Cenk Gezegin

@omu.edu.tr

Electrical Electronics Engineering
Ondokuz Mayıs Üniversitesi Elektrik Elektronik Mühendisliği

Cenk Gezegin


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RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
14

Scopus Publications

818

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • Conducted Emission Study of a Grid-Connected Single-Phase Bidirectional AC–DC Converter for Grid to Vehicle Applications
    Nur Sarma, Secil Genc, Burcu Mantar Gundogdu, Kubra Nur Akpinar, Cenk Gezegin, Okan Ozgonenel
    IEEE Transactions on Electromagnetic Compatibility, 2025
    The electricity demand associated with charging electric vehicles (EVs) is significant and is rapidly expanding in terms of quantity, power capacity requirements, and waveform distortion. This growth is particularly critical regarding deploying EV charging infrastructure on the public low-voltage distribution networks, where the available short-circuit power may be limited, creating a risk of sensitive load coinciding within the same area of the grid. The current standards address these issues but predominantly focus on a certain frequency range; therefore, the high-frequency range needs extension and improvement. This article proposes a modeling technique for predicting the effects of conducted emissions (CEs) caused by a single-phase AC–DC converter for a grid-to-vehicle application within a single-phase system. This work includes a measurement design technique and exhibiting standard limits for conducted noise-separated signals into common mode and differential mode components while presenting a comprehensive investigation of the electromagnetic compatibility issues for a grid-connected, bidirectional converter operating at 4.4 kW and 18 kHz switching frequency. For the investigation, the converter is modelled in MATLAB/Simulink, and a statistical approach in Minitab software is also used to evaluate the circuit and frequency domain data. The developed model is also used to investigate the impact of a battery’s state of charge on CEs. The presented results show that the proposed emission standards are exceeded by a bidirectional converter under nonlinear load conditions.
  • Modeling and implementation of demand-side energy management system
    Abdulkadir GOZUOGLU
    Sigma Journal of Engineering and Natural Sciences, 2024
    In recent years, Internet of Things (IoT) applications have become across-the-board and are used by most smart device users. Wired Communication, Bluetooth, radio frequency (RF), RS485/Modbus, and zonal intercommunication global standard (ZigBee) can be used as IoT communication methods. The low delay times and ability to control homes from outside the building via the Internet are the main reasons wireless fidelity (Wi-Fi) communication is preferred. Commercially produced devices generally use their unique interfaces. The devices do not allow integration to form an intelligent home automation and demand-side energy management system. In addition, the high cost of most commercial products creates barriers for users. In this study, a local home automation server (LHAS) was created subject to low cost. Smart devices connected to the server through a Wi-Fi network were designed and implemented. The primary purpose of the design is to create an IoT network to form an LHAS. The IoT network will learn the energy consumption behavior of users for future Smart Grids. The designed intelligent devices can provide all the necessary measurements and control of houses. The open-source software Home Assistant (Hassio) was used to create the LHAS. Espressif systems (ESP) series microcontrollers (µCs) were chosen to design intelligent devices. ESP-01, NodeMCU, and ESP-32, the most widely used ESP models, were preferred. A convolutional neural network (CNN)/long short-term memory (LSTM) neural network was designed, and analysis was performed to learn the consumption behavior of residential users.
  • CNN-LSTM based deep learning application on Jetson Nano: Estimating electrical energy consumption for future smart homes
    Abdulkadir Gozuoglu, Okan Ozgonenel, Cenk Gezegin
