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30,468 Article Results

Modelling and Control Design for Energy Management of Grid Connected Hybrid PV-wind System

10.11591/ijape.v7.i2.pp166-180
Hassan Abouobaida , Said El Bied
This paper deals with the control of hybrid PV-WIND power conversion structure. This paper develops a very important contribution which is the use of a single DC to DC converter, linearization of control of the three- level boost converter (TLBC) considering the imperfections of the passive components. The (TLBC) control provides balancing of capacitor voltages and maximum power operation of PV generator. For reasons of simplicity, a linearization based on the dynamic compensation of the disturbance is proposed. A sensorless maximum power point tracking (MPPT) algorithm is used to maximize a power extracted of the wind generator. The proportional relation between the rotational speed and the output voltage of the rectifier allows to use a voltage sensor to estimate the DC bus voltage reference instead of a mechanical speed sensor. The control of the three-phase inverter allows a transfer of the active power, the power factor close to the unit and thus a limitation of the reactive power injected into the grid. The external control loop performs the regulation of the common DC bus voltage while the internal control loop regulates the dq components of the currents injected into the grid. The simulation results showed the validity of the control approach. The proposed power conversion structure based on a single static converter has shown very good performance in terms of efficiency, the quality of the energy produced, complementarity between the two renewable sources and reliability. The paper ends with conclusions.
Volume: 7
Issue: 2
Page: 166-180
Publish at: 2018-08-01

Nanometric Modelization of Gas Structure, Multidimensional using COMSOL Software

10.11591/ijece.v8i4.pp2014-2020
I. Bouneb , F. Kerrour
In structures with GaAs, which are the structures most used, because of their physical and electronic proprieties, nevertheless seems a compromise between the increase of doping and reduced mobility. The use of quantum hetero structures can overcome this limitation by creating a 2D carrier gas. Using the COMSOL software this work present three models: the first model computes the electronic states for the heterojunction AlGaAs/GaAs in 1D dimension, the second model computes the electronic states for the heterojunction AlGaAs/GaAs but in 2D dimension (nanowire) and the third model we permitted the study of this hetero junction (steep) wich inevitably involves the resolution of the system of equations Schrödinger-Poisson due to quantum effects that occur at the interface. The validity of this model can be effectuated with a comparison of our results with the result of different models developed in the literature of the related work, from this point of view the validity of our model is confirmed.
Volume: 8
Issue: 4
Page: 2014-2020
Publish at: 2018-08-01

Accelerated Mobile Pages from JavaScript as Accelerator Tool for Web Service on E-Commerce in the E-Business

10.11591/ijece.v8i4.pp2399-2405
Agus Wibowo , Guruh Aryotejo , Mufadhol Mufadhol
E-commerce is a sub-part of E-business which includes all kinds of functions and business activities by using electronic data that has the main purpose to increase corporate profits. One of the strategies used is to automate the existing tasks in E-commerce by utilizing web service facilities, which will significantly save time. The use of smartphones as a primary means of information and communication forces web service application providers to improve their services and facilities, such as websites that can be opened quickly and lightly on smartphone devices. This paper will discuss the benefits of accelerated mobile pages as a coding accelerator tool in the javaScript programming language using XML, HTML and XHTML programming as well as involving the use of SOAP, WSDL and NuSOAP that will run on both HTTP and HTTPS protocols. Using accelerated mobile pages as a means of accelerator tool on E-commerce in E-business can directly improve web service performance. This is very prominent when the site is accessed through a smartphone that has limited resources, in the form of website access will feel fast, easy and light.
Volume: 8
Issue: 4
Page: 2399-2405
Publish at: 2018-08-01

Reliability worth Assessment of Active Distribution System Considering Protective Devices and Multiple Distributed Generation Units

