Iranian Journal of Electrical and Electronic Engineering最新文献_第9页

Very Fast Load Flow Calculation Using Fast-Decoupled Reactive Power Compensation Method for Radial Active Distribution Networks in Smart Grid Environment Based on Zooming Algorithm 基于缩放算法的智能电网环境下径向有功配电网快速解耦无功补偿方法的快速潮流计算

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.412

O. Honarfar, A. Karimi

{"title":"Very Fast Load Flow Calculation Using Fast-Decoupled Reactive Power Compensation Method for Radial Active Distribution Networks in Smart Grid Environment Based on Zooming Algorithm","authors":"O. Honarfar, A. Karimi","doi":"10.22068/IJEEE.16.3.412","DOIUrl":"https://doi.org/10.22068/IJEEE.16.3.412","url":null,"abstract":"Distribution load flow (DLF) calculation is one of the most important tools in distribution networks. DLF tools must be able to perform fast calculations in real-time studies at the presence of distributed generators (DGs) in a smart grid environment even in conditions of change in the network topology. In this paper, a new method for DLF in radial active distribution networks is proposed. The method performs a very fast DLF using zooming algorithm associated with a fast-decoupled reactive power compensation (ZAFDRC) technique, not in all of the buses of the grid, causes to reduce the solution time, which is the most important issue in the real-time studies. The proposed method is based on the zooming algorithm and does not require to calculate the bus-injection to branch-current (BIBC) matrix which reduces the computational burden and helps to decrease the solution time. The method is tested on the IEEE 69-bus systems as a balanced network and the IEEE 123-bus as a very unbalanced system. The results confirm the high accuracy and high speed of the proposed method.","PeriodicalId":39055,"journal":{"name":"Iranian Journal of Electrical and Electronic Engineering","volume":"16 1","pages":"412-424"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45316282","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

Optimal Placement and Sizing of Multiple Renewable Distributed Generation Units Considering Load Variations Via Dragonfly Optimization Algorithm 基于Dragonfly优化算法的考虑负荷变化的多个可再生分布式发电机组的优化布置和规模

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.353

A. Boukaroura, L. Slimani, T. Bouktir

引用次数: 4

A New Approach for Voltage Balancing and Appropriate Power-Sharing in Autonomous Microgrids 自主微电网电压平衡与合理电力共享的新方法

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.269

M. Norianfar, S. Karimi, H. M. Cheshmehbeigi

引用次数: 1

Stochastic Joint Optimal Distributed Generation Scheduling and Distribution Feeder Reconfiguration of Microgrids Considering Uncertainties Modeled by Copula-Based Method 基于Copula方法的不确定微电网随机联合最优分布式发电调度和馈线重构

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.371

M. Khajevand, A. Fakharian, M. Sedighizadeh

{"title":"Stochastic Joint Optimal Distributed Generation Scheduling and Distribution Feeder Reconfiguration of Microgrids Considering Uncertainties Modeled by Copula-Based Method","authors":"M. Khajevand, A. Fakharian, M. Sedighizadeh","doi":"10.22068/IJEEE.16.3.371","DOIUrl":"https://doi.org/10.22068/IJEEE.16.3.371","url":null,"abstract":"Using distributed generations (DGs) with optimal scheduling and optimal distribution feeder reconfiguration (DFR) are two aspects that can improve efficiency as well as technical and economic features of microgrids (MGs). This work presents a stochastic copula scenario-based framework to jointly carry out optimal scheduling of DGs and DFR. This framework takes into account non-dispatchable and dispatchable DGs. In this paper, the dispatchable DG is a fuel cell unit and the non-dispatchable DGs with stochastic generation are wind turbines and photovoltaic cells. The uncertainties of wind turbine and photovoltaic generations, as well as electrical demand, are formulated by a copula-based method. The generation of scenarios is carried out by the scenario tree method and representative scenarios are nominated with scenario reduction techniques. To obtain a weighted solution among the various solutions made by several scenarios, the average stochastic output (ASO) index is used. The objective functions are minimization of the operational cost of the MG, minimization of active power loss, maximization of voltage stability index, and minimization of emissions. The best-compromised solution is then chosen by using the fuzzy technique. The capability of the proposed model is investigated on a 33-bus MG. The simulation results show the efficiency of the proposed model to optimize objective functions, while the constraints are satisfied.","PeriodicalId":39055,"journal":{"name":"Iranian Journal of Electrical and Electronic Engineering","volume":"16 1","pages":"371-392"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45119935","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: 3

Fault Location in Active Distribution Networks Using Improved Whale Optimization Algorithm 基于改进Whale优化算法的有源配电网故障定位

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.302

A. Bahmanyar, H. Borhani-Bahabadi, S. Jamali

{"title":"Fault Location in Active Distribution Networks Using Improved Whale Optimization Algorithm","authors":"A. Bahmanyar, H. Borhani-Bahabadi, S. Jamali","doi":"10.22068/IJEEE.16.3.302","DOIUrl":"https://doi.org/10.22068/IJEEE.16.3.302","url":null,"abstract":"To realize the self-healing concept of smart grids, an accurate and reliable fault locator is a prerequisite. This paper presents a new fault location method for active power distribution networks which is based on measured voltage sag and use of whale optimization algorithm (WOA). The fault induced voltage sag depends on the fault location and resistance. Therefore, the fault location can be found by investigation of voltage sags recorded throughout the distribution network. However, this approach requires a considerable effort to check all possible fault location and resistance values to find the correct solution. In this paper, an improved version of the WOA is proposed to find the fault location as an optimization problem. This optimization technique employs a number of agents (whales) to search for a bunch of fish in the optimal position, i.e. the fault location and its resistance. The method is applicable to different distribution network configurations. The accuracy of the method is verified by simulation tests on a distribution feeder and comparative analysis with two other deterministic methods reported in the literature. The simulation results indicate that the proposed optimized method gives more accurate and reliable results.","PeriodicalId":39055,"journal":{"name":"Iranian Journal of Electrical and Electronic Engineering","volume":"16 1","pages":"302-312"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46935859","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: 1