    Internet of Things Netherlands, 2024
  • Feasibility investigation and economic analysis of photovoltaic, wind and biomass hybrid systems for rural electrification in Afghanistan
    Shir Ahmad Dost Mohammadi, Cenk Gezegin
    Electrical Engineering, 2024
  • Design and Implementation of Controller Boards to Monitor and Control Home Appliances for Future Smart Homes
    Abdulkadir Gozuoglu, Okan Ozgonenel, Cenk Gezegin
    IEEE Transactions on Industrial Informatics, 2024
    Internet of Things (IoT) applications have become popular and are used in innovative device applications. Although radio frequency communication methods, including Bluetooth, zonal intercommunication global standards such as ZigBee, and wireless fidelity (Wi-Fi) and wired communication such as RS485/Modbus, can be used in IoT networks, Wi-Fi is preferred by users due to its ability to connect to the internet and allow users to control devices from anywhere in the world. In addition, numerous do-it-yourself and low-cost solutions have been presented for intelligent home applications in recent decades. However, many solutions use proprietary communication protocols that are not standards-based, so integrating a standardized local home automation server is difficult. We proposed a design based on low-cost Wi-Fi-based IoT-capable control boards that communicate with an IoT network of standard home automation servers and commercial intelligent home devices. The primary focus of the proposed system is to implement control boards for IoT applications by using Espressif systems series microcontrollers that can run in any IoT network used for home automation. Converting traditional houses into smart homes will support demand-side energy management applications in future smart grids and allow customers to use low-cost energy.
  • Power Quality Investigation of a Grid-Connected Single-Phase Bidirectional AC/DC for Electric Vehicle Applications
    Secil Genc, Cenk Gezegin, Okan Ozgonenel, Kubra Nur Akpinar, Burcu Gundogdu, Nur Sarma
    12th International Conference on Smart Grid Icsmartgrid 2024, 2024
    The number of electric vehicles (EVs) is growing rapidly in almost all countries, and as a result, the power consumption to charge EVs is also sharply increasing. The characteristics of EV charging are extremely variable, which creates negative impacts, including overloading, stability problems, and power quality problems for other users connected to the same distribution network. Therefore, it is important to ensure power quality and grid stability, which can only be obtained through a better understanding of grid behaviors. Recently, power quality studies have redirected their attention to a particular frequency range that was previously overlooked—the supra-harmonic range of 2 kHz to 150 kHz. Unlike the easily identifiable harmonic components of the 50 Hz to 60 Hz mains fundamental, this range comprises a mix of intentional emissions, switching non-linearities, byproducts, and different resonances. Therefore, this paper presents a model study of a grid-connected single-phase bidirectional AC/DC converter for EV applications to investigate power quality issues from 2 kHz to 150 kHz. For the investigation, the converter was modeled in the MATLAB/Simulink environment, which was then used to evaluate conducted emissions caused by the high switching frequency. The operating conditions of 4.4 kW and 18 kHz switching frequency were simulated, and noise-separated signals into differential and common modes were measured. The frequency domain results demonstrate that higher frequency emissions penetrate noise due to the high switching frequency in bidirectional converters.
  • Enhancement of Power Quality in Power Distribution Systems Using FC - TCR Based Compensation Systems
    Okan Ozgonenel, Secil Genc, Cenk Gezegin
    Journal of Engineering Research Kuwait, 2023
