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Transmission Line Fault Detection: A Review
Hui Hwang Goh;
Sy yi Sim;
Asad Shaykh;
Md. Humayun Kabir;
Chin Wan Ling;
Qing Shi Chua;
Kai Chen Goh
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 1: October 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v8.i1.pp199-205
Transmission line is the most important part of the power system. Transmission lines a principal amount of power. The requirement of power and its allegiance has grown up exponentially over the modern era, and the major role of a transmission line is to transmit electric power from the source area to the distribution network. The exploded between limited production, and a tremendous claim has grown the focus on minimizing power losses. Losses like transmission loss and also conjecture factors as like as physical losses to various technical losses, Another thing is the primary factor it has a reactive power and voltage deviation are momentous in the long-range transmission power line. In essentially, fault analysis is a very focusing issue in power system engineering to clear fault in short time and re-establish power system as quickly as possible on very minimum interruption. However, the fault detection that interrupts the transmission line is itself challenging task to investigate fault as well as improving the reliability of the system. The transmission line is susceptible given all parameters that connect the whole power system. This paper presents a review of transmission line fault detection.
Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine
Zuhaila Mat Yasin;
Nur Ashida Salim;
Nur Fadilah Ab Aziz;
Hasmaini Mohamad;
Norfishah Ab Wahab
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v17.i1.pp10-17
Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least-Square Support Vector Machine (GWO-LSSVM). Least Squares Support Vector Machine (LSSVM) has strong ability to learn a complex nonlinear problems. In GWO-LSSVM, the parameters of LSSVM are optimized using Grey Wolf Optimizer (GWO). GWO algorithm is derived based on the hierarchy of leadership and the grey wolf hunting mechanism in nature. The main step of the grey wolf hunting mechanism are hunting, searching, encircling, and attacking the prey. The model has four input vectors: time, relative humidity, wind speed and ambient temperature. Mean Absolute Performance Error (MAPE) is used to measure the prediction performance. Comparative study also carried out using LSSVM and Particle Swarm Optimizer-Least Square Support Vector Machine (PSO-LSSVM). The results showed that GWO-LSSVM predicts more accurate than other techniques.
A Novel Clustering Routing Protocol in Wireless Sensor Network
Wu Rui;
Xia Kewen;
Bai Jianchuan;
Zhang Zhiwei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i8.pp6267-6273
The phenomenon of network resource-constrained often appears in wireless sensor network (WSN) because of nodes with energy-limited, so it becomes a research topic to study on high-performance routing protocol in wireless sensor network. In accordance with the characteristic of quantum particle swarm optimization (QPSO), a novel clustering routing protocol with QPSO algorithm is proposed based on the low energy adaptive clustering hierarchy (LEACH), which includes several steps, such as determining the number of cluster-head, preliminary clustering, optimization on temporary cluster by QPSO algorithm, clustering after optimization, and so on. Comparative analysis on simulation experiments show that the proposed routing protocol is superior to that of LEACH, and saves energy consumption of network excellently and balances energy of nodes so as to prolong the life of the network.
A Comparative Study of Control Methods for Induction Motor and High Performance Z-source Inverter
Pham Cong Thanh;
Shen An Wen
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science
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Design studies of the most suitable controller for the speed of induction motor (SIM) and peak DC-link voltage (PDV) of high performance z-source inverter (HP-ZSI) greatly affects performance of hybrid electric vehicles. This paper is to give comprehensive analyses comparison and evaluations of the different control techniques as PI controller, self-tuning fuzzy PI controller (SFP) and genetic algorithms optimal tuning gains of the PI controller for controlling the SIM based on criteria of the integral of the absolute value of speed error. With control PDV, this paper also presents comparisons of the different techniques as PI controller, fuzzy logic controller, SFP based on observation of its response and total harmonic distortion of current. All methods are applied to the closed loop of the SIM which relies on direct torque control combined with modified space vector modulation and closed loop of PDV in HP-ZSI. These methods are verified by Matlab software. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2445
Time Delay MIMO Decoupling Control Based on DOB-SVM Inverse System
Xie Peizhang;
Zhou Xingpeng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science
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The formation of potentially harmful trihalomethanes (THM) when using chlorine as a sanitizer in water supplies has led to a need for better control algorithm. Sanitizer dosing is a system with large time delay, non-linear, time-varying and multi models, also couple is introduced to the system because of multi tunnels multi pools structure (MTMP). Improved time-delay DOB based on SVM inverse system is proposed in this paper. Support Vector Machine (SVM) is used to identify the inverse system due to that the mathematical model will not be known precisely, then this inverse system cascades the original system so that time-delay pseudo-linearization system can be obtained. Meanwhile improved time-delay DOB is designed to overcome model mismatch, disturbance and time delay. Application results in waterworks at Suzhou (China) show that the method is able to resist the disturbance and improve the robustness; also the lower unit consumption (more than 9%) of sanitizer is obtained. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3670
GPS & GSM Based Accident Detection And Auto Intimation
S.George Fernandez;
R Palanisamy;
K. Vijayakumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp356-361
The high demand of automobiles has also increased the traffic hazards and the road accidents. Life of the people is under high risk. This is because of the lack of best emergency facilities available in our country. An automatic alarm device for vehicle accidents is introduced in this paper. This design is a system which can detect accidents in significantly less time and sends the basic information to first aid centre within a few seconds covering geographical coordinates, the time and angle in which a vehicle accident had occurred. This alert message is sent to the rescue team in a short time, which will help in saving the valuable lives. A Switch is also provided in order to terminate the sending of a message in rare case where there is no casualty, this can save the precious time of the medical rescue team. When the accident occurs the alert message is sent automatically to the rescue team and to the police station. The message is sent through the GSM module and the location of the accident is detected with the help of the GPS module.
