Profile URL: https://hdl.handle.net/20.500.13091/11761
Job Title:Prof. Dr.
Email Address:aakulaksiz@ktun.edu.tr
Main Affiliation:02.04. Department of Electrical and Electronics Engineering
Status: Current Staff
ORCID:
0000-0003-3216-8185
0000-0003-3216-8185Scopus ID:
6506541745
6506541745YÖK Akademik: C3D95BFDF11E00C2
Google Scholar:
7uwMOKEAAAAJ
7uwMOKEAAAAJWeb of Science ID:
AAA-3257-2019
AAA-3257-2019Name Variants:
Kulaksız, Ahmet Afşi̇n Kulaksız, A.A.
47 results
Scholarly Output Search Results
Now showing 1 - 10 of 47
Article Citation - WoS: 20Citation - Scopus: 36Mppt Control of Pmsg Based Small-Scale Wind Energy Conversion System Connected To Dc-Bus(WALTER DE GRUYTER GMBH, 2020) Dursun, Emre Hasan; Kulaksız, Ahmet AfşinWhile the use of renewable energy systems in electric power generation is increasing more and more, wind energy conversion systems (WECS) receive considerable attention among these. Thanks to the ability of power generation in all wind speed range by controlling the rotor speed, Variable Speed WECSs are more preferred than fixed speed WECSs. When considering small-scale applications in variable speed WECS, Permanent Magnet Synchronous Generator (PMSG) based WECS structures are focus of the interest due to their advantages such as high efficiency and low maintenance costs. The generator must be operated at an optimum speed to obtain maximum power from the WECS. Moreover, different Maximum Power Point Tracking (MPPT) methods can be used to control and determine optimal operating speed. In this paper, WECS configuration consists of PMSG, uncontrolled rectifier, DC link capacitor, DC-DC boost converter and DC-Bus. Capturing the maximum power from WECS and supplying the DC-Bus is performed via tip speed ratio and PI control (TSR-PI) based MPPT method. Moreover, two wind speed profiles having constant and instant changes are created to test the performance of the proposed method. For comparison purposes, perturbation & observation (P&O) based MPPT method is also carried out in here. According to obtained results from this study performed in Matlab/Simulink environment, it is verified that TSR-PI based MPPT method ensures higher power and efficiency for these wind speed profiles by means of a more successful generator speed tracking.Article Citation - WoS: 20Citation - Scopus: 21Design of a Fuzzy Logic-Based Mppt Controller for a Pv System Employing Sensorless Control of Mras-Based Pmsm(INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS, 2020-05-18) Anwer, Abbas Mahmood Oghor; Omar, Fuad Alhaj; Kulaksız, Ahmet AfşinThe permanent magnet synchronous motors (PMSM) are widely employed in industrial, robotic, water pumping and HVAC applications due to their numerous benefits such as small size, high-energy efficiency, high performance, low inertia and the ability to operate in full load at low speeds. In case the PMSM drive system is supplied from photovoltaic (PV) modules, it can be a perfect match for water pumping or HVAC applications. In such a system, in order to extract full energy from PV modules, a maximum power point tracking (MPPT) algorithm must be employed. This article presents a PV system-fed PMSM drive system with sensorless speed control. The proposed system consists of two main parts. The first part deals with MPPT algorithm based on fuzzy logic controller and the second part deals with PMSM drive system with a sensorless speed estimator by using Model Reference Adaptive System (MRAS) approach to eliminate the use of an encoder. The operation of PMSM is accomplished by using the vector control method to obtain a similar dynamic of the DC motor. The overall system is modelled in Matlab/Simulink environment and simulation results are collected under various operating conditions.Article Maksimum Güç Noktası İzleme Tekniklerinde Uygulanan LabVIEW Tabanlı Modelleme Sistemi(2020) Kulaksız, Ahmet Afşin; Mühendis, AbdulkadirPhotovoltaic is the process that converts the sunlight directly into electric power depending on irradiance and temperature. The monitoring system in photovoltaic power plants is very important to interface the whole system and critical in some cases for analyzing since it has to be in real-time for troubleshooting responses. This paper presents an analysis study of the photovoltaic modules based on LabVIEW which is one of the well known graphical programming environment known as a parallel programming as well. The main role of using LabVIEW environment to analyze the performance of the system is to be able to track the amount of energy which is produced by the photovoltaic system in real-time and to ensure the forecasted conversion efficiency for continuous power tracking most of the time. In this paper, the proposed modelling system is designed and implemented to analyze the performance of the applied perturbation and observation algorithm which provides the maximum power point tracking. Photovoltaic panel characteristics have been demonstrated based on LabVIEW environment using data acquisiton circuit. LabVIEW environment is a system design environment which has supportive tools which are used to create a multitude of the application in much less time using parallel programming language platform. The process of designing and analysing the system has been carried out in real time simulation using the designed electronic circuit. The obtained results from the system have been compared with a real sun-simulator