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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
 134   135   136   137   138 
Dynamic Stability Analysis of Generator with Power System Stabilizers Using Matlab Simulink Marizan Sulaiman; Hayfaa Mohammed Hussein; Rosli Omar; Zulhisyam Salleh
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i3.pp501-509

Abstract

 The dynamics in single machine been connected to an infinite power system bus is analyzed in this paper. This analysis requires certain amount of system modeling level. The main components of the system models are excitation system, synchronous machine and the Power System Stabilizer. The Simulink /Matlab are used as the programming tool for analyzing this system performance. Design optimization arobust PSS based on Genetic Algorithm (GA) approach has been improvement. A proper design is required for this Power System Stabilizer (PSS) performance using the Particle Swarm Optimization (PSO) to archieve this. Then the implemented of the model and response of the dynamic system is been analyzed. The designed without PSS showed an unacceptable system response since as shown in the simulation results, system response with PSS proven to have improvements and PSS succeeding in  stabilizing an unstable system. Therefore this leads to stability of the performance of the generator.
Decreasing Dissemination of Disturbances within Network Systems by Neural Networks Olga V. Fridman; Alexander Ya. Fridman
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

We apply neural networks to locate initial sources of disturbances in network systems during coordinating them by a gradient coordination technique based on the earlier proposed necessary and sufficient coordinability conditions for locally organized hierarchies of dynamic systems. Thus we restrict spread of disturbances and save resources spent for maintaining of the system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2903
Study on Fundamental Principles and Methodologies of Distribution Network Reconfiguration Feng Xiaoke; Shen Weiwei; Dong Chunyu; Zeng Jianliang; Shi Jidong; Wang Dongju
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Distribution network reconfiguration is not only of great use in controlling and improving power distribution system’s operation environment, but also an essential part of the distribution management system. Thus the research on fundamental principles and methodologies of distribution network reconfiguration is very important and meaningful. This article has suggested the principles of distribution network reconfiguration under circumstances of normal operation and service restoration after faults, and one step further focused on typical algorithms applied in the area including optimal power flow algorithm, branch exchange algorithm, simulated annealing algorithm, artificial neural network algorithm, genetic algorithm and tabu search algorithm. Based on specific comparison and analysis, this article summarized characters of different methodologies and pointed out that alterations still have to be made to derive better solution. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4564
Node-based Sampling P2P Bot Detection Chunyong Yin; Ruxia Sun; Lei Yang; Darius Iko
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

The concept of using node-based sampling for the treatment of packet capture mechanism based on Libpcap of network-based detecting Peer-to-Peer botnet process was tested, and its effect on the time window of feature extracting and sampling time interval was explored. Node-based sampling treatment resulted in significant increase in the detection performance due to node profile of the novel behaviors to the detected computer in Peer-to-Peer bot detection, and the degradation of false positive. At relatively right time window (e.g., about 180s), precision was completely maximized, while the false positive decreased by 10% to 15%. The detection rate can be significantly increased due to the false positive degradation. A new performance index called Comprehensive Evaluation Index is proposed for more clearly represent the effectiveness. Sampling can reduce morn than 60% input raw packet traces and achieve a high detection rate (about 99%) and a low false positive rates (0-2%). DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1272
A Range Based Localization Error Minimization Technique for Wireless Sensor Network Sudha H. Thimmaiah; Mahadevan G
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp395-403

Abstract

Wireless sensor network (WSN) is composed of low cost, tiny sensor that communicates with each other and transmit sensory data to its base station/sink. The sensor network has been adopted by various industries and organization for their ease of use and is considered to be the most sorted future paradigm. The sensor devices are remotely deployed and powered by batteries. Preserving the energy of sensor devices is most desired. To preserve the battery efficient routing technique is needed. Most routing technique required prior knowledge of sensor nodes location in order to provide energy efficiency. Many existing technique have been proposed in recent time to determine the position of sensor nodes. The existing technique proposed so for suffers in estimating the likelihood of localization error. Reducing the error in localization is most desired. This work present a (Time-of-Arrival) based localization technique and also present adaptive information estimation model to reduce/approximate the localization error in wireless sensor network. The author compares our proposed localization model with existing protocol and analyses its efficiency.
Analysis of Different M-Band Wavelet Filters for Face Recognition using Nearest Neighbor Classifier C Hemalatha; E Logashanmugam
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp824-831

