فهرست مطالب

Majlesi Journal of Electrical Engineering - Volume:13 Issue:3, 2019
  • Volume:13 Issue:3, 2019
  • تاریخ انتشار: 1398/07/17
  • تعداد عناوین: 12
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  • Nabil A. Hussein*, Ayamn A. Eisa, Hassan M. Mahmoud, Safy A. Shehata, El, Saeed Othman Pages 1-13

    Flexible AC Transmission Systems (FACTS) have been proposed in the late 1980s for providing the necessary electrical power system requirements. FACTS are used for controlling the power flow and improving the stability of the power system. Interline Power Flow Controller (IPFC) is a versatile device in FACTS family; it is one of recently developed controllers in FACTS family, which has the capability to simultaneously control the power flow in two or multiple transmission lines. This paper is tackling the IPFC performance in power systems; it aims to discuss the availability to define a known scenario for the IPFC performance in different systems. The introduction is supported with a brief review on IPFC, IPFC principles for operation, and IPFC mathematical model. IEEE 14-bus and 30-bus systems have been chosen as a test power system; for supporting the behavior study of power system, which is equipped with IPFC device. Three different locations have been chosen to give variety of system configurations to give effective performance analysis

    Keywords: Flexible AC Transmission Systems, Interline Power Flow Controller, Power Flow, Performance Analysis
  • Afshar Bali, Hamdi Abdi, Ali Rostami*, Shahram Karimi Pages 15-25

    Load modeling is one of the most important features in power system operation and stability studies. So far, various methods have been applied based on measuring the relevant load data, and obtaining the load models through the mathematical models. This paper presents a method for load modeling based on processing the recorded data by the measurement equipment with PSO algorithm, which is located in substations. In the proposed method, for improving the accuracy of the load model, some constraints are applied for eliminating the undesirable measured data. These constraints are applicable for any time periods, such as; hourly, daily, seasonally, and annually. Furthermore, a combination of the static and dynamic models is utilized. The performance of the proposed method is tested on two industrial power grids from the west regional electric company (WREC) network, and the results are thoroughly analyzed. The results have shown that the proposed method has an acceptable accuracy for load modeling in comparison with real model of the case study systems

    Keywords: Load Modeling, Static Load Model, Dynamic Load Model, Load Model Parameters
  • Habib Benbouhenni* Pages 27-35

    An intelligence Indirect Vector Control (IVC) of a Doubly Fed Induction Generator (DFIG) by using a five-level inverter with space vector modulation (5L-SVM) strategy is proposed in this article. The novelty of the proposed intelligence strategy is an Artificial Neural Network (ANN), which is utilised for the IVC command of the DFIG. In this research, ANN has been replaced with the hysteresis comparators of the 5L-SVM technique. The backpropagation process is used for the training process of the ANN. By using the ANN outputs, the SVM-ANN strategy develops command pulses for the five-level inverter. Subsequently, the proposed intelligence strategy is implemented in the MATLAB/Simulink platform and the effectiveness is analysed by comparing different tests. The simulation and comparison results have demonstrated the superiority of the proposed approach and confirmed the potential of the proposed system for solving the problem

    Keywords: Indirect Vector Control, DFIG, ANN, 5L-SVM, SVM-ANN
  • Bhupendra Kumar, Anamika Yadav* Pages 37-48

    In this paper, machine learning technique is used to detect and classify all shunt faults in a UPFC compensated transmission line. A four-bus three-machine system with detailed modelling of UPFC has been used for fault simulation studies in MATLAB/Simulink. Instantaneous voltage and current signals obtained at local bus terminal are processed with DFT and statistical method for feature extraction. The input features of the ANN are minimised by using the statistical method. Generated features are used for training the ANN module. Trained ANN modules are used for testing different fault conditions in the time domain. Rigorous simulation studies have been performed with a wide variety of different possible fault situations. Simulation results bring out the superiority of the scheme. Moreover, the error introduced due to CT, CCVT and Dynamic behaviour of the UPFC has been considered for testing the trained ANNs by varying the different operating mode of UPFC, and different compensation levels, wherein all the cases, the performance is found reliable.

