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25,002 Article Results

Power System Oscillation Damping Using New Facts Device

10.11591/ijece.v5i2.pp198-204
D. Narasimha Rao , V. Saritha
This paper presents about improving stability of the system which can be possible with new FACTS device with more convenient. FACTS devices come under the influence of power electronics equipment. Distributed Power Flow Controller is a FACTS device used for damping low frequency oscillation with new controlling approach. It is valid for a wide range of the operating condition. In this work explain the basic model and its steady state operation, mathematical analysis injection of current control model of the DPFC. Using damping controller used in DPFC facts device as input to implement the task of power oscillation damping .Here this work had a brief study on damping, terminal voltage and excitation voltage at different load conditions, simulation results demonstrate damping low frequency oscillation at nominal, light and heavy loading conditions
Volume: 5
Issue: 2
Page: 198-204
Publish at: 2015-04-01

Discrete Markov Chain Based Spectrum Sensing for Cognitive Radio

10.11591/ijece.v5i2.pp297-303
Mohammadreza Amini , Asra Mirzavandi , Mosrafa Rezaei
Spectrum sensing is one of the functionalities of cognitive radios to exploit spectrum holes without interrupting primary users transmission. The more efficient of the spectrum sensing, the highest the throughput of secondary and primary network. This paper presents spectrum sensing method based on phase type modelling that is simple to do for secondary users to conclude about the channel state (idle or busy) under collision constraint. The parameters of phase type model can be adjusted based on desired operating point of the receiver sensor in its ROC curve. The presented approach can run a trade off between sensing time and the two error probabilities of sensor false alarm and miss-detection.
Volume: 5
Issue: 2
Page: 297-303
Publish at: 2015-04-01

Three-Dimensional Devices Transport Simulation Lifetime and Relaxation Semiconductor

10.11591/ijece.v5i2.pp243-250
Nouar Fadila Souad , Mansouri Seddik , Amrani Mohamed , Marie Pierre , Massoum Ahmed
Our work is to create a three-dimensional Simulator (3D) used for the study of the components to low geometry of design, and to determine in the volume structure  the  potential distributions and densities of free carriers in bias voltage given by solving the system of Poisson  and two  continuities equations. The initial version can simulate components of lifetime semiconductor.  In this study, we make a comparison between the lifetime and relaxation semiconductor in the conduction mode. In order to create a larger Simulator, we'll perform a calculation by varying am bipolar lifetime way to move from lifetime semiconductor to relaxation semiconductor. We consider the case corresponding at two different values of diffusion lifetime τ0 which is corresponding to a measured lifetime in current transport. The method of resolution consists to linearization of the equations transport by the finite differences method. The algorithm for solving linear and strongly coupled equations deduced from the physical model is the Newton-Raphson. However, in order to allow a better convergence and consequently an improvement of time computing 3D, a method combined, incorporating the Newton algorithm and the Gummel method was developed. PIN diodes are used for test of the simulation model
Volume: 5
Issue: 2
Page: 243-250
Publish at: 2015-04-01

Adaptive Fuzzy Integral Sliding-Mode Regulator for Induction Motor Using Nonlinear Sliding Surface

10.11591/ijpeds.v5.i4.pp512-519
Yong-Kun Lu
An adaptive fuzzy integral sliding-mode controller using nonlinear sliding surface is designed for the speed regulator of a field-oriented induction motor drive in this paper. Combining the conventional integral sliding surface with fractional-order integral, a nonlinear sliding surface is proposed for the integral sliding-mode speed control, which can overcome the windup problem and the convergence speed problem. An adaptive fuzzy control term is utilized to approximate the uncertainty. The stability of the controller is analyzed by Lyapunov stability theory. The effectiveness of the proposed speed regulator is demonstrated by the simulation results in comparison with the conventional integral sliding-mode controller based on boundary layer.
Volume: 5
Issue: 4
Page: 512-519
Publish at: 2015-04-01

Single Phase Z-Source Inverter with Differential Evolution (DE) based Maximum Power Point Tracker

