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28,451 Article Results

Effects of the Presence of Distributed Generation on Protection and Operation of Smart Grid Implemented in Iran; Challenges and Solutions

10.11591/ijeecs.v12.i11.pp7595-7602
Hossein Shahinzadeh
Installation of distributed generation (DG) in distribution networks, in addition to the benefits, will also cause drawback and disadvantages which can bring difficulties for grid operator. Thus, prior to installation of DGs, it is essential to have deeply studied about their installation in the network and it is needed to make some changes in traditional network. Implementation of smart grids is one of the main requirements for the proper and efficient operation of DGs. In Iran, Smart grid is also being implemented, but with the development of DGs, electricity distribution companies face new problems related to DGs every day. One of the most important problems is about effects of the DGs on proper operation of protective equipment which is mainly due to radial distribution network. That is because in Iran, despite the implementation of smart grids, distribution networks are designed and implemented radially and airlines with isolated neutral point is usually used in the distribution network. So, in this article, the impacts of distributed generation resources on distribution networks in Iran and Protection and operational problems which may cause in this area are studied and solutions to these problems are provided.
Volume: 12
Issue: 11
Page: 7595-7602
Publish at: 2014-11-01

Optimization of Support Vector Regression using Genetic Algorithm and Particle Swarm Optimization for Rainfall Prediction in Dry Season

10.11591/ijeecs.v12.i11.pp7912-7919
Gita Adhani , Agus Buono , Akhmad Faqih
Support Vector Regression (SVR) is Support Vector Machine (SVM) is used for regression case. Regression method is one of prediction season method has been commonly used. SVR process requires kernel functions to transform the non-linear inputs into a high dimensional feature space. This research was conducted to predict rainfall in the dry season at 15 weather stations in Indramayu district. The basic method used in this study was Support Vector Regression (SVR) optimized by a hybrid algorithm GAPSO (Genetic Algorithm and Particle Swarm Optimization). SVR models created using Radial Basis Function (RBF) kernel. This hybrid technique incorporates concepts from GA and PSO and creates individuals new generation not only by crossover and mutation operation in GA, but also through the process of PSO. Predictors used were Indian Ocean Dipole (IOD) and NINO3.4 Sea Surface Temperature Anomaly (SSTA) data. This research obtained an SVR model with the highest correlation coefficient of 0.87 and NRMSE error value of 11.53 at Bulak station. Cikedung station has the lowest NMRSE error value of 0.78 and the correlation coefficient of 9.01.
Volume: 12
Issue: 11
Page: 7912-7919
Publish at: 2014-11-01

Model for Alliance Partners Selection Based on the Grey Model and DEA Application-Case by Vietnamese Bank Industry

10.11591/ijeecs.v12.i11.pp7906-7911
Thanh Van Phan , Nan Chia Wang
Facing the operational inefficiency situation during a long time, the sharply blooming of small domestically banks and the banking bad debt situation increase year by year, all elements have reduced their competiveness. Therefore, how enhancing their competitiveness? This study based on the Grey forecasting modeling (GM) and Data Envelopment Analysis (DEA) as foundation proposes an effective approach for helping manager find out the best partner when formed alliance. Realistic data of 21 banks were collected from the Vietnam stock exchange, the state bank of Vietnam and their official website, the empirical study indicates that there are 6 the best combinations in the total of 210 virtual alliances. These results are good sound for helping organization to select the best candidates when implementing alliance. This issue can be extended and applied in many fields by considering lots of different factors in the future.
Volume: 12
Issue: 11
Page: 7906-7911
Publish at: 2014-11-01