Increasing the Capacity and PSNR in Blind Watermarking Resist Against Cropping Attacks 提高盲水印抗裁剪攻击的容量和信噪比

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.259

A. Amiri, S. Mirzakuchaki

引用次数: 1

Optimization of Specific Power of Surface Mounted Axial Flux Permanent Magnet Brushless DC Motor for Electrical Vehicle Application 电动汽车用表面安装轴流永磁无刷直流电动机比功率的优化

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.363

A. N. Patel, B. Suthar

{"title":"Optimization of Specific Power of Surface Mounted Axial Flux Permanent Magnet Brushless DC Motor for Electrical Vehicle Application","authors":"A. N. Patel, B. Suthar","doi":"10.22068/IJEEE.16.3.363","DOIUrl":"https://doi.org/10.22068/IJEEE.16.3.363","url":null,"abstract":"Optimization of specific power of axial flux permanent magnet brushless DC (PMBLDC) motor based on genetic algorithm optimization technique for an electric vehicle application is presented. Double rotor sandwiched stator topology of axial flux permanent magnet brushless DC motor is selected considering its best suitability in electric vehicle applications. Rating of electric motor is determined based on vehicular dynamics and application needs. Double rotor sandwiched stator axial flux PMBLDC motor is designed considering various assumed design variables. Initially designed axial flux PMBLDC motor is considered as a reference motor for further analysis. Optimization of the specific power of electric motor for electric vehicle applications is a very important design issue. The Genetic Algorithm (GA) based optimization technique is proposed for optimization of specific power of axial flux permanent magnet brushless DC motor. Optimization with an objective of maximum specific power with the same torque rating is performed. Three-dimensional finite element analysis is performed to validate the proposed GA based specific power optimization. Close agreement between results obtained from finite element analysis and analytical design establishes the correctness of the proposed optimization technique. The performance of the improved motor is compared with the initially designed reference motor. It is analyzed that the specific power of axial flux PMBLDC motor is enhanced effectively with the application of GA based design optimization technique.","PeriodicalId":39055,"journal":{"name":"Iranian Journal of Electrical and Electronic Engineering","volume":"16 1","pages":"363-370"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49453946","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: 1

Optimal Multiple FCLs Allocation Considering DG Penetration in Meshed Network With Multi-Level Voltages 考虑DG渗透的多级电压网状网络中多个fcl的最优分配

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.336

M. Hosseinpour, J. Sadeh

引用次数: 2

Stochastic Optimal Scheduling of Microgrids Considering Demand Response and Commercial Parking Lot by AUGMECON Method AUGMECON方法在考虑需求响应和商业停车场的微电网随机优化调度中的应用

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-09-10 DOI: 10.22068/IJEEE.16.3.393

M. Sedighizadeh, S. M. Z. Alavi, A. Mohammadpour

{"title":"Stochastic Optimal Scheduling of Microgrids Considering Demand Response and Commercial Parking Lot by AUGMECON Method","authors":"M. Sedighizadeh, S. M. Z. Alavi, A. Mohammadpour","doi":"10.22068/IJEEE.16.3.393","DOIUrl":"https://doi.org/10.22068/IJEEE.16.3.393","url":null,"abstract":"Regarding the advances in technology and anxieties around high and growing prices of fossil fuels, government incentives increase to produce cleaner and sustainable energy through distributed generations. This makes trends in the using microgrids which consist of electric demands and different distributed generations and energy storage systems. The optimum operation of microgrids with considering demand-side management increases efficiency and reliability and maximize the advantages of using distributed generations. In this paper, the optimal operation scheduling and unit commitment of generation units installed in a microgrid are investigated. The microgrid consists of technologies based on natural gas that are microturbine and phosphoric acid fuel cell and technologies based on renewable energy, including wind turbine and photovoltaic unit along with battery energy storage system and plug-in electric vehicle commercial parking lot. The goal of the paper is to solve a multi-objective problem of maximizing revenues of microgrid operator and minimizing emissions. This paper uses an augmented epsilon constraint method for solving the multi-objective problem in a stochastic framework and also implements a fuzzy-based decision-maker for choosing the suitable optimal solution amid Pareto front solutions. This new model implements the three type of the price-based and incentive-based demand response program. It also considers the generation reserve in order to enhance the flexibility of operations. The presented model is tested on a microgrid and the results demonstrate the efficacy of the proposed model economically and environmentally compared to other methods.","PeriodicalId":39055,"journal":{"name":"Iranian Journal of Electrical and Electronic Engineering","volume":"16 1","pages":"393-411"},"PeriodicalIF":0.0,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43437936","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: 10

Biologically Inspired Four Elements Compact Antenna Arrays With Enhanced Sensitivity for Direction of Arrival Estimation 具有增强灵敏度的生物启发四元件紧凑天线阵列的到达方向估计

Iranian Journal of Electrical and Electronic Engineering Pub Date : 2020-06-10 DOI: 10.22068/IJEEE.16.2.130

A. Jelodar, M. Soleimani, S. Sedighy

引用次数: 1