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INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN : 20893272     EISSN : -     DOI : -
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 773 Documents
Image Registration Methode in Radar Interferometry S. Chelbi; A. Khireddine
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.200

Abstract

This article presents a methodology for the determination of the registration of an Interferometric Synthetic radar (InSAR) pair images with half pixel precision. Using the two superposed radar images Single Look complexes (SLC) [1-4], we developed an iterative process to superpose these two images according to their correlation coefficient with a high coherence area. This work concerns the exploitation of ERS Tandem pair of radar images SLC of the Algiers area acquired on 03 January and 04 January 1994. The former is taken as a master image and the latter as a slave image.
A New Hybrid Wavelet Neural Network and Interactive Honey Bee Matting Optimization Based on Islanding Detection Nasser Yousefi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.201

Abstract

In this paper a passive Neuro-wavelet on the basis of islanding detection procedure for grid-connected inverter-based distributed generation has been developed. Moreover, the weight parameters of neural network are optimized by Interactive Honey Bee Matting optimization (IHBMO) to increase the efficiency of the capability of suggested procedure in tendered problem. Islanding is the situation where the distribution system including both distributed generator and loads is disconnected from the major grid as a consequence of lots of reasons such as electrical faults and their subsequent switching incidents, equipment failure, or pre-planned switching events like maintenance. The suggested method uses and combines wavelet analysis and artificial neural network together to detect islanding. It can be used in removing discriminative characteristics from the acquired voltage signals. In passive schemes have a large Non Detection Zone (NDZ), concern has been raised on active method because of its lowering power quality impact. The main focus of the proposed scheme is to decrease the NDZ to as close as possible and to retain the output power quality fixed. The simulations results, performed by MATLAB/Simulink, demonstrate that the mentioned procedure has a small non-detection zone. What is more, this method is capable of detecting islanding precisely within the least possible amount of standard time.
Flux Based Sensorless Speed Sensing and Real and Reactive Power Flow Control with Look-up Table based Maximum Power Point Tracking Technique for Grid Connected Doubly Fed Induction Generator D.V.N. Ananth; Venkata Nagesh Kumar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.205

Abstract

This aim of this paper is to design controller for Doubly Fed Induction Generator (DFIG) converters and MPPT for turbine and a sensor-less rotor speed estimation to maintain equilibrium in rotor speed, generator torque, and stator and rotor voltages. It is also aimed to meet desired reference real and reactive power during the turbulences like sudden change in reactive power or voltage with concurrently changing wind speed. The turbine blade angle changes with variations in wind speed and direction of wind flow and improves the coefficient of power extracted from turbine using MPPT. Rotor side converter (RSC) helps to achieve optimal real and reactive power from generator, which keeps rotor to rotate at optimal speed and to vary current flow from rotor and stator terminals. Rotor speed is estimated using stator and rotor flux estimation algorithm. Parameters like tip speed ratio; coefficient of power, stator and rotor voltage, current, real, reactive power; rotor speed and electromagnetic torque are studied using MATLAB simulation. The performance of DFIG is compared when there is in wind speed change only; alter in reactive power and variation in grid voltage individually along with variation in wind speed.
Cost Optimal Design of a Single-Phase Dry Power Transformer Raju Basak; Arabinda Das; Amarnath Sanyal
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.206

Abstract

The Dry type transformers are preferred to their oil-immersed counterparts for various reasons, particularly because their operation is hazardless. The application of dry transformers was limited to small ratings in the earlier days. But now these are being used for considerably higher ratings.  Therefore, their cost-optimal design has gained importance. This paper deals with the design procedure for achieving cost optimal design of a dry type single-phase power transformer of small rating, subject to usual design constraints on efficiency and voltage regulation. The selling cost for the transformer has been taken as the objective function. Only two key variables have been chosen, the turns/volt and the height: width ratio of window, which affects the cost function to high degrees. Other variables have been chosen on the basis of designers’ experience. Copper has been used as conductor material and CRGOS as core material to achieve higher efficiency, lower running cost and compact design. The electrical and magnetic loadings have been kept at their maximum values without violating the design constraints. The optimal solution has been obtained by the method of exhaustive search using nested loops.
Notice of Retraction Improved Rotor Speed Brushless DC Motor using Fuzzy Controller Jafar Mostafapour; Murtaza Farsadi; Ali Badri; Ebrahim Ogabi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 1: March 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v4i1.186

Abstract

Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting ijeei.iaes@gmail.com.-----------------------------------------------------------------------A brushless DC (BLDC) Motors have advantages over brushed, direct current (DC) motors and Induction motor (IM). They have better speed verses torque characteristics, high dynamic response, high efficiency, long operating life, noiseless operation, higher speed ranges, and rugged construction. Also, torque delivered to motor size is higher, making it useful in application where space and weight are critical factors. With these advantages BLDC motors find wide spread application in automotive appliance, aerospace medical, and instrumentation and automation industries This paper can be seen as fuzzy controllers compared to PI control BLDC motor rotor speed has improved significantly and better result can be achieve.
Two Axes Sun Tracking System for Heliostat: Case Study in Algeria Mihoub Sofiane; Ali Chermitti
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 1: March 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.222 KB) | DOI: 10.52549/ijeei.v4i1.187