device results and it was shown that they are very close to the existing datasheet results.Article Citation - WoS: 2Citation - Scopus: 4Rapid Control Prototyping Based on 32-Bit Arm Cortex-M3 Microcontroller for Photovoltaic Mppt Algorithms(INT JOURNAL RENEWABLE ENERGY RESEARCH, 2019) Omar, Fuad Alhaj; Gökkuş, Göksel; Kulaksız, Ahmet Afşin; Alhajomar, FuadSince the beginning of the war in Syria, most of the electricity infrastructure has been destroyed, leaving millions with unreliable energy. In such regions vulnerable to energy insecurity, an alternative means of electricity production is sought. As an attractive option, the interest is directed to solar energy. However, because of a lack of expertise in solar energy conversion and the high cost of smart technology in these regions, people have typically used photovoltaic systems in primitive ways, in which the efficiency of solar energy conversion is low. There is, therefore, a need for inexpensive, easy-to-implement, yet highly efficient and high performing solutions. STMicroelectronics 32-bit ARM as a maximum power point tracking (MPPT) controller offers a potential solution to the problem of low conversion efficiency in stand-alone solar systems. In this study, using Matlab-Simulink and STMicrelectronics-32 bit ARM board, simulation and practical test is set up to evaluate the performance of the Perturbation & Observation, Incremental Conductance, and Fuzzy Logic MPPT algorithms, in order to determine the most appropriate algorithm to use in small scale solar energy systems. Therefore, the objective of this study is to explore rapid control prototyping tools for saving time and effort to the experts in the implementation process of the proposed systems. The results indicate the effectiveness of the fuzzy logic algorithm to draw more energy, decrease oscillation and provide a fast response under variable weather conditions. Furthermore, the three algorithms were able to find and track MPP.Other Deep Learning LSTM-Based MPPT Control of 100kW Dual Stage Grid Tied Solar PV System(2023) Younas, Umair; Kulaksız, Ahmet AfşinArticle A Single Phase Modified Y-Source Inverter With High Voltage Gains and Reduced Switch Stresses(WALTER DE GRUYTER GMBH, 2023-09-25) Altıntaş, Hasan Basri; Kulaksız, Ahmet AfşinThis study is dedicated to develop a single-phase modified Y-source inverter (m-YSI) topology having a high boost factor and low switch voltage stress by adding a switch to the low voltage region. Thanks to this structure, continuous input current and wide control range are achieved regardless of winding factor. Since an external switch is used in the recommended modified Y-source inverter, the modulation index and duty ratio are controlled independently. Detailed analyses of the modified Y-source inverter were performed using Matlab/Simulink and its performance was compared with conventional Y-source inverters. Compared to selected conventional Y-source inverters, the proposed m-YSI has almost three times less voltage stress. A lower-cost topology has been obtained in which state-of-the-art control methods can be applied, thanks to a wide control range and circuit components with a low power ratio. This proposed model can be used as a double-stage micro-inverter in photovoltaic systems.Article Citation - WoS: 19Citation - Scopus: 24Bacteria Foraging Optimisation Algorithm Based Optimal Control for Doubly-Fed Induction Generator Wind Energy System(INST ENGINEERING TECHNOLOGY-IET, 2020-07-03) Bakır, Hale; Merabet, Adel; Dhar, Rupak Kanti; Kulaksız, Ahmet AfşinIn this study, an optimisation method, based on bacteria foraging, is investigated to tune the parameters of the proportional-integral (PI) controllers in a doubly-fed induction generator (DFIG) wind energy system connected to the grid. The generator is connected to the grid directly at the stator and through the back-to-back converter at the rotor. The control system includes PI controllers, at the rotor side, to regulate the rotor currents and PI controller to regulate the dc-link voltage for efficient power transfer. The control parameters, of three PI controllers, are optimised offline using the bacteria foraging optimisation algorithm and a modelled DFIG wind energy system. Various performance criteria, based on the tracking errors, are used to assess the efficiency of the optimisation method. Furthermore, the conventional tuning method and genetic algorithm optimisation method are conducted and compared to the bacteria foraging optimisation method to demonstrate its advantages. The optimised control parameters are evaluated on a DFIG wind energy experimental setup. Experimental and simulation results are provided to validate the effectiveness of each optimisation method.Conference Object Citation - WoS: 2Modelling and Voltage Control of the Solar-Wind Hybrid Micro-Grid with Optimized STATCOM(IEEE, 2019-06-01) Kulaksiz, Ahmet Afsin; Bakir, HaleElectricity generation from the wind and solar photovoltaic (PV) systems are highly dependent upon weather conditions. Their intermittent nature leads to fluctuations in their output. Therefore, the need for rapid compensation for energy transmission and distribution systems is increasingly important. Static Synchronous Compensator (STATCOM) can be adopted for reactive power compensation and for decreasing the voltage fluctuation caused by the system and renewable energy sources. This study presents