    Keywords: ANN, Fault Classification, Fault Detection, FACTS, SSSC, STATCOM, Transmission Line Protection, UPFC
  • Nader Sharifi Gharabaghlo*, Tohid Moradi Khaneshan Pages 49-57

    This review paper deals with performance analysis of the published works for circuit level realization of radix-4 Booth encoder/decoders. Starting from general concept of Booth algorithm in brief form, the conventional truth table is discussed. Subsequently, the modifications which led to the circuit level implementations along with the complete and comparative analysis for the selected works, is provided. Simulations using HSPICE for TSMC 0.18µm CMOS technology and 1.8V power supply have been performed for comparing these works. Considering the required optimizations applied to the mentioned works, it can be deduced that 1.5 XOR gate level delay is reachable for radix-4 Booth encoding scheme while the output waveforms are free of any glitches. The optimized version of Booth encoder has been embedded in a 16x16 bit parallel multiplier in which, the measured latency after post layout simulations is 1992ps; which demonstrates the high potential of chosen radix-4 Booth encoding scheme for utilization in high speed parallel multipliers.

    Keywords: Parallel Multiplier, Booth Encoder, Radix-4, High Speed
  • Noureddine Layadi*, Samir Zeghlache, Ali Djerioui, Hemza Mekki, Fouad Berrabah, Azeddine Houari, Mohamed, Fouad Benkhoris Pages 59-68

    In this paper a Passive Fault Tolerant Control (PFTC) based on non-linear backstepping control is proposed for a Double Star Induction Machine (DSIM) under Broken Rotor Bars (BRB) fault of a squirrel-cage in order to improve its reliability and availability. The proposed PFTC is able to maintain acceptable performance in the event of BRB. This control technique guarantees robustness against uncertainties and external disturbances and is also able to deal directly with faults by compensating for the effects of the BRB fault in the machine without prior knowledge on the fault, its location and its severity. The stability of the closed-loop is verified by the exploitation of the Lyapunov theory. a comparative study is made between the proposed Fault Tolerance Control (FTC) and Sliding Mode Control (SMC) for demonstrating the performance and effectiveness of the proposed controller. The results obtained show that the proposed FTC has a better robustness against the BRB fault where the DSIM operates with acceptable performance in both speed and torque.

    Keywords: Double Star Induction Machine, Backstepping Control, Sliding Mode Control, Fault Tolerant Control, Broken Rotor Bars
  • Zahra Jafari Shahbazzadeh*, Ramin Vatankhah, Mohamad Eghtesad Pages 69-74

    In this article, derivation of a nonlinear model and nonlinear controller design for a micropipe conveying fluid, which is excited with a piezoelectric actuator, are accomplished. The governing equations are derived by using Hamilton’s principle. The difference between the equations in micro-scales and macro-scales is established by using the modified couple stress theory. Unlike the classical Timoshenko beam theory, this new theorem includes a material length scale parameter which could help capturing the size effect. In addition, for thin members, so long as the deformation in the order of thickness, they do not remain in the elastic zone. Therefore, the linear theorem produces error in predicting inplane movement of the member. In this way, the nonlinear terms are considered in the equations by applying mid-plane stretching theory. After this derivation, a frequency analysis is performed on the model. In addition, the effective parameters on the peak value of the response are studied as well. Finally, a sliding mode controller for the input voltage of the system is designed. It has been observed that by using this type of nonlinear controller, the behavior of the system could be improved significantly

    Keywords: MEMS, Micropipe, Piezoelectric, Couple Stress Theorem, Hamilton’s Principle, Sliding Mode Controller
  • Noureddine Bessous*, Salim Sbaa, Radouane Bousseksou, Abdelkrim Allag Pages 75-82

