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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,199 Documents
 89   90   91   92   93 
Differential Protection for Distributed Micro-Grid Based on Agent ZHOU Bin; YING Li-ming; ZHU Yonggang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The Micro-grid, even though not a replacement of the conventional centralized power transmission grid, plays a very important role in the success of rapid development of renewable energy resources technologies. Due to the facts of decentralization, independence and dynamic of sources within a Micro-grid, a high level automation of protection is a must. Multi-Agent system as a approach to handle distributed system issues has been developed. This paper presents an MAS based differential protection method for distributed micro-grid. The nodes within a micro-grid are divided into primary and backup protection zones. The agents follow predefined rules to take actions to protect the system and isolate the fault when it happens. Furthermore, an algorithm is proposed to achieve high availability in case of Agent itself malfunction. The method is using Matlab for simulation and shows it satisfies relay protection in terms of the selectivity, sensitivity, rapidity and reliability requirements. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2497
Optimization of PV Systems Using Data Mining and Regression Learner MPPT Techniques Adedayo M. Farayola; Ali N Hasan; Ahmed Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1080-1089

Abstract

Supervised machine learning techniques such as artificial neural network (ANN) and ANFIS are powerful tools used to track the maximum power point (MPPT) in photovoltaic systems. However, these offline MPPT techniques still require large and accurate training data sets for successful tracking. This paper presents an innovative use of rational quadratic gaussian process regression (RQGPR) technique to generate the large and very accurate training data required for MPPT task. To confirm the effectiveness of the RQGPR technique, the combination of ANN and RQGPR as ANN-RQGPR technique results were compared with the conventional ANN technique results, and that of combined ANN and linear support vector machine regression as ANN-LSVM technique results under different weather conditions. Results show that ANN-RQGPR technique produced the overall best result and with an improved performance. 
Food Traceability in Supply Chain Based on EPCIS Standard and RFID Technology Evizal Abdul Kadir; Siti Mariyam Shamsuddin; Eko Supriyanto; Wahyudi Sutopo; Sri Listia Rosa
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

The growth of retailer lately very significant especially in food product, selling of food product is not only in conventional market but moreover now is in such mini market, mall, shopping complex, etc. Food traceability is required in supply of food product to make sure items are safe to consume and not in expired date. This paper present on food traceability in supply chain based on Electronic Product Code Information Services (EPCIS), the use of EPCIS standard is refer to Global Standard-1 (GS1) for logistic and supply chain based on Radio Frequency Identification (RFID) Technology. RFID is used for items tagging on food product instead of barcode that currently widely used the advantages of RFID tag compare than barcode make the system is more applicable to used in food traceability. In this case one of food product take into example in supplying which is banana that the process started from farmer until reach to retail house are monitored and recorded by the system. End process of this system is to give services to the consumer of customer based on EPCIS database collected in all the way of process. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6919
An Approach of PFC in BLDC Motor Drives Using BLSEPIC Converter Murugan M; Jeyabharath R; Sarankumar V
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents the analysis and design of on front end bridgeless single-ended primary-inductance converter (BLSEPIC) based power factor rectification, with output voltage regulation and high frequency isolation working in discontinuous conduction mode. The switching loss in VSI is minimized by an electronic commutation of Brushless DC motor (BLDCM) is used to operate in a low-frequency operation. To improve the efficiency, the diode bridge rectifier is replaced with the alternate bridgeless topologies which offers less conduction losses, advised by the international power quality standards, a wide range of speed control is obtained with improved power quality BLDC motor drive is proposed and simulated in MATLAB/SIMULINK. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7404 
Product Spatial Sequence Modeling based on Spatial State Transition Petri net of Behavior Flow Hao Yongtao; Zou Zhaoguo; Lou Diming
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

