Sümeyra Mustafaoğlu, H. Çiftçi, Beigin Emre Türkay
{"title":"Short Circuit Analysis in Grid Connected with High Penetration of PV Systems","authors":"Sümeyra Mustafaoğlu, H. Çiftçi, Beigin Emre Türkay","doi":"10.23919/ELECO47770.2019.8990580","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990580","url":null,"abstract":"One of the biggest problems encountered in Photovoltaic (PV) systems is to contribute to the fault current in case of failure. The fault current profile differs considerably from the system without the PV as the number of PV increases. Operation of the protection devices is also affected by this fault current change. In this paper, grid-connected solar energy system was designed in PSCAD program and the short current values given to the grid were examined. The contribution of the PV systems to the grid was examined for the fault condition. Both fault and normal cases were compared by the currents","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"38 1","pages":"992-996"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85373431","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}
Zeynep Ayan, Ziaoulrahman Sediqi, Abdulrahim Evli, M. C. Karakoç, Asaf Behzat Şahin, Ilyas Çankaya
{"title":"A Comparison of Binary Phase Shift Keying and On-Off Keying Modulation in High Data Rate Indoor Wireless Data Transmission at X-Band","authors":"Zeynep Ayan, Ziaoulrahman Sediqi, Abdulrahim Evli, M. C. Karakoç, Asaf Behzat Şahin, Ilyas Çankaya","doi":"10.23919/ELECO47770.2019.8990428","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990428","url":null,"abstract":"In the line with developing technologies, the demand for wireless communication is increased. In this study, it is purposed to realize a high data rate wireless communication system with different modulation techniques binary phase shift keying (BPSK) and on-off keying (OOK) modulations operating at X-band. Data transmission experiment has been conducted with a carrier frequency between 9 GHz and 12 GHz with different data rates up to 3.7 Gbit/s. Bandwidth efficient high data rate wireless communication is observed at X-band, compared to carrier frequency quite considerable data rate is achieved. The experiment is accomplished for the distance which is gradually increased from 5 cm to 160 cm between two antennas. Bit error rate measurements for OOK and BPSK modulations are provided, and also eye-diagram of BPSK modulation is demonstrated.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"36 1","pages":"718-721"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82171897","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}
{"title":"Finite Element Method Based Simulations of the Magnetic Fields Around the Overhead Transmission Line and Its Dosimetric Analysis","authors":"K. Ates, S. Ozen, H. F. Carlak","doi":"10.23919/eleco47770.2019.8990507","DOIUrl":"https://doi.org/10.23919/eleco47770.2019.8990507","url":null,"abstract":"In this paper, magnetic field exposure due to overhead transmission line to human body model has been evaluated as the simulation study. Simulations are implemented through COMSOL Multiphysics that is finite element method (FEM) based a commercial software. Human body has been modeled as a two layered cylinder. Upper layer of the cylinder has been indicated as an average skin tissue and the inner layer has been simulated as an average muscle tissue. Also, human head has been modeled and consisted of seven different layers such as skin, outer cortical bone, cancellous bone, inner cortical bone, cerebrospinal fluid (CSF), grey matter and white matter, respectively. Mentioned tissues have been modeled with realistic values at extremely low frequency (ELF) region. Magnetic flux density and induced current density for each tissue have been calculated. While 1474 mA/m2 have been observed as the maximum induced current density at the head model, 353.8 mA/m2 have been obtained at the body model for maximum induced current density value. Obtained results have been discussed in the light of the electromagnetics safety limits published by well-known international organizations.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"1 1","pages":"642-645"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82386666","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}
{"title":"Commensurate Evaluation of Support Vector Machine and Recurrent Neural Network MPPT Algorithm for a PV system under different weather conditions","authors":"M. Nkambule, Ali N. Hasan, Ahmed Ali","doi":"10.23919/ELECO47770.2019.8990468","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990468","url":null,"abstract":"The expeditious broadening of Photovoltaic (PV) energy has attracted the private and government precinct world-wide due to the reduction of costs and being cleaner source of energy. However, most of the maximum power point tracking (MPPT) controller are inefficient under rapid change of environmental conditions. Under partial shading conditions (PSC) MPPT controllers fail to track global maximum power point (GMPP). Therefore, it is essential to propose MPPT controller that will be able to locate GMPP. In this study, the two powerful machine learning and deep learning MPPT algorithms are used to force the PV system to operate at higher efficiency under sudden change in solar irradiance and temperature. Support Vector Machine (SVM) and Recurrent Neural Network (RNN) performances are validated and proved using MATLAB SIMULINK simulation software.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"90 1","pages":"329-335"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83890612","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}
{"title":"Power Quality Disturbance Classification Based on Using Root Sum Square","authors":"Hong-Rok Lim, Sang-Bong Lee, Jin-O Kim","doi":"10.23919/ELECO47770.2019.8990577","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990577","url":null,"abstract":"Voltage and current data obtained by power quality disturbances are used to protect the loads connected to the power system. In analyzing failure patterns based on the data, the accurate detection and classification of the power quality disturbance is important to solve the fundamental problem of disturbance occurrence. There are 8 types of general disturbance waveforms, which are modeled mathematically in the paper. 4 types preprocessing methods are applied to these waveforms to compare their performance. At this time, Root Sum Square (RSS) technology is proposed to increase the efficiency of preprocessing. The extracted feature data is used to determine the degree of classification using the dispersion and cohesion of distribution. The preprocessing technique that are suitable for the detection and classification of power quality disturbance are proposed.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"46 1","pages":"136-140"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89947197","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}