    The development of modern electronic systems and increasing number of application areas (computers, office equipment, rectifiers, converters, speed control devices, uninterruptible power supplies, switched power supplies) has led to harmonic generation and reduced energy efficiency. The majority of loads are inductive in nature and the draw of reactive power has increased in networks and transmission lines resulting in problems with power quality. In addition to efficient power flow in transmission systems, there is also a need to compensate for the reactive power flow in order the meet the requirements of the load and system. As an alternative to traditional solutions, FACTS (Flexible Alternating Current Transmission Systems) has been developed in order to operate electrical systems efficiently and improve stability and power quality. Technological applications such as SVC, STATCOM, SSSC and active harmonic filter are becoming widespread in order to improve power quality. In this study, applications within the scope of FACTS systems are explained and analysis of a fixed capacitor-thyristor controlled reactor (FC-TCR) to improve power factor is discussed. A circuit model of the FC-TCR is developed as a simulation and used to investigate how power factor may be kept within desired limits by adjusting the firing angle of the thyristors under different load conditions.  A comparative evaluation has been carried out to determine the effect of FC-TCR by presenting results before and after the load compensation process is applied. From the simulation it is observed that reactive power compensation can be achieved even for varying linear loads.
  • Short term load forecasting based on ARIMA and ANN approaches
    Chafak Tarmanini, Nur Sarma, Cenk Gezegin, Okan Ozgonenel
    Energy Reports, 2023
    Forecasting electricity demand requires accurate and sustainable data acquisition systems which rely on smart grid systems. To predict the demand expected by the grid, many smart meters are required to collect sufficient data. However, the problem is multi-dimensional and simple power aggregation techniques may fail to capture the relational similarities between the various types of users. Therefore, accurate forecasting of energy demand plays a key role in planning, setting up, and implementing networks for the renewable energy systems, and continuously providing energy to consumers. This is also a key element for planning the requirement for storage devices and their storage capacity. Additionally, errors in hour-to-hour forecasting may cause considerable economic and consumer losses. This paper aims to address the knowledge gap in techniques based on machine learning (ML) for predicting load by using two forecasting methods: Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN); and compares the performance of both methods using Mean Absolute Percentage Error (MAPE). The study is based on daily real load electricity data for 709 individual households were randomly chosen over an 18-month period in Ireland. The results reveal that the (ANN) offers better results than ARIMA for the non-linear load data.
  • Reactive power compensation with hybrid compensator combining a synchronous motor and switched capacitors
    Hasan DİRİK, Cenk GEZEGİN, Hasan Serdar DİRİK
    Electric Power Systems Research, 2023
  • An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: A battery cycle life approach
    Kubra Nur Akpinar, Burcu Gundogdu, Okan Ozgonenel, Cenk Gezegin
    Electric Power Systems Research, 2023
  • Suppression of Conducted Emissions in Three-Phase Adjustable Drive Systems
    Secil Genc, Nur Sarma, Burcu Gundogdu, Okan Ozgonenel, Cenk Gezegin, Umit Kemalettin Terzi
    14th International Conference on Electrical and Electronics Engineering Eleco 2023 Proceedings, 2023
  • A Monitoring Method for Average Winding and Hot-Spot Temperatures of Single-Phase, Oil-Immersed Transformers
    Cenk Gezegin, Okan Ozgonenel, Hasan Dirik
    IEEE Transactions on Power Delivery, 2021
  • A Computation and Metering Method for Harmonic Emissions of Individual Consumers
    Hasan Dirik, Ismail Umut Duran, Cenk Gezegin
    IEEE Transactions on Instrumentation and Measurement, 2019
  • A novel parameter identification method for single-phase transformers by using real-time data
    Hasan Dirik, Cenk Gezegin, Muammer Ozdemir
    IEEE Transactions on Power Delivery, 2014