    This paper presents the mechanical fault detection in Squirrel Cage Induction Motors (SCIMs). In this study, we diagnosed the Rolling Bearing Element (RBE) faults in SCIM. Rolling bearing element faults is a major problem among different faults, which cause catastrophic damage to rotating machinery. thus, early detection of the RBE faults in SCIMs is a very important step. Among the key words of the mechanical vibrations for rotating electrical machines is the vibration analysis. This technique is generally called Motor Vibration Signature Analysis (MVSA) which is based on the vibration image. The vibration signal analysis is a one of the most important methods in the fault detection field. MVSA is generally based on Fast Fourier Transform (FFT) of the vibration signal. This research work has utilized the MVSA-FFT in detail, in order to detect the RBE faults. In addition, this study shows a new overlap between the characteristic frequencies of the RBE faults. In order to make an accurate analysis; it is important to know this overlap in advance. This new overlap has the advantage of expressing it by specific formulas which allows us to verify the additional harmonics carefully. The acquisition data is performed experimentally in order to ensure a wise decision

    Keywords: Induction Motor, Fault Detection, Motor Vibration Signature Analysis, Outer Race Fault, Inner Race Fault, Fast Fourier Transform, Vibration Signal Spectrum
  • Ali Arshaghi*, Mohsen Ashourian, Leila Ghabeli Pages 83-98

    Various algorithms have proposed during the last decade for solving different complex optimization problems. The meta-heuristic algorithms have been highly noted among researchers. In this paper, a new algorithm, known as the Buzzards Optimization Algorithm (BUZOA), is introduced. Marvelous and special lifestyle of buzzards and their competition characteristics for prey has been the basic motivation for this new optimization algorithm. The algorithm performance has been compared with newest and well-known meta-heuristics on some benchmark problems and test functions. Results have shown the high performance of the proposed BUZOA compared to the other well known algorithms.

    Keywords: Buzzard Optimization Algorithm, Global Optimization, Benchmark, Bio Inspired Meta-Heuristic
  • Soufiane Lemdani*, Mohammed Laouer, Ahmed Allali Pages 99-106

    The Flexible AC Transmission System (FACTS) is a system for improving the operation of electrical power systems. It is very important to know that their implementation is very difficult and imposes a particular location that must be mandatory optimal. In this paper one of the heuristics methods based on genetics has been implemented for determining the optimal locations of FACTS devices in the electrical network. The standard 14-node IEEE network has been used for testing and validating the proposed method it in the MATLAB environment.

    Keywords: FACTS, Genetic Algorithm, Performance, Stability
  • Hossein Moradi*, Hossein Ebrahimpour Komleh Pages 107-116

    Optimization algorithms inspired by nature as intelligent optimization methods with classical methods have demonstrated significant success. Some of these te chniques are genetic algorithms, inspired by biological evolution of humans and other creatu res) ant colony optimization and s imulated annealing method (i nspired by the refrigeration process metals). The methods for solving optimization problems in many different areas such as determining the optimal course of their work, designing optimal control for industrial processes, solving industrial engineering major issues such as the optimal layout design for industrial units, problem solving, and queuing i n th e design of intelligent agents have been used. This paper introduces a new algorithm for optimization, which is not a natural phenomenon, but a phenomenon inspired teaching - human. It is entitled Education System algorithm (ESA). Results demonstrate this method is better than other method in this area

    Keywords: Education System Algorithm, Metaheuristic, Optimization, Evolutionary Algorithm
  • Shoorangiz Shams Shamsabad Farahani*, Alireza Siadatan Pages 117-125

    Brushless DC motors face many challenges and complexities which could be considered as sensor-based or sensorless schemes for detecting the position of the rotor, and end in a variety of results. A brushless DC motor sensorless control system is developed in this paper and a sensorless technique which is based on a hysteresis comparator and a potential start-up method with a high starting torque has been suggested. In addition, the phase delay of the back EMFs, in case of passing low-pass filters, could be compensated by the hysteresis comparator which prevents multiple output transitions from ripple or noise in the terminal voltage. The rotor position is aligned at standstill for maximum starting torque without additional sensors and motor parameter information. Where, by modulating the pulse width of the switching devices during alignment, the stator current could be easily adjusted. In this paper, the simulation and the experimental results has been provided for validating the proposed method.

    Keywords: Brushless DC Motor (BLDC), Hysteresis Comparator, Sensorless Control, Start-Up Technique. 1