Multi-Carrier based 27-level Hybrid Multi-level Inverter Interface with PhotoVoltaic
P. Kiruthika;
Ramani Kannan
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science
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This paper presents a Multi-Carrier Pulse Width Modulation control for a Single-phase 27-level Hybrid Multi-Level Inverter for photovoltaic systems. Multi-Carier Pulse Width Modulation technique uses a easy mapping to generate gate signals for the inverter.The Maximum Power Point Tracking is capable of extracting maximum power from PV array connected to each DC linkage voltage stage. The Maximum Power Point Tracking algorithm is solved by Perturb and Observer method.This is done to accomplish high energetic performance with low Total Harmonic Distortion.The grades are compared with conventional Multi-Level Inverter in terms of inferior THD is obtained and the 27-level Hybrid Muti-Level Inverter is simulated by using MATLAB/simulink.Simulated results are available to verify the usefulness and accuracy of the proposed method. This proposal can be easily extended to an n-level inverter for PV system. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7140
Design and simulation of interdigitated electrode for Graphene-SnO2 sensor on acetone gas
Nur Hikmah;
Huzein Fahmi Hawari;
Monika Gupta
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp119-125
This paper presents the design and simulation of interdigitated electrode for graphene-SnO2 sensor on acetone gas. This study focuses on designing and simulating a sensor platform based on IDE with different configuration parameters to obtain the most ideal and efficient layout concerning sensitivity. Eventhough the sensor platform can be easily fabricated by using photolithography, screen-printing and other methods, the simulation is preferable as it provides low cost, secure and quick analysis tools with required sensitivity analysis. The design is important before developing a hybrid gas sensor based on metal oxide and graphene to detect acetone for diabetic mellitus at room temperature. IDE is one of the sensor platforms which provide simplicity, miniaturization and offers an economical mass-fabrication as an alternative to large systems for a sensor. The sensitivity of this IDE can be improved by altering the parameters of the IDE configuration. Herein, COMSOL Multiphysics® 5.4 software is used for simulation where the IDE-based sensor is constructed, and the electrical field is simulated with dependence on several parameters such as width, gap, finger's number and thickness of the electrode. The electrical field that is generated by the simulation results were analyzed and discussed to find the ideal design with the highest sensitivity. From the simulation, it was found that the optimum sensitivity with electrical field of 58808 V/m was the design of IDE configuration with 14 fingers, 0.15 mm spacing size between fingers, 0.15 mm width of the finger and 0.7mm thickness of fingers and electrode.
Influence of Non-Integer Harmonics and Interference on SAPF
Zhang Chao;
Ren Zi-Hui;
Zhang Yi-Jun;
Ma Xiao-Ping
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science
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Inter-harmonics and non-periodic disturbance generated by aging SAPF or other reasons would impact SAPF performance. In this paper, three-level SAPF was used as example: the mathematical model of three-level SAPF under the definition of virtual flux was built. The power theory under the definition of CPT was discussed. Based on the definition of CPT, the method for SAPF detection system with CPT was studied and the performance was verified by comparing results with the PQ theory. Repetitive control and PI control were used as a combination system for grid inter-harmonics compensation. EID controller was used to improve the performance of repetitive controller for inter-harmonics and non-periodic disturbance rejection. Finally, system reliability was verified by MATLAB simulation and three-level experiment platform. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4443
A Study on TPMS Pre-warning Threshold Algorithm Based on Multi-sensor Data Fusion
Wang Gang;
Zhao Jiyin
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science
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In order to improve the precision of the tire pressure monitoring system, the Bayes method is applied to establish its mathematical model of multi-sensor information fusion. The temperature and pressure in the tire, which are the complementary information, are integrated in the model through analyzing the mechanism of tire burst generated by temperature and pressure. Through the temperature compensation of tire burst pressure threshold value, the false alarm and false negative are avoided to the hilt. The experimental results show that compared with the traditional TPMS, the accuracy of the measuring results of this model is improved and thus the system’s monitoring ability is improved so that the traffic safety is guaranteed. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7895