10.11591/ijape.v7.i2.pp111-119
Subramanya Sarma S , V. Madhusudhan , V. Ganesh
Reliability worth assessment is a primary concern in planning and designing of electrical distribution systems those operate in an economic manner with minimal interruption of electric supply to customer loads. Renewable energy sources (RES) based Distributed Generation (DG) units can be forecasted to penetrate in distribution networks due to advancement in their technology. The assessment of reliability worth of DG enhanced distribution networks is a relatively new research area. This paper proposes a methodology that can be used to analyze the reliability of active distribution systems (DG enhanced distribution system) and can be applied in preliminary planning studies to compute the reliability indices and statistics. The reliability assessment in this work is carried out with analytical approach applied on a test system and simulated results validate that installation of distributed generators can improve the distribution system reliability considerably.
Volume: 7
Issue: 2
Page: 111-119
Publish at: 2018-08-01

Reliability Constrained Unit Commitment Considering the Effect of DG and DR Program

10.11591/ijece.v8i4.pp1985-1996
Masoud Aliakbari , Pouria Maghouli , Habib Allah Aalami
Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79.
Volume: 8
Issue: 4
Page: 1985-1996
Publish at: 2018-08-01

Solar Energy System Based Impedance-Source Inverter for Grid Connected System

10.11591/ijape.v7.i2.pp129-138
S Kamalakkannan , D. Kirubakaran
In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.
Volume: 7
Issue: 2
Page: 129-138
Publish at: 2018-08-01

Wireless Sensor Network Design for Earthquake’s and Landslide’s Early Warnings

10.11591/ijeecs.v11.i2.pp437-445
Haziel Latupapua , Andrias Izaac Latupapua , Abdi Wahab , Mudrik Alaydrus
Indonesia including the earthquake-prone areas because Indonesia is situated between three tectonic plates and in the Maluku island it self has a fault line 10 zones, the impact of frequent tectonic earthquake on the island of Maluku resulted in a domino effect, such as the frequent occurrence of soil landslides at several points in the city of Ambon, and due to faults that occur lead ease rising sea levels to population centers so Ambon was becoming flooded. This research aims to design and analyzing measurements of earthquake monitoring system indication and landslides integrated via Wireless Sensor Network (WSN) by implementing a star topology, technology, ZigBee, WiFi technology Shield and GPRS (General Packet Radio Service). Researchers technology utilizes Wireless Sensor Network (WSN) to acquire and distribute widely the data to be monitored and controlled centrally.By detecting suspicious indicators such as tremor or landslides through nodes or end devices, the system provides information to the number of monitors and warnings. The system can also be accessed in real-time via the website by accessing the IP address of the Wireless-LAN devices Wi-Fi Arduino Shield.
Volume: 11
Issue: 2
Page: 437-445
Publish at: 2018-08-01

Sensorless Control of Brushless Doubly-Fed Generator Using Luenberger Observer Based Wind Energy Conversion Systems

10.11591/ijape.v7.i2.pp188-198
Hicham Serhoud , Djilani Benattous
This paper investigates the use of Luenberger observer for sensorless power control of brushless double fed induction machine (BDFM) in wind energy conversion systems, the control strategy for flexible power flow control is developed by applying flux oriented vector control (technique), In order to estimate the rotor speed, an adaptive algorithm based on Lyapunov stability theory will be design. Finally the analyzed and simulation results in MATLAB/ Simulink platform confirmed the good dynamic performance of this new sensorless control for BDFG based variable speed wind turbines.
Volume: 7
Issue: 2
Page: 188-198
Publish at: 2018-08-01

Coal-Fired Boiler Fault Prediction using Artificial Neural Networks

10.11591/ijece.v8i4.pp2486-2493
Nong Nurnie Mohd Nistah , King Hann Lim , Lenin Gopal , Firas Basim Ismail Alnaimi
Boiler fault is a critical issue in a coal-fired power plant due to its high temperature and high pressure characteristics. The complexity of boiler design increases the difficulty of fault investigation in a quick moment to avoid long duration shut-down. In this paper, a boiler fault prediction model is proposed using artificial neural network. The key influential parameters analysis is carried out to identify its correlation with the performance of the boiler. The prediction model is developed to achieve the least misclassification rate and mean squared error. Artificial neural network is trained using a set of boiler operational parameters. Subsequenlty, the trained model is used to validate its prediction accuracy against actual fault value from a collected real plant data. With reference to the study and test results, two set of initial weights have been tested to verify the repeatability of the correct prediction. The results show that the artificial neural network implemented is able to provide an average of above 92% prediction rate of accuracy.
Volume: 8
Issue: 4
Page: 2486-2493
Publish at: 2018-08-01