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1451
M.F.N. Tajuddin , B. Ismail , A. Azmi , S. M. Ayob , Z. Salam
This paper presents an efficient power conditioning system for PV power system generation. The proposed Photovoltaic Power Conditioning System (PVPCS) used a single-stage single-phase Z-Source Inverter (ZSI) integrate with a relatively new evolutionary optimization algorithm known as the Differential Evolution (DE) as the Maximum Power Point (MPP) Tracker. Utilization of single-stage power conditioner overcomes several drawback of the two-stage configuration namely a higher part count, lower efficiency, lower reliability, higher cost and larger size. Furthermore, with a highly effective Differential Evolution (DE) based MPPT technique, the maximum power extraction from PV power generator is always at the optimum value. The proposed technique can track the true global MPP in most environmental circumstances particularly during the occurrence of partial shading condition. The proposed PVPCS is developed using MATLAB/Simulink. Simulation results show that the proposed PVPCS is able to realize inversion and boost function in single processing stage as well as dealing with partial shading condition. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7454
Volume: 14
Issue: 1
Page: 80-89
Publish at: 2015-04-01

Big Data: challenges, opportunities and Cloud based solutions

10.11591/ijece.v5i2.pp340-343
Hamid Bagheri , Abdusalam Abdullah Shaltooki
We are living in an era of information explosion. There are challenges with large and complex amount of data generated every day by social networks, wikis, blogs, emails, traffic system, bridges, airplanes and engine, satellites and weather sensors. 90% of current data in the world has been created in the last two years. Our smart planet becomes more and more intelligent. Besides the challenges posed by such vast amount of data including storage, search, sharing, analysis, and visualization, there are also much opportunities for the world as it becomes more and more digitalized. This study presents Big Data and highlights its key concepts and state-of-the-art implementation as well as research challenges and suggests research directions for future. IT log analytics, Fraud detection pattern, social media pattern and modeling and management patterns are some of opportunities. Hadoop is a cloud based and open source solution for Big Data Analytics which has been written by java. Hadoop solution is currently still immature. In this paper, three topics are suggested for research direction: Security issues in Big Data, context-aware information retrieval, and integrating ontology with Big Data.
Volume: 5
Issue: 2
Page: 340-343
Publish at: 2015-04-01

Power Quality Improvement in Distribution System using ANN Based Shunt Active Power Filter

10.11591/ijpeds.v5.i4.pp568-575
Somlal Jarupula , Narsimha Rao Vutlapalli , Narsimha Rao Vutlapalli
This paper focuses on an Artificial Neural Network (ANN) controller based Shunt Active Power Filter (SAPF) for mitigating the harmonics of the distribution system. To increase the performance of the conventional controller and take advantage of smart controllers, a feed forward-type (trained by a back propagation algorithm) ANN-based technique is implemented in shunt active power filters for producing the controlled pulses required for IGBT inverter. The proposed approach mainly work on the principle of capacitor energy to maintain the DC link voltage of a shunt connected filter and thus reduces the transient response time when there is abrupt variation in the load. The entire power system block set model of the proposed scheme has been developed in MATLAB environment. Simulations are carried out by using MATLAB, it is noticed that the %THD is reduced to 2.27% from 29.71% by ANN controlled filter. The simulated experimental results also show that the novel control method is not only easy to be computed and implemented, but also very successful in reducing harmonics. 
Volume: 5
Issue: 4
Page: 568-575
Publish at: 2015-04-01

