Majlesi Journal of Electrical Engineering <p>The scope of MJEE is ranging from mathematical foundation to practical engineering design in all areas of electrical engineering. The editorial board is international and original unpublished papers are welcome. The journal is devoted primarily to research papers, but very high quality survey and tutorial papers are also published. There is no publication charges for authors.</p> Majlesi Branch, Islamic Azad University en-US Majlesi Journal of Electrical Engineering 2345-377X Interline Power Flow Controller (IPFC) Characterization in Power Systems <p class="abstract" style="line-height: normal;">Flexible AC Transmission Systems (FACTS) have been proposed in the late 1980s to meet and provide the electrical power system requirements. FACTS are used to control the power flow and to improve the power system stability. Interline power flow controller (IPFC) is a versatile device in the FACTS family of controllers and one of its latest generations which has the ability 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. An introduction supported with brief review on IPFC, IPFC principle of operation and IPFC mathematical model are also introduced. IEEE 14-bus and 30-bus systems have been chosen as a test power systems to support the behavior study of power system equipped with IPFC device. Three different locations have been chosen to do an effective performance analysis&nbsp; between a variety of system configurations..</p> Nabil Ahmed Hussein Ayman Eisa Hassan Mahmoud Safey Shehata El-Saeed Othman ##submission.copyrightStatement## 2019-02-02 2019-02-02 13 3 Load Modeling based on Real Data applying PSO Algorithm <p>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 measurement equipment located in substations with PSO algorithm. In the proposed method, to enhance the accuracy of the load model, some constraints are applied to remove the undesirable measured data. These constraints are applicable for any time periods such as hourly, daily, seasonally and annual. 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 show that, the proposed method has an acceptable accuracy for load modeling in comparison with real model of the case study systems.</p> Ali Rostami afshar bali hamdi abdi shahram karimi ##submission.copyrightStatement## 2019-02-02 2019-02-02 13 3 Intelligence Indirect Vector Control of a DFIG based Wind Turbines <p><strong>Abstract:</strong></p> <p>An intelligence indirect vector control (IVC) of a doubly fed induction generator (DFIG) 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. Here, 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 the command pulses for the five-level inverter. Then the proposed intelligence strategy is implemented in the MATLAB/Simulink platform and the effectiveness is analysed by comparing with the different tests. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.</p> Habib BENBOUHENNI ##submission.copyrightStatement## 2019-03-01 2019-03-01 13 3 Statistical and Machine Learning Technique to Detect and Classify Shunt Faults in a UPFC Compensated Transmission Line <p>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 is minimized using the statistical method. Generated features are used to train 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 modes of UPFC, and different compensation levels, wherein all the cases, the performance is found reliable.</p> Bhupendra Kumar Anamika Yadav ##submission.copyrightStatement## 2019-03-01 2019-03-01 13 3 Performance Analysis of High Speed Radix-4 Booth Encoders in CMOS Technology <p class="MJEE-Abstract">This review paper deals with the performance analysis of the best reported 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 will be discussed. Then the modifications which led to the circuit level implementations along with the complete and comparative analysis for the selected works will be provided. Simulations using HSPICE for TSMC 0.18µm CMOS technology and 1.8V power supply are provided for better comparison of these works. Considering the needed optimizations applied to the mentioned works, it becomes clear 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 was 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.</p> Nader Sharifi Gharabaghlo Tohid Moradi Khaneshan ##submission.copyrightStatement## 2019-03-12 2019-03-12 13 3 Backstepping Fault Tolerant Control for Double Star Induction Machine under Broken Rotor Bars <p>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. To demonstrate the performance and effectiveness of the proposed controller, a comparative study is made between the proposed FTC and sliding mode control (SMC). 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.