A SIR Mathematical Model of Dengue Transmission and its Simulation

10.11591/ijeecs.v12.i11.pp7920-7926
Asmaidi Asmaidi , Paian Sianturi , Endar Hasafah Nugrahani
The Mathematical model that was developed is a SIR model human-mosquito-mosquito eggs, the rate of displacement of latent mosquitoes become infected mosquito was assumed constant and non-infected eggs were produced by infected mosquitoes and susceptible mosquitoes, while infected eggs were produced by infected mosquitoes. In addition, the temperature factor used in producing susceptible mosquitoes and infected mosquitoes from eggs. The analysis shows two equilibrium state, disease-free equilibrium and endemic equilibrium. The simulation was conducted to show dynamic population where Ro<1 and Ro>1. The result shows the disease-free equilibrium which is stable when Ro<1 and the endemic equilibrium which is stable when Ro>1. This also shows mosquito mortality rate towards the desease in population. If mosquito mortality rate is increased, the basic reproduction number is decreasing, so it can prevent spread in population.
Volume: 12
Issue: 11
Page: 7920-7926
Publish at: 2014-11-01

Design of Adaptive Filter for Laser Gyro

10.11591/ijeecs.v12.i11.pp7816-7823
Xiao Jun Yan , Jin Ming Li , Ze Ming Li , Yan Jiao Yang , Cheng Rui Zhai
According to the filtering of laser gyro output signal of low precision, slow speed of dynamic response, the research and implementation of a new method of laser gyro filtering process, the scheme using LMS adaptive filtering algorithm, the dither feedback signal as the iterative filter data input, the dither signal, random noise, white noise as the reference signal filter, digital filter and the external control using FPGA, give the filter algorithm and hardware block diagram. Experimental results show that the filtering module with filter with high precision and wide dynamic response range, can meet the requirements of speed and precision of laser gyro demodulation aerospace fields.
Volume: 12
Issue: 11
Page: 7816-7823
Publish at: 2014-11-01

Fuzzy Sliding Mode Control for DFIG-based Wind Energy Conversion Optimization

10.11591/ijeecs.v12.i11.pp7549-7557
Han Yaozhen , Liu Xiangjie
This study proposes a fuzzy sliding mode control strategy to realize wind energy conversion optimization based on doubly-fed induction generator (DFIG). Its operational points in partial load zone can be electronically controlled. Chattering in wind energy conversion sliding mode control system is greatly alleviated based on fuzzy switching gain adjustment. The purposes including the maximum power point tracking, decoupling control of active and reactive power of fed induction generation system are fulfilled. Fitful and random wind speeds are mathematical modeled.  Simulation results verified  effectiveness and feasibility of  the proposed control strategy  under the two types of wind speed and indicate that the whole control system has better robustness against uncertainties and can guarantee the power quality.
Volume: 12
Issue: 11
Page: 7549-7557
Publish at: 2014-11-01

The Influence of Aspect Ratio and Orientation to Scattering Properties of Ellipsoid Ice Particles

10.11591/ijeecs.v12.i11.pp7543-7548
Jinhu Wang , Junxiang Ge , Ming Wei
The influence of aspect ratio and orientation to scattering properties of ellipsoid ice particles at 94GHz is studied by Discrete-Dipole Approximation (DDA) method. Absorption efficiency, scattering efficiency, asymmetry factor and backscattering efficiency are computed with aspect ratios vary from 0.2 to 1.0, whose size parameter range are selected from 0 to 5. It is found that the values of scattering properties are increasing if the particle size increases, but if the size is larger than the limit value, oscillation occur, and the oscillation phenomenon will be smoothed by random orientation compared with that of horizontal orientation because scattering properties computed by random orientation method have more average frequency than that of horizontal orientation. In non-oscillating region, the scattering efficiency is larger than the absorption efficiency due to small imaginary part of the complex refractive of ice at 94 GHz, and scattering properties increase if the aspect ratio increases with the same size parameter but this feature is apparent only in the case of horizontal orientation. The asymmetric degree of forward scattering and backscattering increases when particle size increases when size parameter of particle is not exceeding 1.5.
Volume: 12
Issue: 11
Page: 7543-7548
Publish at: 2014-11-01

