فهرست مطالب

Majlesi Journal of Electrical Engineering - Volume:13 Issue: 4, 2020
  • Volume:13 Issue: 4, 2020
  • تاریخ انتشار: 1398/12/03
  • تعداد عناوین: 10
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  • Vahid Omrani, Mohammad Reza Ershadi*, Mohammad Hossein Ershadi Pages 1-5

    Dual input step-up Switched Capacitor Inductor (SCI) converters have been investigated in this paper. At first, the structure of this converter is reviewed and analyzed carefully. It has shown that besides capacitor and inductor, a small resonant inductor is also used in order to limit the current peak, which is caused by switched capacitor. Therefore, efficiency has been improved. In the proposed solution, fuzzy control method is used for controlling and switching the circuit. Simulation results have revealed that by using this method; the output waveforms are according to idealized ones while achieving a high voltage gained. In addition, by using such method, the output voltage ripple is significantly decreased.

    Keywords: Fuzzy Control, Dual Input Converter, Switched Capacitor Converter
  • Karvan Karimizadeh, Soodabeh Soleymani*, Faramarz Faghihi Pages 7-24

    The demand for energy is constantly increasing, which is pushing the limitations of the current grid, increasing reliance on fossil fuels, and increasing CO2 emissions. These concerns have renewed interest in discovering ways to reduce power demand on the grid through renewable energy. However, the distribution characteristics of renewable energy make it difficult to integrate effectively into the traditional power grid. As power networks increase in scale, the drawbacks of the conventional grid, such as high cost and difficult operation, will become more apparent, and it will no longer meet increasing safety, reliability, and diversity. Therefore, applying efficient methods for improving the performance of micro-grids is necessary. In this paper, the application of CRPSO algorithm based on the game theoretic formulation strategy for reducing the exchange of power between the macro station and micro-grids is proposed. The objective function of optimization involves minimizing the cost of power, loss, communication and load shedding. The advantages have caused the load of the micro-grids to be implemented as much as possible through the exchanges between the micro-grids and the cost of utilization and power supply of the loads to be minimized. Uncertainties in wind speed and solar radiation flux are also considered for the purpose of applying the random property of the distributed generation resources. The simulation results on the 33rd IEEE standard system in different scenarios indicate the desired performance of the proposed method.

    Keywords: Game Theoretic Coalition Formulation Strategy, Optimal Allocation of Dispersed Generation Resources, Uncertainty, CRPSO Algorithm, Micro Grid
  • Amir Hossein Zaeri, Aida Esmaeilian Marnani*, Samsul Bahari Mohd Noor Pages 25-37

    In this paper, a new control method is adopted based on merging multi-input Integral Sliding Mode Control with Boundary Layer (ISMC-BL), Model Predictive Control (MPC), and Fuzzy Logic Control (FLC). The aim of this merging is to take advantage of MPC ability to deals with constraints and to gain optimal solution. Moreover, FLC is considered in designing the sliding surface based on fuzzy rules and tracking error. This method is simulated on a nonlinear quadrotor helicopter model. The results have revealed that the proposed control approach, which is a multiinput Model Predictive Fuzzy Integral Sliding Mode Control with Boundary Layer (MPFISMC-BL), is a robust, stable, optimal, and intelligent control scheme. This finding could contribute to improve the control of similar systems.

    Keywords: Quadrotor Helicopter, Model Predictive Control, Sliding Mode Control, Fuzzy Logic Control
  • Fahimeh Aghaei, Avid Avokh* Pages 39-49

    Recently, cognitive radio technology is mentioned as a new model for wireless communication. In this paper, by extending the previous works, we adopt both multi-radio and multi-rate technologies in single-cell multi-channel cognitive radio wireless mesh networks. In this regard, an efficient scheduling algorithm is introduced named MultiRate Multicast Scheduling (MMS). Multi-radio technology allows the nodes to simultaneously send/receive packets on the distinct channels. Consequently, the network throughput will be increased. Furthermore, since different transmission rates lead to different spectrum utilizations, efficient use of the multi-rate capability could improve the performance of the network. Numerical results of presented comprehensive simulations confirm the efficiency of the MMS algorithm.

    Keywords: Cognitive Radio, Multi-radio, Multi-rate, Scheduling, Single-cell
  • A. Hameyrlaine*, H. Sayah, M. Boudiaf Pages 51-59

    Voltage Source Converter based High Voltage Direct Current (VSC-HVDC) has been an area of growing interest during the recent years. Indeed, VSC-HVDC has the capability of controlling the active power and the reactive power; rapidly, independently, and simultaneously. The main focus of this research is on VSC-HVDC system modeling; in which, two different controllers, such as the PI controller and the fuzzy logic controller, have been implanted in the system. Furthermore, these two controllers have been analyzed and compared to each other. Whereas, the main objective of the work presented in this paper is finding the more suitable controller which could allow improving the robustness of the whole control system and its impact on the dynamic performance of the VSC-HVDC during parameter uncertainties, such as load change, parametric variation, and faults occurrence. The obtained results have shown that using the fuzzy controller could lead to a better performance of the studied system, compared to the other controller.