FBS model proposed three levels of abstraction (function, behavior, structure) and eight design stages used to describe the design. The model becomes the basis of many computer-aided design practices. In this paper, based on FBS model, behavior flow ontology conception is proposed, and the conception can describe the dynamic and continuous of behavior of products more accurately .The behavior flow mechanism extends to structure layer too. Spatial sequence is the exhibition of behavior flow in the structure layer. This paper analyzes the relationship between behavior flow and spatial sequence, and the relationship between spatial sequence and function. A model to express the spatial sequence of behavior flow is proposed, by dividing spatial sequence into two parts, spatial connection relation of product and spatial state transition process. Spatial connection relation is the description of the product composition, expressed by spatial semantic network; the spatial state transition process of behavior flow is the process to realize the function, expressed by spatial state transition Petri net of behavior flow. Spatial sequence of behavior flow of engine is represented by this model as an example. Finally, a conceptual design framework based on behavior flow is proposed as the further research direction. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3310 
Harmonic current classification using hybrid FAM-RBF neural network Shoun Ying Leow; Keem Siah Yap; Shen Yuong Wong
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1551-1558

Abstract

In this paper, the type of customers of electricity in Malaysia is classified into the type of electricity consumers based on the harmonic current data. A hybrid of Fuzzy Adaptive Resonance Theory with Mapping Algorithm (Fuzzy ARTMAP) and Radial Basis Function (RBF) neural network is developed (namely FAM-RBF), and it is used to classify the harmonic current into types of consumers. The result of the proposed neural network is discussed, and compared with other neural networks in this paper. The comparison result shows that the proposed FAM-RBF obtained the best performance result and is a truthful neural network to be used in this application.
Refinery Operations Optimization Research based on Units Processing Characteristics Ming Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The operational stability and continuity are key production characteristics of actual refinery processing units, which plays important role to safe and efficient production. While few literatures have given a sufficient and comprehensive expression of such characteristics. In view of the  problem, this paper discussed  refinery operations optimization based on operational stability and continuity. The production characteristics were described by logic proposition though logic rules and expert experiences, and the optimization problem of refinery operations was formulated as a logic programming model with object of maximizing production profit. Finally, the proposed model was used to optimize operations of a actual refinery. Numerical results illustrate the model’s feasibility and efficiency. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4494
4-Axis CNC Machine Tool for Relief Grinding Sphere Gear Hob Hu Zhanqi; Li Yukun
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

A new 4-axis machine tool, which is used for relief grind of sphere gears hob including spherical hob, elliptic hob and arc surface hob, is developed. The principle of relief machining of spherical hob is introduced first. Transmitting system, numerical system and some key techniques are then introduced. The machine tool can be reconfigured in machining of arc worms and spatial cams beside of machining of spherical hob. Four forms of the machine tool for machining different workpiece are also introduced. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1557
Risk of Transient Stability Using Rotor Trajectory Index as Severity Function Elmotaz Billa Elghali; Marayati Marsadek; Agileswari K. Ramasamy
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp591-601

Abstract

This paper presents a new approach to determine the risk of transient stability. It describes the implementation of rotor trajectory index (RTI) to assess the severity of power systems when it is subjected to a three-phase fault. The (RTI) is proposed as an index used to represent severity of transient instability. Risk of transient stability for three-phase fault is calculated using a well-known risk formula. Risk of transient stability provides a quantitative measure to evaluate the potential loss of synchronism of a generator that takes into account the probability and consequences. RTI index is calculated based on the machines rotor angles obtained at each step of a time domain simulation. RTI is proposed as an index to show the severity of the three-phase fault towards transient stability since it allows a fast and accurate measurement of the degree of stability of the system facing a fault. The proposed technique is implemented on the IEEE 39-bus system.
A Conceptual Model of Role Based Access Control Using Role Mining Algorithm Nazirah Abd Hamid; Rabiah Ahmad; Siti Rahayu Selamat
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1394-1400

Abstract

Numerous studies have shown that currently, role-based access control has becoming one of the successful access control model because of its principle that could simplifies the work of security administrators. However, to construct a concise, role-based access control system, a good role mining algorithm structure is needed therefore the objectives of this paper are firstly, to provide a general overview on phases that involved in designing and developing the algorithm and secondly, to introduce a conceptual model that constructed based on the analysis and this model represents a general process in role mining model. This model involved series of phases that begin with the input of data, pre-processing stage, candidate role generation phase, role selection and role assignment process and lastly number of roles as generated output.

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