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Bulletin of Electrical Engineering and Informatics
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Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global world. The journal publishes original papers in the field of electrical (power), electronics, instrumentation & control, telecommunication and computer engineering; computer science; information technology and informatics. Authors must strictly follow the guide for authors. Please read these instructions carefully and follow them strictly. In this way you will help ensure that the review and publication of your paper is as efficient and quick as possible. The editors reserve the right to reject manuscripts that are not in accordance with these instructions.
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Articles 539 Documents
Control of Power and Voltage of Solar Grid Connected Boucetta Abd Allah; Labed Djamel
Bulletin of Electrical Engineering and Informatics Vol 5, No 1: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.483 KB) | DOI: 10.11591/eei.v5i1.519

Abstract

Renewable energy is high on international agendas. Currently, grid-connected photovoltaic systems are a popular technology to convert solar energy into electricity. Control of power injected into the grid, maximum power point, high efficiency, and low total harmonic distortion of the currents injected into the grid are the requirements for inverter connection into the grid. Consequently, the performance of the inverters connected to the grid depends largely on the control strategy applied. In this paper the simulation and design of grid connected three phase photovoltaic system using Matlab/Simulink has examined. The proposed system consists photovoltaic panels, boost and inverter the PV system convert the sun irradiation into direct current, thereafter we have used a boost to track the maximum power point of the PV system, three-phase inverter and LC output filter. A VOC control strategy based on the phase shifting of the inverter output voltage with respect to the grid voltage. The proposed control strategy requires few hardware and computational resources. As a result, the inverter implementation is simple, and it becomes an attractive solution for low power grid connected applications.
Design and Development of an Automated Multi Axis Solar Tracker Using PLC Santhosh Krishna Venkata; J S Rajshekar
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.601 KB) | DOI: 10.11591/eei.v2i3.205

Abstract

Design of a two dimensional automated solar tracking system is discussed in this paper. The objectives of the proposed work are to design an automated tracking technique using Light Dependent Resistance (LDR), and solar panel power output to position the solar panel to absorb maximum energy. For positioning the solar panel two stepper motors are used, each for positioning in a plane. These stepper motors were driven by a Programmable Logic Controller (PLC).  The controller is designed using wonderware software considering the inputs from LDR Sensor and solar panel output to drive the stepper motor connected to solar panels. Then the whole program is implemented with the help of PLC. The system was tested on a real time and results showed the proposed technique had improved the efficiency of solar panel by an amount of 25%.
Neural Network Model of Estimation of Body Mass Index Based on Indirect Input Factors Seyed Hosein Hoseini; Meisam Pourahmadi-Nakhli; Ali Soltani
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.27 KB) | DOI: 10.11591/eei.v2i3.207

Abstract

A well-prepared One of the main concerns of people in developing and developed societies is increasing the Body Mass Index (BMI) level. BMI, in fact can be considered as an indicator of overall health condition. Genetic aspects aside, the BMI level is affected by different factors, such as socio-economic, environmental, and physical activity level. This study investigated the effect of different factors on the BMI level of a sample population of 470 adults of three residential neighborhoods in Shiraz, Iran. The Pearson correlation coefficient, independent sample T-test and One Way ANOVA were used to extract the variables which significantly influenced the BMI. The statistical analysis showed that despite the apparent association of BMI with physical activity level, it is influenced by several factors such as age, residence record, number of children, distance to bus or taxi stop, indoor or sport exercise. Then, an Artificial Neural Network (ANN) was applied to predict the level of personal BMI. Artificial Neural Network-based methodology results showed that the generalized estimating ANN model was satisfactory in estimating the BMI based on the introduced pattern.
Prediction of Lead-Acid Battery Performance Parameter: An Neural Network Approach E. Jensimiriam; P. Seenichamy; S. Ambalavanan
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.825 KB) | DOI: 10.11591/eei.v2i1.263

Abstract

In real-time applications life of lead-acid battery are affected by many factors such as state of charge, rate of charging /discharging, temperature and aging. If these factors of battery are frequently encountered thought-out the lifecycle, battery performance degradation is identified. Hence, in this communication a valve regulated lead-acid batteries (VRLA) electrical behavior are  modeled using MATLAB/SIMULINK and the performance parameters related to the  battery such as  internal resistance (R), state of charge (SOC), and capacity under various operating conditions are predicted using artificial neural network (ANN). The relevant simulation results are compared with experimental results. A validation result shows that this model can accurately simulate the dynamic behavior of the lead-acid battery for any different experimental data sets. This paper describes initial feasibility studies as well as current models and makes comparisons between predicted and actual performance.
Stability in Time-Delay Systems: Quiet Standing Case Study Fitri Yakub; Akira Kojima; Yasuchika Mori
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.339 KB) | DOI: 10.11591/eei.v2i1.264