modelling of a Solar PV-Wind Hybrid Micro-grid and the increase of the stable operating limit of the system in case of the incorporation of STATCOM is examined. The major contribution of this paper is the optimization of gain parameters of four PI controllers in STATCOM based on genetic algorithms (GA) and therefore obtaining better responses and voltage stability in terms of nonlinear nature of solar-wind hybrid micro-grid. The Simulink models of the system architecture include a 2 MW wind turbine model based on a doubly fed induction generator (DFIG), 0.4 MW solar PV power system model and a STATCOM rated at 3 MVAR. It is certified that the voltage fluctuation at the end of the bus bar is reduced by 8 % using conventional PI controller. The results obtained by GA-based optimization of PI controllers are compared with that of the conventional controller and better results attained.Conference Object Comparison of Scalar and Vector Control of Induction Motors Used in Electric Vehicle Applications(ENRES, 2019) Gürbüz, Yusuf; Younas, Umair; Kulaksız, Ahmet AfşinIt is widely recognized that induction motor drives are well-suited for propulsion purposes of electric vehicles (EVs) due to their features such as being efficient, economical and reliable. In this paper, two control methods of an induction motor (IM) for Electric Vehicles (EVs) are compared; scalar control (constant V/f) and vector control. The scalar control, which is a simple to implement method, is based on the magnitude variation of chosen control quantities. The purpose of the technique also known as constant V/f control is to maintain a constant flux value. It is cheap and does not require IM parameter identification, but it is not as sufficient in controlling drives with dynamic behavior such as EVs. On the other hand, vector control is a more advanced control method that is costly, difficult to implement, and require the identification of IM parameters. Its capability to control phase currents independently allows better transient operation, making it more appropriate for dynamic drives that is of great importance for EV applications. By means of vector-based control, higher starting torque, higher low-speed torque, and better speed control can be obtained. As a conclusion, a vector controlled IM motor has excellent speed-regulation performance and is very well competent for working as an EVs driver. Therefore, vector control can be a viable option to be used in EVs drive control.Article Değişen Çevresel Koşullar İçin Üç MGNT Algoritmasının Deneysel Doğrulaması ve Karşılaştırmalı Analizi(2021) Kulaksız, Ahmet Afşin; Gökkuş, GökselBu çalışma ile güneş dizi simülatörü (Solar Array Simulator, SAS) aracılığıyla oluşturulan üç farklı ortamda; değiştir ve gözle (Perturb and Observe, P&O), artımlı iletkenlik (Incremental Conductance, IC) ve bulanık mantık denetleyicisi (Fuzzy Logic Controller, FLC) tekniklerini temel alan maksimum güç noktası takibi (Maksimum Power Point Tracking, MPPT) algoritmalarının uygulamalı olarak performans analizleri yapılmıştır. Bu amaca yönelik olarak BK Precision firmasının güneş dizi simülatörü üzerinden sıcaklık (T) ve güneş ışımasının (G) zamana göre değişim gösterdiği 3 farklı ortam senaryosu oluşturulmuştur. Belirtilen MGNT algoritmaları bu ortamlarda ayrı ayrı çalıştırılarak performans analizleri yapılmıştır. Çalışma kapsamında yük olarak 500 W’lık omik yük (serpantinli rezistans) kullanılmış ve güneş dizi simülatöründen yüke olan güç aktarımı DA-DA (Doğru Akım, DA) yükselten (Boost, step-up) dönüştürücü üzerinden yapılmıştır. Dönüştürücünün kontrolü ve bahsedilen algoritmaların işletilmesi SMT firmasının geliştirme kartı olan Nucleo 32F103RB üzerinden yapılmış ve elde edilen sonuçlar tartışılmıştır.
Research Topics
Domains
Physical Sciences
Fields
EnergyEngineeringComputer Science
Subfields
Renewable Energy, Sustainability and the EnvironmentControl and Systems EngineeringArtificial IntelligenceElectrical and Electronic Engineering
Specific Research Areas
Photovoltaic System Optimization Techniques
Microgrid Control and Optimization
Solar Radiation and Photovoltaics
Wind Turbine Control Systems
Solar Thermal and Photovoltaic Systems
Sustainable Development Goals
7AFFORDABLE AND CLEAN ENERGY
37
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
4
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
13CLIMATE ACTION
2
Research Products
14LIFE BELOW WATER
2
Research Products
17PARTNERSHIPS FOR THE GOALS
1
Research Products
Documents
29
Citations
829
h-index
-
Documents
25
Citations
583
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 23 |
| Selçuk University | 16 |
| Nevşehir Hacı Bektaş Veli University | 2 |
| Zonguldak Bülent Ecevit University | 2 |
| Necmettin Erbakan University | 2 |
1 / 3
Data obtained from OpenAlex
| Journal | Count |
|---|---|
| ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH | 2 |
| INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH | 2 |
| European Journal of Science and Technology | 2 |
| ELEKTRONIKA IR ELEKTROTECHNIKA | 2 |
| Avrupa Bilim ve Teknoloji Dergisi | 2 |
Current Page: 1 / 5
Scholarly Output
47
Articles
23
Views / Downloads
107/469
Supervised MSc Theses
4
Supervised PhD Theses
4
WoS Citation Count
273
Scopus Citation Count
402
Patents
0
Projects
0
WoS Citations per Publication
5.81
Scopus Citations per Publication
8.55
Open Access Source
34
Supervised Theses
8
Scopus Quartile Distribution
Competency Cloud