Neural Network Model Development with Soft Computing Techniques for Membrane Filtration Process

10.11591/ijece.v8i4.pp2614-2623
Zakariah Yusuf , Norhaliza Abdul Wahab , Shafishuhaza Sahlan
Membrane bioreactor employs an efficient filtration technology for solid and liquid separation in wastewater treatment process. Development of membrane filtration model is significant as this model can be used to predict filtration dynamic which is later utilized in control development. Most of the available models only suitable for monitoring purpose, which are too complex, required many variables and not suitable for control system design. This work focusing on the simple time seris model for membrane filtration process using neural network technique. In this paper, submerged membrane filtration model developed using recurrent neural network (RNN) train using genetic algorithm (GA), inertia weight particle swarm optimization (IW-PSO) and gravitational search algorithm (GSA). These optimization algorithms are compared in term of its accuracy and convergent speed in updating the weights and biases of the RNN for optimal filtration model. The evaluation of the models is measured using three performance evaluations, which are mean square error (MSE), mean absolute deviation (MAD) and coefficient of determination (R2). From the results obtained, all methods yield satisfactory result for the model, with the best results given by IW-PSO.
Volume: 8
Issue: 4
Page: 2614-2623
Publish at: 2018-08-01

An Efficient Schema of a Special Permutation Inside of Each Pixel of an Image for its Encryption

10.11591/ijeecs.v11.i2.pp496-503
Hana Ali-Pacha , Naima Hadj-Said , Adda Ali-Pacha , Mustafa Mamat , Mohamad Afendee Mohamed
The developments of communications and digital transmissions have pushed the data encryption to grow quickly to protect the information, against any hacking or digital plagiarisms. Many encryption algorithms are available on the Internet, but it's still illegal to use a number of them. Therefore, the search for new the encryption algorithms is still current. In this work, we will provide a preprocessing of the securisation of the data, which will significantly enhance the crypto-systems. Firstly, we divide the pixel into two blocks of 4 bits, a left block that contains the most significant bit and another a right block which contains the least significant bits and to permute them mutually. Then make another permutation for each of group. This pretreatment is very effective, it is fast and is easy to implement and, only consumes little resource.
Volume: 11
Issue: 2
Page: 496-503
Publish at: 2018-08-01

Meleagris Gallopavo Algorithm for Solving Optimal Reactive Power Problem

10.11591/ijape.v7.i2.pp99-110
K. Lenin
In this paper, Meleagris Gallopavo Algorithm (MGA) is proposed for solving optimal reactive power problem.As a group-mate Meleagris gallopavo follow their poultry to  explore food,  at the same time it prevent the  same ones  to eat their own food. Always the overriding individuals have the lead to grab more food and Meleagris gallopavo would arbitrarily pinch the high-quality food which has been already found by other Meleagris gallopavo. In the region of the mother Meleagris gallopavo, Poults always search for food. In the Projected Meleagris Gallopavo Algorithm (MGA) additional parameters are eliminated, in order to upsurge the search towards global optimization solution.Proposed Meleagris Gallopavo Algorithm (MGA) has been tested on two modes a. with the voltage stability Evaluation in standard IEEE 30 bus test system, b. Without voltage stability Evaluation in standard IEEE 30, 57,118 bus test systems & practical 191 test system. Simulation results show clearly the better performance of the proposed Meleagris Gallopavo Algorithm (MGA) in reducing the real power loss, enhancement of static voltage stability Index and particularly voltage profiles within the specified limits.
Volume: 7
Issue: 2
Page: 99-110
Publish at: 2018-08-01