Abstract

The analysis of linear time-delay systems has attracted much interest in the literature over last five decade. Two types of stability conditions, namely delay-independent which results guarantee stability for arbitrarily large delays and delay-dependent, results take into account the maximum delay that can be tolerated by the system and, thus, are more useful in applications. The stability in general for linear time-delay systems, can be checked exactly only by eigenvalue considerations. When reasonable chosen with intentional delays, case study effects on time-delay of ankle torque on the stability of quiet standing, it can be used to stabilize and improve the close-loop response of these systems.
Predictions on the Development Dimensions of Provincial Tourism Discipline Based on the Artificial Neural Network BP Model Yang Yang; Jun Hu; Mu Zhang
Bulletin of Electrical Engineering and Informatics Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (126.046 KB) | DOI: 10.11591/eei.v3i2.265

Abstract

As the tourism industry has gradually become the strategic mainstay industry of the national economy, the scope of the tourism discipline has developed rigorously. This paper makes a predictive study on the development of the scope of Guangdong provincial tourism discipline based on the artificial neural network BP model in order to find out how the branch of tourism studies can better adapt to the development of the tourism industry. The research findings indicate that the BP model can be applied to the predictions of the scope of the tourism discipline and provide a quantitative basis for decision making with regard to the spatial layout and optimal allocation of the tourism discipline.
Harmonic Reduction in Variable Frequency Drives Using Active Power Filter M. Tamilvani; K. Nithya; M. Srinivasan; S.U Prabha
Bulletin of Electrical Engineering and Informatics Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.411 KB) | DOI: 10.11591/eei.v3i2.270

Abstract

In this paper Voltage Source Inverter (VSI) is used to supply a variable frequency variable voltage to a three phase induction motor drive in a variable speed application. One important complication is that, Voltage Source Inverter (VSI) used in VFD causes non-sinusoidal output voltage and current due to presence of harmonics. Shunt active filter with VSI topology is proposed for current harmonic elimination. The current control scheme proposed for SAPF is Synchronous Reference Frame theory applied to SVPWM. The reference current can be calculated by using Reference Frame Transformation, reference current are transformed from a−b−c stationary frame to d−q rotating frame. In SVPWM technique, the Active Power Filter reference voltage is generated and desired Active Power Filter output voltage is generated by SVPWM. The analysis of simulation results are carried out in MATLAB/SIMULINK model.
Review of Leaf Unhealthy Region Detection Using Image Processing Techniques S. A. Dhole; Rukaiyya Pyarelal Shaikh
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.287 KB) | DOI: 10.11591/eei.v5i4.498

Abstract

Abstract- In agricultural  field the plants comes to an attack from the various pets bacterial and micro-organism diseases. This diseases  attacks on the plant leaves, steams, and fruit part. This present review paper discussed the image processing techniques which is used in performing the early detection of plant diseases through leaf feature inspection. the basic objective of this work is to develop image analysis and classification techniques for extraction and finally classified the diseases present on leaf. Image of leaf is captured  and the process is performed and to determine the status of each plant. Here proposed model  divide into four parts. The  image preprocessing including normalization and contrast adjustment; segment the region of interest  determine by using color transform YCbCr and bi-level thresholding for statistical usage to determine the defect and severity area of plant leaves. The texture feature extraction using statistical GLCM (Gray Level Co-occurrences Matrix)  and color feature by means values.[1] Finally classification achieved using random markov model.
A Survey on Maximum Power Point Tracking Methods in Photovoltaic Power Systems Sobhan Dorahaki
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.019 KB) | DOI: 10.11591/eei.v4i3.499

Abstract

One of the most important issues associated with photovoltaic systems is receiving maximum power and tracking maximum power point. Hence, researchers have proposed numerous methods in recent years. The first step toward selecting a useful method is recognizing algorithms, methodology and advantages of each method. In this study MPPT methods are deeply investigated. For this purpose, first off, equations governing photovoltaic systems are explicated. Then, nonlinear behavior of photovoltaic cells is demonstrated by simulation. Finally, different methods of MPPT and their advantages are mentioned.
Multi-stage Fuzzy Power System Stabilizer based on Modified Shuffled Frog Leaping Algorithm Nasser Yousefi
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.717 KB) | DOI: 10.11591/eei.v4i3.500

Abstract

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller for damping Power System Stabilizer (PSS) in multi-machine environment using Modified Shuffled Frog Leaping (MSFL) algorithm. The proposed technique is a new meta-heuristic algorithm which is inspired by mating procedure of the honey bee. Actually, the mentioned algorithm is used recently in power systems which demonstrate the good reflex of this algorithm. Also, finding the parameters of PID controller in power system has direct effect for damping oscillation. Hence, to reduce the design effort and find a better fuzzy system control, the parameters of proposed controller is obtained by MSFL that leads to design controller with simple structure that is easy to implement. The effectiveness of the proposed technique is applied to Single machine connected to Infinite Bus (SMIB) and IEEE 3-9 bus power system. The proposed technique is compared with other techniques through ITAE and FD.