Majlesi Journal of Electrical Engineering最新文献_第2页

Improving Electricity Theft Detection using Combination of Improved Crow Search Algorithm and Support Vector Machine 基于改进乌鸦搜索算法和支持向量机的窃电检测改进

Majlesi Journal of Electrical Engineering Pub Date : 2021-12-01 DOI: 10.52547/mjee.15.4.63

Hassan Ghaedi, Seyed Reza Kamel Tabbakh, R. Ghaemi

引用次数: 0

An Extensive Study on Online, Offline and Hybrid MPPT Algorithms for Photovoltaic Systems 光伏系统在线、离线及混合MPPT算法的广泛研究

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-23 DOI: 10.52547/mjee.15.3.1

Meganathan Padmanaban, Sasi Chinnathambi, P. Parthasarathy, Nammalvar Pachaivannan

{"title":"An Extensive Study on Online, Offline and Hybrid MPPT Algorithms for Photovoltaic Systems","authors":"Meganathan Padmanaban, Sasi Chinnathambi, P. Parthasarathy, Nammalvar Pachaivannan","doi":"10.52547/mjee.15.3.1","DOIUrl":"https://doi.org/10.52547/mjee.15.3.1","url":null,"abstract":"To moderate global warming, conventional fossil fuels are depleted. As the population increased with the rising standard of living and industrial growth, the global environment is affected and cause the greenhouse gases occurrence, which are frequently increased by unlimited use of fossil fuels. The generation of electric power loads increases the power demand on the basics of modern power technology development. Several benefits can be attained by installing the distribution generation with the quality and reliability of power delivered. However, the global energy problem can be resolved by renewable energy sources as an alternative energy generation. Technological developments in the last decade have increased the use of renewable energy sources. In worldwide, several renewable energy sources are used to attain their own power demand. The photovoltaic (PV) generation is the essential renewable energy source to serve the increasing electrical loads. The fastest-growing PV system has the naturally available energy sources of robust evolution with elegant benefits. The foremost objective of this paper is to examine the performance of the PV system with various Maximum Power Point Tracking (MPPT) algorithms. The solar irradiance and temperature make it complex to track the MPPT of PV systems. This review is about various MPPT algorithms like online, offline, and hybrid methods. The selected algorithms from each discussion are simulated in MATLAB/Simulink environment to match their performance in footings of the dynamic response and efficiency of the PV system under the variations of solar irradiance and temperature. An explanation and discussion of the PV system are achieved with the study of different types of MPPT algorithms of PV systems.","PeriodicalId":37804,"journal":{"name":"Majlesi Journal of Electrical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42619460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing 自适应工作流调度提高云计算容错能力

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.25

Abdolreza Pirhoseinlo, Nafiseh Osati Eraghi, Javad Akbari Torkestani

{"title":"Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing","authors":"Abdolreza Pirhoseinlo, Nafiseh Osati Eraghi, Javad Akbari Torkestani","doi":"10.52547/mjee.15.3.25","DOIUrl":"https://doi.org/10.52547/mjee.15.3.25","url":null,"abstract":": Cloud computing in the field of high-performance distributed computing has emerged as a new development in which the demand for access to resources via the Internet is presented in distributed servers that dynamically scale are acceptable. One of the important research issues that must be considered to achieve efficient performance is fault tolerance. Fault tolerance is a way to find faults and failures in a system. Predicting and reducing errors play an important role in increasing the performance and popularity of cloud computing. In this study, an adaptive workflow scheduling approach is presented to increase fault tolerance in cloud computing. The present approach calculates the probability of failure for each resource according to the execution time of tasks on the resources. In the present method, a deadline is set for each of the tasks. If the task is not completed within the specified time, the probability of failure in the source increases and subsequent tasks are not sent to the desired source. The simulation results of the proposed method show that the proposed idea can work well on workflows and improve service quality factors.","PeriodicalId":37804,"journal":{"name":"Majlesi Journal of Electrical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43033160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A QoS Optimization Technique with Deep Reinforcement Learning in SDN-Based IoT 基于sdn的物联网中深度强化学习的QoS优化技术

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.105

M. Moslehi, Hossei Ebrahimpor-Komleh, Salman Goli, Reza Taji

引用次数: 2

An Experimental Study Followed by a Development and a Comparison of Regression Models for Predicting TJ Electric Discharge in Insulators 绝缘子TJ放电预测回归模型的实验研究、发展与比较