Abstract

In this paper, using Proteus software, sun tracking system with 2 axes has developped to site of GHARDAIA, in the south of ALGERIA.O2 DC motors have used to move heliostat in N–S and E–W axis polar, in order to tracking the sun path.the distinction between day and night has provided by light dependent resistor (LDR).An algorithm of two axes sun tracking system hab developed and simulated under Proteus software, after DC motor’s parameters have verified and simulated under MATLAB software. The results show that: in the first, the development of the heliostat control requires the knowledge of the position of each heliostat relative to the tower to ensure the proper operation of the motors, and the uniformity of the reflected beam to the target.Then the choice of the drive motors is based on the useful power, including the weight of the heliostat, and all efforts affects on operation of motors in different seasons of the year, like the wind.And The position of the heliostat depends of chopper duty cycle.Finally,Conducting a power tower with mobile heliostats requires a techno-economic study on all components (heliostats, tower...) of the plant, for example weather two motors for each heliostat field.
Development of a Cost Effective Power Generation System: An Overview Shiv Prakash Bihari; Yogita Kumari; Bhupender Sehgal; R.N. Chaubey; Anmol Gupta
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 1: March 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (168.662 KB) | DOI: 10.52549/ijeei.v4i1.194

Abstract

This paper presents an overview on development of cost effective power generation system and motivates for development of a model for hybrid system with wind to investigate the combined operation of wind with different sources to cater to wind’s stochastic nature for imbalance minimization and optimal operation. Development of model for trading power in competitive electricity market and development of strategies for trading in electricity markets (wind energy and reserves markets) to investigate the effects of real time pricing tariffs on electricity market operation has been illustrated in this paper. Dynamic modelling related studies to investigate the wind generator’s kinetic energy for primary frequency support using simulink and simulation studies on doubly fed induction generator to study its capability during small disturbances / fluctuations on power system have been described.
Big Data-Survey P.S.G. Aruna Sri; Anusha M
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 1: March 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (116.86 KB) | DOI: 10.52549/ijeei.v4i1.195

Abstract

Big data is the term for any gathering of information sets, so expensive and complex, that it gets to be hard to process for utilizing customary information handling applications. The difficulties incorporate investigation, catch, duration, inquiry, sharing, stockpiling, Exchange, perception, and protection infringement. To reduce spot business patterns, anticipate diseases, conflict etc., we require bigger data sets when compared with the smaller data sets. Enormous information is hard to work with utilizing most social database administration frameworks and desktop measurements and perception bundles, needing rather enormously parallel programming running on tens, hundreds, or even a large number of servers. In this paper there was an observation on Hadoop architecture, different tools used for big data and its security issues.
Soft Computing Technique and Conventional Controller for Conical Tank Level Control Sudharsana Vijayan; Avinashe K K
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 1: March 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.971 KB) | DOI: 10.52549/ijeei.v4i1.196

Abstract

In many process industries the control of liquid level is mandatory. But the control of nonlinear process is difficult. Many process industries use conical tanks because of its non linear shape contributes better drainage for solid mixtures, slurries and viscous liquids. So, control of conical tank level is a challenging task due to its non-linearity and continually varying cross-section. This is due to relationship between controlled variable level and manipulated variable flow rate, which has a square root relationship. The main objective is to execute the suitable controller for conical tank system to maintain the desired level. System identification of the non-linear process is done using black box modelling and found to be first order plus dead time (FOPDT) model. In this paper it is proposed to obtain the mathematical modelling of a conical tank system and to study the system using block diagram after that soft computing technique like fuzzy and conventional controller is also used for the comparison.
Control of Wind Energy Conversion System and Power Quality Improvement in the Sub Rated Region Using Extremum Seeking C. Ganesh; S. Anupama; M. B. Hemanth Kumar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, No 1: March 2016
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (922.707 KB) | DOI: 10.52549/ijeei.v4i1.197

Abstract

For the purpose of better utilization and to have control over varying wind speeds we use variable speed wind turbines. The performance mainly depends on the system operating point. In this paper we implement extremum seeking (ES) which is a non-model based approach for maximum power extraction in the region between cut-in speed and rated speed. The convergence of the system depends mainly on the system dynamics so we go for non-linear control based on field oriented approach and also feedback linearization. For achieving maximum power at all wind speeds the outer loop of ES is used to tune the turbine speed in the sub rated region. By adjusting the voltage magnitude and electrical frequency through matrix converter we can achieve a fast transient response. The transient response can be improved by providing inner loop control based on field oriented control. Through this we can avoid magnetic saturation in the induction generator

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