Mobile Application for Electric Power Monitoring on Energy Consumptions at a Campus University

10.11591/ijeecs.v11.i2.pp637-644
Murizah Kassim , Maisarah Abdul Rahman , Cik Ku Haroswati Che Ku Yahya , Azlina Idris
This paper presents a research on electric power monitoring prototype mobile applications development on energy consumptions in a university campus. Electric power energy consumptions always are the issue of monitoring usage especially in a broad environment. University campus faces high used of electric power, thus crucial analysis on cause of the usage is needed. This research aims to analyses electric power usage in a university campus where implemented of few smart meters is installed to monitor five main buildings in a campus university. A Monitoring system is established in collecting electric power usage from the smart meters. Data from the smart meter then is analyzed based on energy consume on 5 buildings. Results presents graph on the power energy consume and presented on mobile applications using Live Code coding. The methodology involved the setup of the smart meters, monitoring and data collected from main smart meters, analyzed electrical consumptions for 5 buildings and mobile system development to monitor. A Live Code mobile app is designed then data collected from smart meter using ION software is published in graphs. Results presents the energy consumed for 5 building during day and night. Details on maximum and minimum energy consumption presented that show load of energy used in the campus. Result present Tower 1 saved most eenergy at night which is 65% compared to block 3 which is 8% saved energy although block 3 presents the lowest energy consumption in the working hours and non-working hours. This project is significant that can help campus facility to monitor electric power used thus able to control possible results in future implementations.
Volume: 11
Issue: 2
Page: 637-644
Publish at: 2018-08-01

Ship Speed Estimation using Wireless Sensor Networks: Three and Five Sensors Formulation

10.12928/telkomnika.v16i4.7596
Ajib Setyo; Universitas Indonesia Arifin , Dina Kusuma; Universitas Indonesia Wahyuni , Muhammad; Universitas Indonesia Suryanegara , Muhammad; Universitas Indonesia Asvial
Intrusion detection on the sea is an important surveillance problem for harbor protection, border security, and commercial facilities such as oil platforms, fisheries facilities and other marine wealth. Widely used methods for ship detection are using radar or satellite which is very expensive. Besides the high cost, the satellite image is easy affected by the cloud. And it is difficult to detect small boats or ships on the sea with marine radar due to the noise or clutters generated by the uneven sea surface. In this paper, we propose ship speed estimation by taking advantage of ship-generated wave’s characteristics with Wireless Sensor Network (WSN). We use a grid fashion for sensor node deployment that can be clustered into three and five sensors. We propose the ship speed formulation for each type of claster. We use three sensors, we may expect to improve energy efficiency by involving small number of sensor for detection. We use five sensors, we may expect to improve accuracy of detection. We also propose an algorithm for detection by incorporating individual sensor detection. The individual sensor detection produces a time stamp that records the ship-generated waves intruding the sensors.
Volume: 16
Issue: 4
Page: 1527-1534
Publish at: 2018-08-01

K-Means Clustering and Genetic Algorithm to Solve Vehicle Routing Problem with Time Windows Problem

10.11591/ijeecs.v11.i2.pp462-468
Adyan Nur Alfiyatin , Wayan Firdaus Mahmudy , Yusuf Priyo Anggodo
Distribution is an important aspect of industrial activity to serve customers on time with minimal operational cost. Therefore, it is necessary to design a quick and accurate distribution route. One of them can be design travel distribution route using the k-means method and genetic algorithms. This research will combine k-means method and genetic algorithm to solve VRPTW problem. K-means can do clustering properly and genetic algorithms can optimize the route. The proposed genetic algorithm employs initialize chromosome from the result of k-means and using replacement method of selection. Based on the comparison between genetic algorithm and hybrid k-means genetic algorithm proves that k-means genetic algorithm is a suitable combination method with relative low computation time, are the comparison between 2700 and 3900 seconds.
Volume: 11
Issue: 2
Page: 462-468
Publish at: 2018-08-01
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