tian , Lan; Henan Vocational & Technical College of Communications Lan , Hailiang; Zhengzhou University of Light Industry Shi , Yunxia; Zhengzhou University of Light Industry Pei
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexA novel remote sensing image fusion scheme is presented for panchromatic and multispectral images, which is based on NonSubsampled Contourlet Transform (NSCT) and Principal Component Analysis (PCA). The fusion principles of the different subband coefficients obtained by the NSCT decomposition are discussed in detail. A PCA-based weighted average principle is presented for the lowpass subbands, and a selection principle based on the variance of the directional vector is presented for the bandpass directional subbands, in which the directional vector is assembled by the NSCT coefficients of the different directional subbands but the same coordinate. The proposed scheme is tested on two sets of remote sensing images and compared with some traditional multiscale transform-based image fusion methods, such as discrete wavelet transform, stationary wavelet transform, dual-tree complex wavelet transform, contourlet transform. Experimental results demonstrate that the proposed scheme provides superior fused image in terms of several relevant quantitative fusion evaluation indexes.
Volume: 14
Issue: 2
Page: 598-606
Publish at: 2016-06-01

Design of AC Charging Interface and Status Acquisition Circuit for Electric Vehicles

10.12928/telkomnika.v14i2.3676
Kun; Zhoukou Normal University Xu , Li; Zhoukou Senior Technical School Li
To address the unreliable charging of new charging interfaces caused by comprehending deviation on China’s alternating current (AC) charging interface standard for electric vehicles, implementation methods of AC charging interface circuit, control pilot (CP) circuit, and status acquisition circuit for electric vehicles were proposed in this study. Basic principle and functions of the CP circuit were discussed, and influences of resistance parameters on voltage state at test point were analyzed. Freescale MC9S12XEQ512 was used as the main controller, and its integrated pulse-width modulation module and analog-to-digital converter module were used to simplify circuit designs. An experimental test on charging interface connection confirmation, CP, output power parameter passing, and real-time charging connection status acquisition was conducted on real vehicles. Results demonstrated that the designed circuits exhibit high security and meet the basic requirements of GB/T20234-2 with regard to AC charging interface characteristics. All test data are within the allowed error range. Furthermore, real-time monitoring of the charging process and security isolation design of signals can effectively improve the system stability. Hence, this technology can be used in AC charge control of electric vehicles.
Volume: 14
Issue: 2
Page: 449-455
Publish at: 2016-06-01

Fuzzy-based Spectral Alignment for Correcting DNA Sequence from Next Generation Sequencer

10.12928/telkomnika.v14i2.2395
Kana Saputra; Bogor Agricultural University S , Wisnu Ananta; Bogor Agricultural University Kusuma , Agus; Bogor Agricultural University Buono
Next generation sequencing technology is able to generate short read in large numbers and in a relatively short in single running programs. Graph based DNA sequence assembly used to handle these big data in assembly step. The graph based DNA sequence assembly is very sensitive to DNA sequencing error. This problem could be solved by performing an error correction step before the assembly process. This research proposed fuzzy inference system (FIS) model based spectral alignment method which can detect and correct DNA sequencing error. The spectral alignment technique was implemented as a pre-processing step before the DNA sequence assembly process. The evaluation was conducted using Velvet assembler. The number of nodes yielded by the Velvet assembler become a measure of the success of error correction. The results shows that FIS model based spectral alignment created small number of nodes and therefore it successfully corrected the DNA reads.
Volume: 14
Issue: 2
Page: 707-714
Publish at: 2016-06-01
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