RECENT SCHOLAR PUBLICATIONS

  • Conducted Emission Study of a Grid-Connected Single-Phase Bidirectional AC–DC Converter for Grid to Vehicle Applications
    N Sarma, S Genc, BM Gundogdu, KN Akpinar, C Gezegin, O Ozgonenel
    IEEE Transactions on Electromagnetic Compatibility , 2025
    2025
  • Feasibility Study and Economic Analysis for Hydroelectric-PV Hybrid System Performed with PVsyst Software
    Ü Aydın, C Gezegin
    International Journal of Pioneering Technology and Engineering 3 (02), 80-85 , 2024
    2024
    Citations: 1
  • Dağıtım Transformatörleri İçin En Sıcak Nokta Sıcaklığına Dayalı Bir Ömür Sayacının Tasarımı Ve Saha Uygulaması
    H Dirik, C Gezegin, O Ozgonenel, A Geyikoğlu, İ Sancaktar
    Politeknik Dergisi, 1-1 , 2024
    2024
  • Modeling and implementation of demand-side energy management system
    A Gözüoğlu, O Ozgonenel, C Gezegin
    Sigma Journal of Engineering and Natural Sciences 42 (5), 1628-1645 , 2024
    2024
    Citations: 9
  • TR83 Bölgesindeki Sanayi Kuruluşlarının Yüksek Teknoloji Kullanımı İhtiyaç Alanlarının Belirlenmesi
    C Gezegin, Ö Atakan
    5. International Boğaziçi Scientific Research and Innovation Congress, 4-15 … , 2024
    2024
  • Determining Fault Location in Transmission Lines Using Differential Equation Algorithms
    C Gezegin
    Balkan Journal of Electrical and Computer Engineering 12 (2), 170-176 , 2024
    2024
  • CNN-LSTM based deep learning application on Jetson Nano: Estimating electrical energy consumption for future smart homes
    A Gozuoglu, O Ozgonenel, C Gezegin
    Internet of Things 26, 101148 , 2024
    2024
    Citations: 65
  • Design and implementation of controller boards to monitor and control home appliances for future smart homes
    A Gozuoglu, O Ozgonenel, C Gezegin
    IEEE Transactions on Industrial Informatics 20 (9), 11458-11465 , 2024
    2024
    Citations: 21
  • Feasibility investigation and economic analysis of photovoltaic, wind and biomass hybrid systems for rural electrification in Afghanistan
    SA Dost Mohammadi, C Gezegin
    Electrical Engineering 106 (3), 2821-2841 , 2024
    2024
    Citations: 17
  • Power quality investigation of a grid-connected single-phase bidirectional AC/DC for electric vehicle applications
    S Genc, C Gezegin, O Ozgonenel, KN Akpinar, B Gundogdu, N Sarma
    2024 12th International Conference on Smart Grid (icSmartGrid), 699-703 , 2024
    2024
    Citations: 2
  • Design and Field Application of a Lifetime Metering Device for Distribution Transformers Based on Hotspot Temperature
    H Dirik, C Gezegin, O Ozgoenel, A Geyikoglu, I Sancaktar
    Gazi Univ , 2024
    2024
  • Comparison of PVsyst, PVSOL and HOMER simulation software results with real production data of solar power plants in different provinces of Turkey
    EE Dirlik, C Gezegin, SAD Mohammadi
    Journal of Engineering Research and Applied Science 12 (2), 2357-2364 , 2023
    2023
    Citations: 15
  • Fuzzy Logic Based Energy Efficient Transformer Cooling Control
    H Dirik, C Gezegin
    Journal of Engineering Research and Applied Science 12 (2), 2348-2356 , 2023
    2023
  • Determination of Winding Deformations in Power Transformers by Sweep Frequency Response Analysis and a Sample Field Study
    C Gezegin, OC Usta
    European Journal of Technique (EJT) 13 (2), 256-264 , 2023
    2023
    Citations: 2
  • Suppression of Conducted Emissions in Three-Phase Adjustable Drive Systems
    S Genc, N Sarma, B Gundogdu, O Ozgonenel, C Gezegin, UK Terzi
    2023 14th International Conference on Electrical and Electronics Engineering … , 2023
    2023
    Citations: 1
  • Enhancement of power quality in power distribution systems using FC-TCR based compensation systems
    O Ozgonenel, S Genc, C Gezegin
    Journal of Engineering Research 11 (3), 183-192 , 2023
    2023
    Citations: 2
  • Short term load forecasting based on ARIMA and ANN approaches
    C Tarmanini, N Sarma, C Gezegin, O Ozgonenel
    Energy Reports 9, 550-557 , 2023
    2023
    Citations: 391
  • An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: A battery cycle life approach
    KN Akpinar, B Gundogdu, O Ozgonenel, C Gezegin
    Electric Power Systems Research 216, 109040 , 2023
    2023
    Citations: 33
  • Reactive power compensation with hybrid compensator combining a synchronous motor and switched capacitors
    H Dirik, C Gezegin, HS Dirik
    Electric Power Systems Research 216, 109010 , 2023
    2023
    Citations: 15
  • Short term load forecasting based on ARIMA and ANN approaches. Energy Reports, 9, 550–557