FC/PV Fed SAF with Fuzzy Logic Control for Power Quality Enhancement

10.11591/ijpeds.v5.i4.pp470-476
R. Balamurugan , R. Nithya
In this paper, a Fuel cell (FC) / Photovoltaic cell (PV)/ Battery operated three phase Shunt Active power Filter (SAF) is proposed for improving the power quality at the utility side. Fuzzy based instantaneous p-q theory control is proposed for SAF. This SAF consists of Voltage Source PWM Converter (VSC) and a DC link capacitor supplied by a FC/PV/Battery. The filter provides harmonic mitigation with reactive power compensation and neutral compensation for loads at the Point of Common Coupling (PCC). A Single switch boost DC-DC converter connects the FC/PV/Battery with the VSC to maintain the load. The performance of the proposed SAF is tested in MATLAB / SIMULINK environment with Fuzzy logic controller (FLC). The controller maintains the DC link voltage based on the current reference generated by the p-q theory. The Hysteresis PWM current controller is employed to generate the gating pulses to the switches in VSC. The simulation results of the proposed SAF validate the effectiveness of FLC in power quality enhancement.
Volume: 5
Issue: 4
Page: 470-476
Publish at: 2015-04-01

Power Control of Wind Turbine Based on Fuzzy Sliding-Mode Control

10.11591/ijpeds.v5.i4.pp502-511
Tahir Khalfallah , Belfedal Cheikh , Allaoui Tayeb , Gerard Champenois
This paper presents the study of a variable speed wind energy conversion system (WECS) using a Wound Field Synchronous Generator (WFSG) based on a Fuzzy sliding mode control (FSMC) applied to achieve control of active and reactive powers exchanged between the stator of the WFSG and the grid to ensure a Maximum Power Point Tracking (MPPT) of a wind energy conversion system. However the principal drawback of the sliding mode, is the chattering effect which characterized by torque ripple, this phenomena is undesirable and harmful for the machines, it generates noises and additional forces of torsion on the machine shaft. A direct fuzzy logic controller is designed and the sliding mode controller is added to compensate the fuzzy approximation errors. The simulation results clearly indicate the effectiveness and validity of the proposed method, in terms of convergence, time and precision.
Volume: 5
Issue: 4
Page: 502-511
Publish at: 2015-04-01

A New Approach of Localized Human Blood Reheating Using High Frequency Converter

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1453
Pradip Kumar Sadhu , Palash Pal , Animesh Halder , Ankur Ganguly , Nitai Pal , Prabir Bhowmik
The paper presents the human blood reheating technique for medical purposes with high frequency induction heating system. The temperature is analyzed to determine the heat distribution in different positions of human blood within the non metallic tank. In the proposed induction heating system, the inductive applicator is a primary working coil of the modified half bridge high frequency inverter and the RBCs within the blood will be working as secondary element. The simulation shows that the heating area can be effectively controlled by using the cylindrical shield with adjustable space. However, the efficiency of heat can be increased by varying the radius size of cylinder thereby more flux appears and more eddy emf is induced. Hence the resulting eddy current increases the refrigerated blood of range 1ºC- 6ºC to 37ºC. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7262
Volume: 14
Issue: 1
Page: 97-102
Publish at: 2015-04-01

Near Optimal Convergence of Back-Propagation Method using Harmony Search Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1462
Abdirashid Salad Nur , Nor Haizan Mohd Radzi , Siti Mariyam Shamsuddin
Training Artificial Neural Networks (ANNs) is of great significanceand a difficult task in the field of supervised learning as its performance depends on underlying training algorithm as well as the achievement of the training process. In this paper, three training algorithms namely Back-Propagation Algorithm, Harmony Search Algorithm (HSA) and hybrid BP and HSA called BPHSA are employed for the supervised training of Multi-Layer Perceptron feed  forward type of Neural Networks (NNs)  by giving special attention to hybrid BPHSA. A suitable structure for data representation of NNs is implemented to BPHSA-MLP, HSA-MLP and BP-MLP. The proposed method is empirically tested and verified using five benchmark classification problemswhich are Iris, Glass, Cancer, Wine and Thyroid dataset on training NNs. The MSE, training time, and classification accuracy of hybrid BPHSA are compared with the standard BP and meta-heuristic HSA. The experiments showed that proposed method has better results in terms of convergence error and classification accuracy compared to BP-MLP and HSA-MLPmaking the BPHSA-MLPa promising algorithm for neural network training. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7233
Volume: 14
Issue: 1
Page: 163-172
Publish at: 2015-04-01

