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28,593 Article Results

Multi-Area Automatic Generation Control Scheme including Renewable Energy Sources

10.11591/ijeecs.v12.i7.pp5052-5070
Sandeep Bhongade , Barjeev Tyagi , H.O. Gupta
In this paper, a multi-area Automatic Generation Control (AGC) scheme with Renewable Energy Sources (RES) suitable in a restructured interconnected power system has been proposed. Photo-voltaic and wind turbine generating system has been integrated with the grid. The developed scheme has been investigated for frequency control with and without RES units. A PID controller has been used to control the real power output of fossils fuel generators. The parameters of PID controller has been tuned according to Genetic Algorithm (GA) based performance indices. The functioning of proposed scheme has been tested on a 39-bus New England system and on a 75-bus Indian power system network. Frequency regulation market scenario has been considered in both the systems. The results of proposed AGC scheme with and without RES units have been compared.
Volume: 12
Issue: 7
Page: 5052-5070
Publish at: 2014-07-01

Dynamic characteristics analysis of WEDM based on Ansys and LMS

10.11591/ijeecs.v12.i7.pp5037-5043
Jingxing Qi , Changtao Cai , Zhixing Mao , Dongdong Luo
In the operation process,the Wire Electrical Discharge Machine(WEDM) has certain imperfections such as vibration and the descent of machine precision which vibration produces.This paper studies the dynamic parameter of the machine tool and optimizes the natural frequency and vibration.Taking the DK7725 taper machine tool as an example,the paper establishes a 3Dmodel with ProEngineer 5.0.According to the Masataks Yoshimura method,the authors could ascertain the stiffness and damping of joint surfaces among machine main parts and ascertain the equivalent dynamic model. In order to have a modal analysis about the machine tool structure,the virtual dynamic analysis module of ANSYS Workbench Environment(AWE) is used.Through the study of dynamic parameter,the authors optimize and improve the natural frequency and vibration of machine tools, compared with the finite element analysis results and the no-optimization data.And the final results show that the change rates of each order natural frequencies optimized ranges from 0%to18.9%,and the whole mechine’s optimization achieves satisfied effect.
Volume: 12
Issue: 7
Page: 5037-5043
Publish at: 2014-07-01

Design of 3-Bit ADC in 0.18 µm CMOS Process

10.11591/ijeecs.v12.i7.pp5197-5203
Mohammad Marufuzzaman , Syarizal Z. Abidin , Mamun Bin Ibne Reaz , Labonnah Farzana Rahman
Analog-to-digital converters (ADCs) are required to convert the real world analog signals into digital signals, as digital signals are more robust and easier to handle. Signal processing is increasingly being done in the digital domain along with the escalating levels of integration have forced ADC to reside on the same chip as digital circuits. The study describes the design method of 3-bit ADC using CEDEC 0.18 μm CMOS process. The designed ADC consists of; voltage divider, comparator and 7-bit encoder circuits. The pre-simulation has done with ELDO simulator with low power supply voltage (VDD) 1.8 V. The simulated results showed that the designed 3-bit ADC is able to convert analog signals to digital signals.
Volume: 12
Issue: 7
Page: 5197-5203
Publish at: 2014-07-01

A Study of a New Intelligent Key System for Substation

10.11591/ijeecs.v12.i7.pp5629-5635
Dan Chen , Yefei Yue , Hongfen Jiang , Xiaorong Zhao , Liyuan Wang
Aiming at the demand of production management of power system, a new intelligent key system applied to substation is created and established. Based on the operating mode of the system, the paper puts forward the design of intelligent key based on RFID technology. It expounds the hardware of the system, which adopts advanced ARM technology to develop an intelligent key system, combined with RF signal recognition technology, OLED display, data storage, keyboard input and other functions, in order to meet the functional requirements for intelligence. Its software uses the embedded μC/OS-Ⅱto achieve the signal reception of the new intelligent key system. After tested, the key works well. The system is characterized by more portability, large storage capacity, more functions, friendly interface and other noticeable features.
Volume: 12
Issue: 7
Page: 5629-5635
Publish at: 2014-07-01

Red (SrCa)AlSiN3:Eu2+ Nitride Phosphor Particle Size of Phosphor Converted Warm White LEDs

10.11591/ijeecs.v12.i7.pp5211-5216
Peng Hui Yuen , Hsien Shiung Hwang , Mutharasu Devarajan
Red (SrCa)AlSiN3:Eu2+ nitride phosphor with different particle sizes were characterized based on physical and luminescent properties, then packaged into Chip-On-Board (COB) Warm White Light Emitting Diode (LED)  modules to investigate the influence of particle size on packaging parameters and optical  output of the COB LED devices. The phosphor particle sizes investigated were 10µm, 12µm and 14µm, and experimental data indicates that the emission spectrum for the red phosphor with bigger particle size is slightly red-shifted compare with the red phosphor with smaller particle size. Besides that, COB LED modules packaged with smaller red phosphor particle required slightly lesser amounts of phosphor to achieve same value of Correlated Color Temperature (CCT) range from 3500K to 3600K, while enhancing the optical output power. The average lumen output and the average efficacy of COB LED devices packaged with 10µm phosphor had an increment of 5.07% and 9.55% respectively while 12µm phosphor had an increment of 5.14% and 9.79% respectively compared to the 14µm phosphor sample.
Volume: 12
Issue: 7
Page: 5211-5216
Publish at: 2014-07-01