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.45

Nabila Saim, F. Bitam-Megherbi

{"title":"An Experimental Study Followed by a Development and a Comparison of Regression Models for Predicting TJ Electric Discharge in Insulators","authors":"Nabila Saim, F. Bitam-Megherbi","doi":"10.52547/mjee.15.3.45","DOIUrl":"https://doi.org/10.52547/mjee.15.3.45","url":null,"abstract":": Analyzes of electric discharge are sometimes tedious and relatively expensive. To overcome this problem, some scientists are working on variance analysis projects. The article presents the results of an electric discharge experiment performed on silicone, porcelain and heat tempered glass insulators at Triple Junction (TJ). The objective of this study is to develop a polynomial and Gaussian simple regression model (Polynomial Simple Linear Regression (SLR) model and Gaussian simple nonlinear regression model) considering different parameters by analyzing the observed quantitative data. The dependent variable or variable to be explained (discharge current) is a function of four independent variables (explanatory variables): voltage application time ( t ), solid insulator surface condition: net surface ( t’ ), worn rubbed surface with sandpaper ( t’’ ) and active electrode diameter ( diam ). Indeed, this study sets up precise prediction models generating good estimates of the studied variables values. A polynomial SLR model is proposed capable of predicting electric discharge with an adjusted coefficient of determination ( R 2 adj ) of 0.9774 for t and t’ , 0.9773 for t\" and 0.9945 for diam . While ( R 2 adj ) for the Gaussian model reaches 0.9989 for t and t’ , 0.9998 for t’’ . By considering this, these models are strongly recommended to better understand and characterize the discharge and contribute to the improvement of the insulation and its design for better optimization and high performance.","PeriodicalId":37804,"journal":{"name":"Majlesi Journal of Electrical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48566020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pareto Local Search Function for Optimal Placement of DG and Capacitors Banks in Distribution Systems 配电系统DG和电容器组优化布置的Pareto局部搜索函数

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.81

A. Sadighmanesh, M. Sabahi, M. Zavvari

{"title":"Pareto Local Search Function for Optimal Placement of DG and Capacitors Banks in Distribution Systems","authors":"A. Sadighmanesh, M. Sabahi, M. Zavvari","doi":"10.52547/mjee.15.3.81","DOIUrl":"https://doi.org/10.52547/mjee.15.3.81","url":null,"abstract":": DGs and capacitor banks are installed to optimize the performance of many distribution networks. Typically, the problem of optimizing the overall performance of the distribution network is examined with multi-objective purposes. Network optimization purposes are usually varied and sometimes contradictory. Therefore, the problem search space is very large due to the variety of purposes. This paper presents a modified Pareto local search function for optimal placement of DGs and capacitor banks. To limit the search space and find Pareto points, a new combination method including Pareto chart and a weight function has been used. The optimal operation of the distribution network is performed by three single objective functions related to the voltage stability index, voltage profile of buses and power loss. In this method, a modified per-unit system is presented to align single objective functions and their weighting coefficients. The network is studied with three different loads. So that, the network is examined in the final stage by increasing the load and reaching bus voltage stability margins. The particle swarm optimization method is applied to solving placement problems. In addition, locating and sizing DG and capacitor banks, tap setting of on load tap changer transformer is adjusted by the proposed method. To show the effectiveness of the purposed method, simulations are applied to 69 bus radial system. The results indicated the favorable advantage of the proposed method to improve the overall performance of the distribution network.","PeriodicalId":37804,"journal":{"name":"Majlesi Journal of Electrical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47611757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating Bias of DCFT, DPT and Promoted DPT Methods in terms of Phase Parameters Estimation of Chirp Signal 在啁啾信号相位参数估计方面，研究了DCFT、DPT和改进DPT方法的偏差

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.35

Nooshin Rabiee, Hamid Aazad, N. Parhizgar

引用次数: 0

Underwater Target Localization using the Generalized Lloyd-Mirror Pattern 基于广义Lloyd-Mirror模式的水下目标定位

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.17

Mojgan Mirzaei Hotkani, S. Seyedin, Jean-François Bousquet

引用次数: 0

An Enhanced Hybrid Method based on Local and Frequency Feature Extraction for Image Copy Move Forgery Detection 基于局部特征和频率特征提取的图像拷贝移动伪造检测增强混合方法

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.69

Shirin Nayerdinzadeh, M. R. Yousefi

{"title":"An Enhanced Hybrid Method based on Local and Frequency Feature Extraction for Image Copy Move Forgery Detection","authors":"Shirin Nayerdinzadeh, M. R. Yousefi","doi":"10.52547/mjee.15.3.69","DOIUrl":"https://doi.org/10.52547/mjee.15.3.69","url":null,"abstract":": Today, due to the advent of the powerful photo editing software packages, it has become relatively easy to create forgery images. Recognizing the correctness of digital images becomes important when those images are used as evidence in legal, forensic, industrial, and military applications. One of the most common ways to forge images is copy move forgery, in which one part of the image is copied and pasted in another part of the same image. So far, various methods have been proposed for detecting copy move forgery, but these methods are not able to detect copy move forgery with different challenges of noise, rotation, scale, and detection of symmetrical images with high accuracy. In this paper, an enhanced hybrid method based on local and frequency feature extraction is presented for image copy move forgery detection, which has a very high resistance to above challenges, both individually and simultaneously and has provided good identification accuracy. In this method, the combination of Discrete Wavelet Transform, Scale Invariant Feature Transform and Local Binary Pattern are used simultaneously. The forged area is chosen in such a way that at least both methods used in this proposed method have consensus about the forgery of that area. Various experiments and analyses on the MICC database show that the proposed methods, despite the above challenges, have reached the accuracy of 98.81% both separately and simultaneously, which shows significant improvement compared to other methods used in this field.","PeriodicalId":37804,"journal":{"name":"Majlesi Journal of Electrical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46421826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Water Distribution and the Impact of Relative Humidity in a PEMFC Energy System using Macroscopic Energy Representation by Inversion Control 利用反演控制的宏观能量表示法研究PEMFC能源系统中水的分布和相对湿度的影响

Majlesi Journal of Electrical Engineering Pub Date : 2021-09-15 DOI: 10.52547/mjee.15.3.57

Farid Saadaoui, Khaled Mammar, Abdaldjabar Hazzab

引用次数: 1