Abstract

Face recognition system is one of the most interesting studied topics in computer vision for past two decades. Among the other popular biometrics such as the retina, fingerprint, and iris recognition systems, the face recognition is capable of recognizing the uncooperative samples in a non-intrusive manner. Also, it can be applied to many applications of surveillance security, forensics, border control, digital entertainment where face recognition is used in most. In the proposed system an automatic face recognition system is discussed. The proposed recognition system is based on the Dual-Tree M-Band Wavelet Transform (DTMBWT) transform algorithm and features obtained by varying the different filter in the DTMBWT transform. Then the different filter features are classified by means of the K-Nearest Neighbor (KNN) classifier for recognizing the face correctly. The implementation of the system is done by using the ORL face image database, and the performance metrics are calculated.
A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings Khairul Rijal Wagiman; Mohd Noor Abdullah; Mohammad Yusri Hassan; Nur Hanis Mohammad Radzi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp208-215

Abstract

Artificial lighting consumed significant amount of electrical energy in commercial buildings. Therefore, intelligent control strategies are widely implemented to reduce the lighting energy consumption. This paper presents comprehensive review of the current sensing-based strategies (i.e. occupancy, daylight and mixed), sensors placement methods (i.e. occupancy and light) and factors affecting the performance of the lighting control strategies. Based on literature survey, the sensors placement methods can be categorized into three approaches: fixed, mathematical equation and optimization. The state-of-the-art of these approaches are discusses in details. It found that, the optimization-based approach capable to find the optimal sensor placement (numbers and positions) effectively. Moreover, the mixed strategy can be produced the highest energy savings up to 95% compared with other strategies. The occupancy pattern and building characteristics are the main factors to contribute higher energy savings of sensing-based strategies in commercial buildings.  
Realization of Direct Current System Insulation Monitoring Device Based on Fault Amplifying Method Zhou Jun; Yang Sheng-qiang; Zhu Bo-nan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i6.pp4485-4490

Abstract

This paper has analyzed the existing direct current (DC) system insulation monitoring methods. In view of poor anti-jamming and low sensitivity of existing methods, a new insulation monitoring device is designed based on Fault amplifying method. Under the condition of ensuring system security, the device detection resistors are put into the system by control switches, data is collected by the sensors and set to host computer by CAN bus. At last, the host determines insulation condition of the system by calculating the insulation resistances. This paper has introduced the main test circuit and program flow chart. It is verified by experiments and field operation that the device which is perfectly suitable for online DC insulation monitoring of power plants and transformers can monitor the insulation condition of system accurately and the sensitivity is high. DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.5486
Fast and Accurate Motion Control Based on Good Gain Method GAO Qingji; LI Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

There are some drawbacks exist in multi-method intelligence control algorithms which are popular researched in motion control. Many of the most significant ones are high algorithm complexity, long time-consuming and not easily applied in industrial production. According to the disadvantages mentioned above, and also take the conflicts between control accuracy and response speed into consideration, a “Good Gain” PID tuning method is studied on motion control. Firstly this PID tuning method is described and the processes of finding proper PID gains by analyzing the outputs of PID controller are designed. Secondly the method is simulated on a DC motor model and finally acquires a proper balance between response speed and control accuracy. Finally the method is tested on real DC motor and control devices. After software simulation and real experiments, the effectiveness of this PID tuning method is proved. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2191
Improved Field-Oriented Control for PWM Multi-level inverter-Fed Induction Motor Drives Daniel Legrand Mon Nzongo; Emilienne Leugoue; Jianhua Zhang; Gabriel Ekemb
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp481-492

Abstract

This paper proposes a new approach to ensure the torque decoupled to the rotor flux of an induction machine based on the Field Oriented Control (FOC). The suggested method consists of inserting into the conventional d-q synchronous current controller, coupling terms of motor and multi-level inverter models. Making, the dynamic response of stator current components decoupled as well as the rotor flux and torque. In this paper, the mathematic model of an induction motor and multi-level inverter are first derived. Then, the synchronous current controller and modulation strategy for high power inverters are investigated. Finally, the validation through implementation and simulation of a 4.16 kV electric drive with MATLAB/Simulink and SimPowerSystems is performed.  The model simulated in this paper includes an induction motor, nine-level cascaded H-bridge inverter and a carrier based space vector pulse-width-modulation.The results of the simulations of each method has been recorded and the comparison results reveal that the proposed method effectively maintains the rotor flux decoupled to the torque.

Page 136 of 920 | Total Record : 9199

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