Information Technology Governance Archetype in an Indonesian University

10.11591/ijeecs.v12.i7.pp5636-5644
Riza Afriza Islami , I Made Sukarsa , I Ketut Adi Purnawan
Information Technology (IT) governance is used as a structure and control in alignment of IT functions and business goals. One of ABC University’s business goal is to achieve World Class University in 2021. This paper presents a study in one of IT governance’s component, likely structure of IT decisions right or archetype. It is needed to evaluate right applied archetype to achieve the alignment of business goals on five keys of IT decisions, namely IT principles, IT architecture, IT infrastructure, business application needs, and IT investment. COBIT 4.1 and the research of Weill and Ross (CISR) were used as the framework. The study was conducted by collecting data through observation, questionnaires, and interviews, as well as data analysis based on the existing conditions, and respondents’ perception.The analysis shows that there are still weaknesses in the existing IT governance conditions and archetype, so as it’s advisable the appropriate improvement recommendations. 
Volume: 12
Issue: 7
Page: 5636-5644
Publish at: 2014-07-01

Wind-Induced Vibration Analysis of Overhead Working Truck

10.11591/ijeecs.v12.i7.pp5298-5304
Hongqi Jiang , Shuncai Li , Xianbiao Mao
As to the complicated characteristics of overhead working truck under effects of random dynamic wind, the traditional method is difficult to reflect its dynamic response in real time, in the study; it proposes the random wind induced vibration response analysis method based on the finite element method and pseudo-excitation method. An it regards the vibration of the fluctuating wind load as coherent random vibration under stationary random excitation, and it uses Davenport wind velocity spectrum which does not change with height, the correlation of the wind excitation are considered. It takes the folding type arm overhead working truck as example, the random wind vibration analysis are performed, and it gets the acceleration response spectrum and root mean square the of aerial work platform. The analysis results show that the low-order frequency will cause great vibration of the work platform, and the vertical one third of the root-mean-square of acceleration is below international standards, it has no uncomforted effect on operation workers. 
Volume: 12
Issue: 7
Page: 5298-5304
Publish at: 2014-07-01

An ICVBPNN Algorithm for Time-varying Channel Tracking and Prediction

10.11591/ijeecs.v12.i7.pp5476-5483
Sufang Li , Mingyan Jiang , Dongfeng Yuan
An improved complex-valued back propagation neural network (ICVBPNN) algorithm is proposed in this paper. In allusion to the defect of gradient descent of traditional complex-valued back propagation network (CVBPNN) algorithm, additive momentum has been introduced. It is used for time-varying channel tracking and prediction in wireless communication system and better application results are acquired. Firstly, with the use of the learning ability of the neural network, the tracking training is started based on the obtained channel state information (CSI), thus the nonlinear channel model is constructed. Secondly, the unknown channel state information is predicted using the ICVBPNN trained model. The simulation results demonstrate that the proposed method has less estimated error, and can track the channel more accurately than the traditional CVBPNN and the Kalman Filter algorithm.
Volume: 12
Issue: 7
Page: 5476-5483
Publish at: 2014-07-01

Sketching Expert System for Crime Investigation Purposes

10.11591/ijeecs.v12.i7.pp5655-5660
Bagus Yudistira , I Ketut Gede Darma Putra , Anak Agung Kompyang Oka Sudana
The presence of police sketcher play an important role in making investigation in purpose of making arrestment to fugitive or suspect. The lacking presence of police sketcher is making a lack in investigation process, because lack of information gathered for the further process. This limitation is overcome by developing an expert system using gadget as a helping device to making sketch, with adding sketcher knowledge. Sketching method already been used since long time in process of investigation and effective making the result. The result of expert system on case given showing the system to real object which made sketching reach 85% of accuracy level.
Volume: 12
Issue: 7
Page: 5655-5660
Publish at: 2014-07-01

Study on the Acceptance Test Specification of Grid-connected Micro-grid

10.11591/ijeecs.v12.i7.pp4944-4953
Le Jian , Tao Mao , Yang Zhichun , Liu Yang , Liu Kaipei
According to relevant standards and specifications at home and abroad, the acceptance tests that must be performed to validate whether the grid-connection/splitting process and grid-connection operation of micro-grid meet the relevant technical requirements have been studied in this paper. Combining the technical requirements of the micro-grid, this paper gives the conditions, measuring instruments, general process and acceptance standards of the acceptance tests, and focuses on the designing of acceptance tests of key operation, operation parameters and protection functions of the micro-grid, such as grid-connection/splitting process, power quality during the grid-connection operation and reverse power and short-circuit protection and so on. The relevant test methods, specific steps and acceptance standards are proposed. This paper can provide a good foundation and basis for designing the acceptance tests specification of micro-grid.
Volume: 12
Issue: 7
Page: 4944-4953
Publish at: 2014-07-01