ESPRIT Method Enhancement for Real-time Wind Turbine Fault Recognition

10.11591/ijpeds.v5.i4.pp552-567
Saad Chakkor , Mostafa Baghouri , Abderrahmane Hajraoui
Early fault diagnosis plays a very important role in the modern energy production systems. The wind turbine machine requires a regular maintenance to guarantee an acceptable lifetime and to minimize production loss. In order to implement a fast, proactive condition monitoring, ESPRIT method seems the correct choice due to its robustness in improving the frequency and amplitude detection. Nevertheless, it has a very complex computation to implement in real time. To avoid this problem, a Fast-ESPRIT algorithm that combined the IIR band-pass filtering technique, the decimation technique and the original ESPRIT method were employed to enhance extracting accurately frequencies and their magnitudes from the wind stator current. The proposed algorithm has been evaluated by computer simulations with many fault scenarios. Study results demonstrate the performance of Fast-ESPRIT allowing fast and high resolution harmonics identification with minimum computation time and less memory cost.
Volume: 5
Issue: 4
Page: 552-567
Publish at: 2015-04-01

Fuzzy Based Analysis of Inverter Fed Micro Grid in Islanding Operation-Experimental Analysis

10.11591/ijpeds.v5.i4.pp464-469
Yuvaraja Teekaraman , Gopinath Mani
Islanding operation in essence connotes isolating part of a power system not unlike distributed generation. This thesis puts forward fuzzy logic controller for inverter fed micro-grid in islanding operations which is assessed using hardware implementation. It’s assisted by power electronics which imparts the control and flexibility essential for the micro grid concept. A correctly designed controller guarantees that the micro grid can meet its utility’s demands. The efficacy and robustness is deliberated in the design of fuzzy system. The testing is performed by employing hardware components namelyATMEGA-328microcontroller, TLP250 opto-coupler and a MOSFET circuit. The test results demonstrate very good consistency and show noteworthy implications of the control of micro grid using inverters and fuzzy controllers.
Volume: 5
Issue: 4
Page: 464-469
Publish at: 2015-04-01

Forecasting of Utility Cost in a Deregulated Electricity Market by Using Locational Marginal Pricing

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1446
T. Mohanapriya , T.R. Manikandan , T. Venkatesan
In the deregulated electricity market bidding contest is the major operation. Prices obtained from the result of bidding strategy is essential, since all market participants do not be familiar with the accurate assessment of future prices in their decision-making process. Locational Marginal Pricing obtains from the Optimal Power Flow problem gives the economic value of electrical energy at each location. Proposed method is based on lossless DC Optimal Power Flow. To solve this LMP problem optimization based Linear Programming (LP) approach has been implemented. In this paper LMP values with transmission, line outage and generator outage constraints are studied. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7713
Volume: 14
Issue: 1
Page: 42-48
Publish at: 2015-04-01

An Adaptive RTRL Based Neurocontroller for Damping Power System Oscillations

10.11591/ijape.v4.i1.pp1-12
K. C. Sindhu Thampatty , P. C. Reghu Raj
The main objective of this paper is to present the design of an adaptive neuro-controller for series connected FACTS devices like Thyristor Controlled Series Capacitor (TCSC) and Thyristor controlled Power Angle Regulator (TCPAR). This control scheme is suitable for non-linear system control, in which the exact linearised mathematical model of the system is not required. The proposed controller design is based on Real Time Recurrent Learning (RTRL) algorithm in which the Neural Network (NN) is trained in real time. This control scheme requires two sets of neural networks. The first set is a neuro-identifier and the second set is a neurocontroller which generates the required control signals for the thyristors. Performance of the system is analysed with the proposed controller using standard simulation environments like MATLAB/SIMULINK and it has been observed that the controlleris robust and the response is very fast. Performance of the system with proposed controller is compared with conventional PI controllers and GA based PI controllers. Performace of the proposed controller is extremely good.
Volume: 4
Issue: 1
Page: 1-12
Publish at: 2015-04-01
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