</p> Noureddine LAYADI Samir Zeghlache Ali Djerioui Hemza Mekki Fouad Berrabah Azeddine Houari Mohamed-Fouad Benkhoris ##submission.copyrightStatement## 2019-04-02 2019-04-02 13 3 Vibration Suppression of a Micropipe Conveying Fluid via Sliding Mode Technique <p>In this article, derivation of a nonlinear model for a micropipe conveying fluid which is excited with a piezoelectric actuator as well as studynig the control of this system. The governing equations are derived using Hamilton’s principle. The difference between the equations in micro-scales and macro-scales is stablished using modified couple stress theory. The nonlinear terms of equations also arise from mid-plane stretching. After this derivation, a frequency analysis is done on the model. In addition, the effective parameters on the peak value of the response are also studied. Finally a sliding mode controller is designed for the input voltage of the system. Using this type of controller, it has been observed that the behavior of the system can be improved impressively.</p> zahra Jafari Shahbazzadeh ##submission.copyrightStatement## 2019-03-16 2019-03-16 13 3 Detailed Study of Rolling Bearing Element Faults in Rotating Electrical Machines using MVSA Technique <p>This paper presents the mechanical fault detection in squirrel cage induction motors (SCIMs). In this study, the rolling bearing element (RBE) faults in SCIM are diagnosed. Rolling bearing element faults are the major problem among different faults, which cause catastrophic damage to rotating machinery. So, early detection of the RBE faults in SCIMs is a very important step. Vibration analysis is one of the key words of the mechanical vibrations for rotating electrical machines. 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 paper 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.</p> Noureddine Bessous Salim Sbaa Radouane Bousseksou Abdelkrim Allag ##submission.copyrightStatement## 2019-04-08 2019-04-08 13 3 Buzzard Optimization Algorithm: A Nature-Inspired Metaheuristic Algorithm <p>Various algorithms have been presented during the past decade to solve different complex optimization problems of science and industrial. The meta-heuristic algorithms have high noted among scientific and researchers. Hence, these algorithms have been progressed and outspread in the last years. Many of these algorithms are inspired from nature with various conditions. In this paper, a new algorithm based on initial population, the Buzzards Optimization Algorithm (BUZOA), is introduced. Special and marvelous lifestyle of buzzards and their competition characteristics for prey have been the basic motivation for initialized of this new optimization algorithm. Solution of this algorithm has been compared with the newest and well-known meta-heuristics and some benchmark problems, test functions. Results show the best performance of BUZOA algorithm compared to the other algorithms mentioned in this paper and runtime program is fast.</p> Ali Arshaghi Mohsen Ashourian Leila Ghabeli ##submission.copyrightStatement## 2019-08-26 2019-08-26 13 3 Optimal Location and Parameter Setting of FACTS Devices to improve the Performance of Power System Using Genetic Algorithm Technique <p>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 we will implement one of the heuristics methods based on genetics to determine the optimal locations of FACTS devices in the electrical network. We will use the standard 14-node IEEE network to test our method to validate it in the Matlab environment.</p> <p>&nbsp;</p> soufiane soufiane lemdani mohammed laouer ahmed allali ahmed allali ##submission.copyrightStatement## 2019-04-10 2019-04-10 13 3 Education System Search: a new population-based metaheuristic optimization algorithm <p>Optimization algorithms inspired by nature as intelligent optimization methods with classical methods have demonstrated significant success. Some of these techniques are genetic algorithms [1] (inspired by biological evolution of humans and other creatures) ant colony optimization [2], and simulated annealing method [3] (inspired 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 in the design of intelligent agents have been used. This paper introduces a new algorithm for optimization witch is not a natural phenomenon but a phenomenon inspired teaching-human. It is entitled Education System algorithm (ESA). &nbsp;&nbsp;Results demonstrate this method is better than other method in this area.</p> Hossein Moradi Hossein Ebrahimpour-Komleh ##submission.copyrightStatement## 2019-04-10 2019-04-10 13 3 Design and Construction of a Sensorless Drive for BLDC Motor Based on Hysteresis Comparator Estimation Method <p>Brushless dc motors face many challenges and complexities which can be considered as sensored or sensorless schemes to detect 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 is suggested. Also, the phase delay of the back EMFs in case of passing low-pass filters can 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, and by modulating the pulse width of the switching devices during alignment, the stator current can be easily adjusted. In this paper, lab consequences are provided to verify the performance of the Brushless dc motor.</p> shoorangiz shams shamsabad Farahani Alireza Siadatan ##submission.copyrightStatement## 2019-06-30 2019-06-30 13 3