Perspective and Challenge of Tidal Power in Bangladesh

10.11591/ijeecs.v12.i11.pp7558-7563
Md. Alamgir Hossain , Md. Zakir Hossain , Md. Mijanur Rahman , Md. Atiqur Rahman
Tidal power can play a vital role in integrating as new source of renewable energy to the off-grid power connection in isolated areas, namely Sandwip, in Bangladesh. It can reduce the present energy crisis and improve the social, environmental and economical perspective of Bangladesh. Tidal energy is becoming popular around the world due to its own facilities. The development of any country largely depends on energy sector improvement. Lack of energy sector is because hampering of progress of any country development and energy sector will be stable by only depend on sustainable energy sources. Renewable energy is the only sustainable solution of secure energy which is environmental friendly. Bangladesh has a huge potential of tidal power at different locations but effective measure on this issue have not been considered sincerely. This paper summarizes the current energy scenario and Bangladesh can produce power approximately 53.19MW across the country to reduce the growing energy demand utilizing tidal energy as well as it is shown that Sandwip has high potential of producing tidal power which is approximately 16.49MW by investing only US $10.37 millions. Besides this, cost management for tidal power plant also has been discussed.
Volume: 12
Issue: 11
Page: 7558-7563
Publish at: 2014-11-01

Direct Radio Frequency Sampling System on Software-defined Radio

10.11591/ijeecs.v12.i11.pp7824-7831
Luo Junyi , Lei Lin , Chen Eryang , Zhao Yongxin
A traditional assumption underlying most data converters is that the signal should be sampled at a rate exceeding twice the highest frequency. In this paper, we employ a method for low-rate sampling of multi- band signals via applying periodic nonuniform sampling in shift-invariant spaces generated by m kernels with period T. So, the sampling and reconstruction of signals were transformed into matrix and vector operations, the generalized inverse can be use to find the answer and an interpolator is used to insure that complete reconstruction will be achieved. Finally, we validate the method in MATLAB; the conclusion of simulation shows the frame-work presented here is feasible.
Volume: 12
Issue: 11
Page: 7824-7831
Publish at: 2014-11-01

PTS Method with Combined Partitioning Schemes for Improved PAPR Reduction in OFDM System

10.11591/ijeecs.v12.i11.pp7845-7853
Zeyid T. Ibraheem , Md. Mijanur Rahman , S. N. Yaakob , Mohammad Shahrazel Razalli , F Salman , Kawakib K. Ahmed
Although orthogonal frequency division multiplexing (OFDM) is an efficient wireless transmission system, it suffers from a crucial drawback namely high peak-to-average power ratio (PAPR) that limits transmitter power efficiency. Thus, different PAPR reduction algorithms have been introduced. Partial transmit sequence (PTS) is the most attractive solution which can provide good PAPR reduction performance without distortion. In any PTS system, partitioning of the OFDM frame into disjoint sub-blocks is a significant step. Out of the existing partitioning techniques, adjacent partitioning (AP) is a fairly simple partitioning scheme achieving efficient PAPR reduction performance. This paper presents an enhanced PTS approach that combines two PTS partitioning schemes, adjacent and interleaved partitioning, in order to effectively reduce the PAPR of OFDM systems. With an aim of determining the effects of length variability of adjacent partitions, we performed an investigation into the performances of a variable length adjacent partitioning (VL-AP) and fixed length adjacent partitioning in comparison with the enhanced PTS scheme.
Volume: 12
Issue: 11
Page: 7845-7853
Publish at: 2014-11-01