{"title":"Evaluation of Developments in Vehicle Active Suspension Actuators and Control Systems Based on Patent Information Analysis Approach","authors":"A. K. Doğueri, R. Nejat Tuncay, Özgür Üstün","doi":"10.23919/eleco47770.2019.8990442","DOIUrl":"https://doi.org/10.23919/eleco47770.2019.8990442","url":null,"abstract":"Patent information is the term given to the technical and legal information that can be found in patent documents. Using patent information can help make informed decisions when choosing strategies for researching or developing new products. Patent information can be used to find out what already exists and build on it, find technology and market trends as early as possible, and avoid infringing patent rights of competitors. In this paper, the developments in actuators and control systems used in vehicle active suspensions are investigated based on the statistics obtained from the Cooperative Patent Classification (CPC) scheme. This patent information-based study can be repeated for any technology or product.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"52 1","pages":"860-864"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90471532","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}
{"title":"A PID-Fuzzy Based Controller for Three-Phase Solar Network","authors":"Davood Ghaderi","doi":"10.23919/ELECO47770.2019.8990482","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990482","url":null,"abstract":"In this study, by considering the importance of the Renewable Energy Sources applications, especially photovoltaic panels, a PID-Fuzzy based controller in order to Maximize Power Point (MPP) of the inverters connected to the power network for the three-phase approach is designed. Solar arrays are connected to a three-phase network by a full -wave SCR thyristor inverter. Here, the gain of the PID controller is determined by the fuzzy controller performance and the thyristor’s fire angles are adjusted in a way that the three-phase solar network can operate at maximum power under any conditions. In this design, the solar arrays and the three-phase network by the MATLAB/Simulink have been simulated and the results are reported.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"14 1","pages":"323-328"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91525011","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}
Ozgur Aktekin, Gokhan Gumus, Cuneyt Haspolat, Mehmet Ali Ongun
{"title":"Average Consumption-Based Range Estimator Design for a Human-Electric Hybrid Vehicle","authors":"Ozgur Aktekin, Gokhan Gumus, Cuneyt Haspolat, Mehmet Ali Ongun","doi":"10.23919/ELECO47770.2019.8990651","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990651","url":null,"abstract":"Human Powered Vehicles (HPVs) are one of the evolving concepts for today’s urban transportation especially for the short distance daily usage. The major reasons behind this evolution are the advantages of HPV applications in the sense of price, efficiency and environmental concerns. However, range anxiety is one of the most significant barriers for its mass adoption by drivers. In this paper preliminary range estimation algorithm is developed for a HPV combined with electric motor via series-parallel powertrain which is named as Human Electric Hybrid (HEH) vehicle. The software architecture and mechanical overview of the powertrain components of the HEH vehicle are presented. The average-consumption-based range estimation algorithm is introduced and simulated for a daily urban drive cycle for several driving conditions. The results show that proposed algorithm provides approximate estimation of the remaining range for daily usage with limited information and without requiring additional devices.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"303 1","pages":"840-844"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77186776","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}
M. U. Soydemir, Savaş Şailin, Parvin Bulucu, A. Kocaoğlu, C. Güzelı̇ş
{"title":"Learning Feedback Linearization Based Stable Robust Adaptive NARMA Controller Design for Rotary Inverted Pendulum","authors":"M. U. Soydemir, Savaş Şailin, Parvin Bulucu, A. Kocaoğlu, C. Güzelı̇ş","doi":"10.23919/ELECO47770.2019.8990417","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990417","url":null,"abstract":"This paper presents a Learning Feedback Linearization (LFL) based Nonlinear Auto-Regressive Moving Average (NARMA) controller design for a ROTary inverted PENdulum (ROTPEN) plant. The proposed NARMA controller comprises of a linear controller and an LFL block. The LFL block concatenated with the nonlinear plant constitutes a linear closed loop system so that linear control is applicable. An online learning algorithm is used for the data-dependent identification of the linearized plant and then for the data-dependent design of the linear part of the NARMA controller. The identification of the linearized plant starts with the determination of the LFL block in a supervised way by exploiting the input and the corresponding state data obtained from the nonlinear plant. The linearized plant is then identified as an ARMA model by the data generated with the combination of the already learned LFL block and the nonlinear plant. Robustness of the linearized system model is obtained by employing the ε-insensitive loss function ℓ1, ε(•,•) as the identification error of the linearized system. The Schur stability of the overall closed loop system is ensured by the linear inequality constraints imposed in the minimization of the ℓ1, ε(•,•) tracking error for determining the linear controller parameters. The proposed LFL based NARMA controller is tested on ROTPEN model and its performance is compared with the Proportional-Derivative controller and Hammerstein based NARMA adaptive controller.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"68 1","pages":"795-799"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80632728","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}
{"title":"Development of an Adaptive Autonomous Emergency Braking System Based on Road Friction","authors":"Abdullah Omer Sevil, Mehmet Canevi, M. Soylemez","doi":"10.23919/ELECO47770.2019.8990620","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990620","url":null,"abstract":"An autonomous emergency braking (AEB) system is a driver assistance system that helps to avoid or mitigate the damages of rear-end collisions. This is achieved by alerting the driver through collision warnings to induce driver initiated braking. If the driver does not react to the warnings issued by the system, then the AEB system starts applying the brakes autonomously. Conventional AEB systems do not take into account the situations that affect the stopping distance such as tire/road friction coefficient and road slope. This paper presents an adaptive AEB system algorithm that adapts the timings of the collision warnings and emergency braking by taken into account the tire/road friction coeffi-cient. The proposed AEB algorithm incorporates wheel slip ratio based friction estimation into its decision making logic. Simulations revealed that the friction estimation is dependent on the vehicle mass and road slope. Due to this reason, mass and road slope estimation are also studied.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"11 1","pages":"815-819"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80405865","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}