Short-Term Prediction of Wind Power Based on an Improved PSO Neural Network

10.11591/ijeecs.v12.i7.pp4973-4980
Hong Zhang , Guo Zhao , Lixing Chen , Bailiang Liu
Connecting wind power to the power grid has recently become more common. To better manage and use wind power, its strength must be predicted precisely, which is of great safety and economic significance. In this paper, the short-term power prediction of wind power is based on self-adaptive niche particle swarm optimization (NPSO) in a neural net. Improved PSO adopts the rules of classification and elimination of a niche using a self-adaptive nonlinear mutation operator. Compared with the traditional method of maximum gradient, NPSO can skip a local optimal solution and approach the global optimal solution more easily in practice. Compared with the basic PSO, the number of iterations is reduced when the global optimal solution is obtained. The method proposed in this paper is experimentally shown to be capable of efficient prediction and useful for short-term power prediction.
Volume: 12
Issue: 7
Page: 4973-4980
Publish at: 2014-07-01

dsPIC33 Based Control for PV-Grid System with a Buck-Boost MPPT

10.11591/ijeecs.v12.i7.pp5137-5143
Slamet Riyadi
The use of solar energy is very important due to the fossil based energy crisis. Rapid progress in PV technologies has contributed to its applications. There are many PV based power plants built around the world.  Maximum Power Point Trackers (MPPT) take significant role in operating PV modules to produce their maximum power. They are implemented by using choppers to match the load resistance and the PV resistance. Recently, integration between PV modules and grids is more popular due to their advantages. The PV-Grid system can be single stages, two stages or any other types and all of them use PWM (pulse width modulation)  converters as their cores. In this paper, a PV-Grid System using buck-boost chopper as MPPT is analyzed. Power generated by PV modules is transferred to the grid by using an inverter that operated as a controlled current source so the complexity can be reduced. Finally, the dsPIC33 based control scheme for such a PV-Grid System was made as a laboratory scaled-prototype to verify the analysis and simulations.
Volume: 12
Issue: 7
Page: 5137-5143
Publish at: 2014-07-01

Stochastic Synchronization of Neutral-Type Chaotic Markovian Neural Networks with Impulsive Effects

10.11591/ijeecs.v12.i7.pp5430-5437
Cheng-De Zheng , Xixi Lv
This paper studies the globally stochastic synchronization problem for a class of neutral-type chaotic neural networks with Markovian jumping parameters under impulsive perturbations. By virtue of drive-response concept and time-delay feedback control techniques, by using the Lyapunov functional method, Jensen integral inequality, a novel reciprocal convex lemma and the free-weight matrix method, a novel sufficient condition is derived to ensure the asymptotic synchronization of two identical Markovian jumping chaotic delayed neural networks with impulsive perturbation. The proposed results, which do not require the differentiability and monotonicity of the activation functions, can be easily checked via Matlab software. Finally, a numerical example with their simulations is provided to illustrate the effectiveness of the presented synchronization scheme.  
Volume: 12
Issue: 7
Page: 5430-5437
Publish at: 2014-07-01

Detecting Rice Growth Using ALOS Multispectral and Synthetic Aperture Radar

10.11591/ijeecs.v12.i7.pp5613-5620
Bambang Hendro Trisasongko , Dyah Retno Panuju , La Ode Syamsul Iman
Rice monitoring is a substantial to Asian countries, including Indonesia, since most inhabitants consume rice on a daily basis. As field survey requires substantial time and budget, one relies on remotely sensed data, especially taken through spaceborne platform. This research discusses multispectral and linearly polarized Synthetic Aperture Radar (SAR) from Advanced Land Observing Satellite and their applications to observe various rice growth information. It appears that both sensors provided useful rice growth data leading to the possibility on improving rice field information extraction. Classification scheme by means of Random Forest suggested that both data were fairly acceptable for timely monitoring.
Volume: 12
Issue: 7
Page: 5613-5620
Publish at: 2014-07-01

Multi-user Detection Based on Gaussian Sum Particle Filter in Impulsive Noise

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3640
Li Zhihui , xian Jin-Long
In order to improve the performance of multi-user detector, this paper analyses a new algorithm, Gaussian sum particle filter (GSPF). This algorithm approximates the filtering and predictive distributions by weighted Gaussian mixtures and is basically banks of Gaussian particle filters (GPF). Then, GSPF is used in dynamic state space (DSS) models with non-Gaussian noise. The non-Gaussian noise is approximated by Laplace noise and Alpha noise. As a result, GSPF can effectively reduce the bit error rate of the system. The simulation results show that the GSPF has the versatility and super performance in MUD. It proves that the improved algorithm has important value for the research of MUD system. DOI: http://dx.doi.org/10.11591/telkomnika.v12i7.5529
Volume: 12
Issue: 7
Page: 5379-5386
Publish at: 2014-07-01
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