Trajectory Tracking of AR.Drone Quadrotor Using Fuzzy Logic Controller

10.12928/telkomnika.v12i4.368
Agung; University of Surabaya Prayitno , Veronica; University of Surabaya Indrawati , Gabriel; University of Surabaya Utomo
In this paper, Fuzzy Logic Controller (FLC) is implemented in the AR.Drone quadrotor in order to make it follow a given trajectory reference. The distance between the position and angle of the AR.Drone to the reference point is used as the input of FLC. As for the output, pitch value and yaw rate will be the controlling signal for the AR.Drone. The navigation data of the AR.Drone are forward speed (vx), sideward speed (vy), and yaw. These navigation data are going to be used to estimate positions and orientation of the AR.Drone. To compensate the y-position drift, the value of vyis also use as a criterion to determine the roll compensation. The FLC algorithm is implemented to AR.Drone 2.0 Elite Edition using LabVIEW software. Also, the algorithm has been tested in various trajectories such as straight line, a straight line with a perpendicular turn, a rectangular trajectory, and a curved trajectory. The results have shown that AR.Drone can follow a given trajectory with various initial position and orientation quite well.
Volume: 12
Issue: 4
Page: 819-828
Publish at: 2014-11-01

Research on Application of Sintering Basicity of Based on Various Intelligent Algorithms

10.11591/ijeecs.v12.i11.pp7728-7737
Song Qiang , Zhang Hai-Feng
Prediction of alkalinity in sintering process is difficult. Whether the level of the alkalinity of sintering process is successful or not is directly related to the quality of sinter. There is no good method, prediction of alkalinity by high complexity, the present nonlinear, strong coupling, high time delay, so the recent new technology, grey least square support vector machine have been introduced. In this paper, The weight of evaluation objectives has not given the corresponding consideration when solving the correlation degree by taking traditional grey relation analysis and it is with a lot of subjective factors, easily lead to mistakes in decision-making on program. What is more,a kind of alkaline grey support vector machine model, enables us to develop new formulations and algorithms to predict the alkalinity. In the model,
Volume: 12
Issue: 11
Page: 7728-7737
Publish at: 2014-11-01

Optimization Research of the OLAP Query Technology Based on P2P

10.12928/telkomnika.v12i4.436
Chunfeng; Yancheng Institute of Technology Wang
With the increasing data of the application system, the fast and efficient access to the information of support decision-making analysis has become more and more difficult and the original OLAP technology have also revealed many shortcomings. Using the method of P2P network technology and OLAP storage query and query method, the paper has constructed a distributed P2P-OLAP network model and put forward the storage and sharing scheme of multidimensional data, OLAP query scheme based on collaboration support. Finally, the paper has shown that the scheme can effectively improve the performance of decision analysis by the experiment.
Volume: 12
Issue: 4
Page: 1039-1044
Publish at: 2014-11-01

Winner-Takes-All based Multi-Strategy Learning for Information Extraction

10.11591/ijeecs.v12.i11.pp7935-7945
Dwi Hendratmo Widyantoro , Kurnia Muludi , Kuspriyanto Kuspriyanto
This paper proposes a winner-takes-all based multi-strategy learning for information extraction. Unlike the majority of multi-strategy approaches that commonly combine the prediction of all base learnings involved, our approach takes a different strategy by employing only the best, single predictor for a specific information task. The best predictor (among other predictors) is identified during training phase using k-fold cross validation, which is then retrained on the full training set. Empirical evaluation on two benchmarks data sets demonstrates the effectiveness of our strategy. Out of 26 information extraction cases, our strategy outperforms other information extraction algorithms and strategies in 16 cases. The winner-takes-all strategy in general eliminates the difficult situation in multi-strategy learning when the majority of base learners cannot make correct prediction, resulting in incorrect prediction on its output. In such a case, the best predictor with correct prediction  in our strategy will take over for the overal prediction.
Volume: 12
Issue: 11
Page: 7935-7945
Publish at: 2014-11-01

Solving Method of H-infinity Model Matching Based on the Theory of the Model Reduction

10.11591/ijeecs.v12.i11.pp7716-7720
Li Linzhi , Cao Xinjun
People used to solve high-order  model matching based on  control theory, it is too difficult. In this paper, we use model reduction theory to solve high-order  model matching problem, A new method to solve  model matching problem based on the theory of the model reduction is proposed． The simulation results show that the method has better applicability and can get the expected performance．
Volume: 12
Issue: 11
Page: 7716-7720
Publish at: 2014-11-01
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