    Keywords: VSC-HVDC, PI Controller, Modeling, Fuzzy Logic Controller, Robustness, Faults
  • Shiva Razzaghzadeh, Ahmad Habibizad Navin*, Amir Masoud Rahmani, Mehdi Hosseinzadeh Pages 61-71

    Expert Cloud is a new class of cloud computing which enables the users to achieve their requirements from a collection containing experts and skills created by the Human Resources (HRs). The acquisition of these skills and experts from this collection is possible by using the internet and cloud computing concepts without consideration of the HRs location. The load balancing in cloud computing means equal load distribution among resources, Virtual Human Resources (VHRs) and servers. The effective load distribution in a heterogeneous environment such as cloud is an important challenge. The increase in the number of users, the differences of request types and also different resources capabilities and capacities cause that some resources become overload and some others become idle. This paper presents a dynamic load balanced task scheduling algorithm in expert cloud. In this method, we utilize the Genetic Algorithm (GA) as a ranking for making distinction among the VHRs capabilities. In the proposed method, interval estimation and specification matrix are used to allocate the VHRs and also to determine the service rate. The load balancing and mapping process are modeled based on Simple Exponential Smoothing and Probability Theory. This statistical load balancing model allows allocating the VHRs based on service rate and Poisson model. Thus, each task is delivered to the VHR; which is capable to execute it. The simulation results have shown that the expert cloud could reduce the execution and tardiness time and improve VHR utilization. The cost of using resources as an effective factor is also observed.

    Keywords: Expert Cloud, Load Balancing, Interval Estimation, Statistical Load Balancing Model
  • Mohsen Eghbali, Sima Emadi* Pages 73-80

    By promoting service-oriented architecture in e-services of organizations and inter-organizational relationships, service quality is more focused. To provide high quality combined service, it is necessary to identify quality requirements of users and offer service in line with those. Service users tend to choose a combined service among the huge collection of available services based on the quality of service. In competition among rivals, service providers must customize features of service as one of the key strategies. Customization involves the combination of service features based on user requests, these strategies raise new problems on the expression and dissemination of quality information, service identification and setting qualitative offers to service users. In the previous methods, pre-processing step was not performed in the services set, and false service suggestions to the user were possible. In this study, nearest neighbor algorithm is offered for identifying consumers and customize their quality of service. In addition, Isodata has been used to cluster and filter the services. At the end, a case study is presented to illustrate the proposed method. The results of the evaluation have shown that the proposed method has tried to solve the existing shortcomings.

    Keywords: : Service Selection, Access Control based on The Features, Service Quality Model, Customization of Services Features
  • Suman Pandey, Mi Jung Choi, Soyoung Park* Pages 81-87

    OTT users has gained momentum through the evolution of low cost smart TV and other consumer electronic, open nature of Internet, and ever growing contents. Among consumer electronics, Smart TV with Web 2.0 features integration has given OTT service a wider range of audience through bigger screen. This has replaced broadcast TV, cable TV and IPTV models. Motivated by this scenario of OTT services, we studied standardization activities of different key players including Content Providers (CP), Cloud/Content Distribution Network (CDN), Consumer Electronics (CE) and Internet Service Provider (ISPs) in TV market space. We have summarized several key challenges for OTT services from ISPs point of view for ex, single sign on for multiple OTT, scalability, heavy tail content availability, live TV etc. We also analyzed the suitability of the next-generation Internet architectures, in particular, Content-Centric Networking (CCN), Open Cache and Multicast Adaptive Bitrate (mABR) for OTT service delivery from ISP point of view.

    Keywords: Smart TV, HbbTV, CCN, Future Internet
  • Majid Moazzami*, Hassan Fayazi, Bahador Fani, Shadi Jalali, Ghazanfar Shahgholian Pages 89-98

    In this paper, the concept of simultaneous tuning of static synchronous series compensators and multi-band power system stabilizers for damping out sub-synchronous resonances in a series compensated power system is presented. To achieve an effective damping effect, a supplementary sub-synchronous damping controller is added to the static synchronous series compensator. The teaching-learning-based optimization algorithm is employed for the simultaneous adjustment of the parameters of both the supplementary sub-synchronous damping controller and the power system stabilizer. The proposed method is executed on the IEEE Benchmark system and simulation results are provided to verify its capability in removing sub-synchronous resonances and maintaining the stability of the underlying system.

    Keywords: Sub-Synchronous Resonances, Static Synchronous Series Compensators, Teaching-Learning-Based Optimization Algorithm, Power System Stabilizer
  • Azam Mohammadi, Farhad Navabifar* Pages 111-121

    Manipulating digital images is not often a difficult task due to the rapid development of software and image manipulation techniques. Hence, there is no need for professional skills or training. When used as an artistic tool, it is completely harmless, but when these images can be presented in judicial system as evidence or for the creation of political associations, as well as, using them in legal documents, electronic money circulation or press; in these cases, the distinction between an original image and a forgery image is very important. In order to solve the problem in this research using a Discrete Wavelet Transform (DWT), which is performed by decomposing a signal into smaller and smaller details, as well as, the use of periodic patterns in the histogram generated by double compression with different coefficients, significant improvements were made in terms of reducing computations and increasing the detection rate of forging areas. Many of the proposed methods for detecting image forgery use a feature extraction model from a valid and manipulated dataset and then classify them using machine learning with the aim of optimizing the accuracy. In this research, following the extraction of features in the proposed method, using the SVM classification identifies image forgery and then identifies the forging area after it detects the falsification or originality of the image. The results of this study indicate 97.98% accuracy in the Columbia database and 98.1% in the IFS-TC database.

    Keywords: Image Manipulation, Discrete Wavelet, Histogram, JPEG Image, Support Vector Machine