    C Tarmanini, N Sarma, C Gezegin, O Ozgonenel
    2023
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Short term load forecasting based on ARIMA and ANN approaches
    C Tarmanini, N Sarma, C Gezegin, O Ozgonenel
    Energy Reports 9, 550-557 , 2023
    2023.0
    Citations: 391
  • CNN-LSTM based deep learning application on Jetson Nano: Estimating electrical energy consumption for future smart homes
    A Gozuoglu, O Ozgonenel, C Gezegin
    Internet of Things 26, 101148 , 2024
    2024.0
    Citations: 65
  • A monitoring method for average winding and hot-spot temperatures of single-phase, oil-immersed transformers
    C Gezegin, O Ozgonenel, H Dirik
    IEEE Transactions on Power Delivery 36 (5), 3196-3203 , 2020
    2020.0
    Citations: 62
  • Design and simulation of grid-connected solar PV system using PVSYST, PVGIS and HOMER software
    SAD Mohammadi, C Gezegin
    International Journal of Pioneering Technology and Engineering 1 (01), 36-41 , 2022
    2022.0
    Citations: 55
  • A computation and metering method for harmonic emissions of individual consumers
    H Dirik, IU Duran, C Gezegin
    IEEE Transactions on Instrumentation and Measurement 68 (2), 412-420 , 2018
    2018.0
    Citations: 43
  • A novel parameter identification method for single-phase transformers by using real-time data
    H Dirik, C Gezegin, M Özdemir
    IEEE transactions on power delivery 29 (3), 1074-1082 , 2013
    2013.0
    Citations: 35
  • An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: A battery cycle life approach
    KN Akpinar, B Gundogdu, O Ozgonenel, C Gezegin
    Electric Power Systems Research 216, 109040 , 2023
    2023.0
    Citations: 33
  • Design and implementation of controller boards to monitor and control home appliances for future smart homes
    A Gozuoglu, O Ozgonenel, C Gezegin
    IEEE Transactions on Industrial Informatics 20 (9), 11458-11465 , 2024
    2024.0
    Citations: 21
  • Feasibility investigation and economic analysis of photovoltaic, wind and biomass hybrid systems for rural electrification in Afghanistan
    SA Dost Mohammadi, C Gezegin
    Electrical Engineering 106 (3), 2821-2841 , 2024
    2024.0
    Citations: 17
  • Comparison of PVsyst, PVSOL and HOMER simulation software results with real production data of solar power plants in different provinces of Turkey
    EE Dirlik, C Gezegin, SAD Mohammadi
    Journal of Engineering Research and Applied Science 12 (2), 2357-2364 , 2023
    2023.0
    Citations: 15
  • Reactive power compensation with hybrid compensator combining a synchronous motor and switched capacitors
    H Dirik, C Gezegin, HS Dirik
    Electric Power Systems Research 216, 109010 , 2023
    2023.0
    Citations: 15
  • Short term load forecasting based on ARIMA and ANN approaches. Energy Reports, 9, 550–557
    C Tarmanini, N Sarma, C Gezegin, O Ozgonenel
    2023.0
    Citations: 13
  • Yanıt yüzey yöntemi ve genetik algoritma kullanılarak transformatör sargı en sıcak nokta sıcaklığının modellenmesi ve optimizasyonu
    EU Ergül, C Gezegin, A Yıldız
    Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 10 (2), 467-480 , 2019
    2019.0
    Citations: 12
  • Modeling and implementation of demand-side energy management system
    A Gözüoğlu, O Ozgonenel, C Gezegin
    Sigma Journal of Engineering and Natural Sciences 42 (5), 1628-1645 , 2024
    2024.0
    Citations: 9
  • Short term load forecasting based on ARIMA and ANN approaches. Energy Rep 2023; 9: 550–7
    C Tarmanini, N Sarma, C Gezegin, O Ozgonenel
    Citations: 7
  • Harmoniklerin süzülmesi ve tepkin güç kompanzasyonu için melez koşut etkin güç süzgeçleri
    C Gezegin
    Ondokuz Mayıs Üniversitesi, Fen Bilimleri Enstitüsü , 2006
    2006.0
    Citations: 4
  • Paralel pasif/paralel aktif hibrit güç süzgeçleri
    C Gezegin, M Özdemir
    Bursa Elektr. Elektron. ve Bilgi. Mühendisliği Sempozyumu ve Fuarı (ELECO) , 2006
    2006.0
    Citations: 4
  • Short Term Load Forecasting Based on ARIMA and ANN Approaches. Energy Reports 2023, 9, 550–557
    C Tarmanini, N Sarma, C Gezegin, O Ozgonenel
    Citations: 4
  • Transformatörlerin Ortalama Sargı Dirençlerinin Gerçek Zamanlı Ölçümü
    C Gezegin, H Dirik, M Özdemir
    Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 6 (3 … , 2018
    2018.0
    Citations: 3
  • Power quality investigation of a grid-connected single-phase bidirectional AC/DC for electric vehicle applications
    S Genc, C Gezegin, O Ozgonenel, KN Akpinar, B Gundogdu, N Sarma
    2024 12th International Conference on Smart Grid (icSmartGrid), 699-703 , 2024
    2024.0
    Citations: 2