Çakmak, Fevzi

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https://hdl.handle.net/20.500.12514/7125
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Öğretim Görevlisi
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fevzicakmak@artuklu.edu.tr
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Department of Electricity / Elektrik Bölümü
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ORCID ID
0000-0002-5019-2181
Scopus Author ID
57887216800
Turkish CoHE Profile ID
201323
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fevzicakmak@artuklu.edu.tr
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Electric Power Components and Systems1
Energies1
IEEE Global Energy Conference, GEC 20221
Journal of Innovative Engineering and Natural Science (Online)1
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Now showing 1 - 4 of 4
  • Thumbnail Image
    Article
    Citation - Scopus: 8
    Mppt Control for PV Systems with Analytical Analysis Fractional Open Circuit Voltage Method
    (IEEE, 2022) Çakmak, Fevzi; Aydoğmuş, Zafer; Tür, Mehmet Rıda
    Abstract— In this study, analytical resolved fractional open circuit voltage (FOCV) maximum power point tracking (MPPT) method is presented. The proposed method is obtained by calculating it by utilizing the single diode circuit of the PV module, while measuring the open circuit voltage (Voc) by interrupting the power of other open circuit voltage methods. Vmpp is obtained by multiplying the obtained Voc voltage with the coefficient. The voltage variation (E) is obtained by the subtraction between the panel voltage (Vpv) and the Vmpp voltage. It is applied as an input to the PI controller by multiplying the Ki factor to limit the voltage variation (E). The PI Controller generates the required duty cycle for the DC-DC converter. The most important advantage of this method is acquaring open circuit voltage without power interruption. The proposed method operated effectively at different radiation and temperature values. For the proposed method, it has simulated in Matlab/Simulink program using SHARP NDQ295 model PV panel.
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    Article
    Citation - WoS: 4
    Citation - Scopus: 7
    Analyses of Po-Based Fuzzy Logic-Controlled Mppt and Incremental Conductance Mppt Algorithms in Pv Systems
    (Mdpi, 2025) Cakmak, Fevzi; Aydogmus, Zafer; Tur, Mehmet Rida
    This manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. In order to achieve this goal, maximum power generation should be provided from photovoltaic panels. Several maximum power point tracking (MPPT) methods are utilized for maximum power generation in photovoltaic panel systems under different weather conditions. In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. The proposed fuzzy logic controller algorithm and the incremental conductivity maximum power point tracking algorithm were simulated in a MATLAB(2018b version)/Simulink environment and evaluated by comparing the results. Four Sharp ND-F4Q295 solar panels, two in series and two in parallel, were used for the simulation. In this study, the voltage ripple of the proposed hybrid method was measured at 1% compared to the classical incremental conductivity method, while it was 8.6% in the IncCon method. Similarly, the current ripple was 1.08% in the proposed hybrid FLC method, while the current ripple was 9.27% in the IncCon method. It is observed that the proposed smart method stabilizes the system voltage faster, at 25 ms, in the event of sudden weather changes.
  • Thumbnail Image
    Article
    Enerji Nakil Hatlarının (ENH) Coğrafi Bilgi Sistemine (CBS) Entegrasyonu ve Analizi: Mardin İli Örneği
    (2025) Doğanay, Muhammed Maşuk; Çakmak, Fevzi
    Teknolojik gelişimlerin neticesinde elektrik iletim ve dağıtım şirketleri tarafından son yıllarda karmaşık enerji ağına ait verilerin coğrafi bilgi sistemi platformlarına aktarılmasıyla; görselleştirme, analiz ve iş süreçleri geliştirme yönelik iş yükünü minimize etme, zaman ve maliyetleri azaltmaya yönelik coğrafi bilgi sistemi kullanımı yaygınlaştırılmaktadır. Enerji nakil hattı topolojisinin diğer sistemlerle entegre edilmesiyle enerji ağı içerisinde ilgili güzergah ve hat kolları üzerinde analiz ve incelemeler yapılarak karşılaşılan problemler karşısında süreçlerin bir sonuca bağlanması ve karar vermede zaman ve maliyet bakımından fayda sağlanmaktadır. Enerji nakil hatları için kurulan topolojik sistem sayesinde olası senaryolar karşısında, fider güzergâhında bulunan tüm hatların uzunluğu, karakteristik özellikleri, trafo merkezleri, dağıtım merkezleri, hücre tipleri ve besleme noktalarına ait veri derleme ve raporlama bölümü ile anlık olarak veri alışveriş işlemleri gerçekleştirilebilmektedir. Bu çalışma kapsamında enerji nakil hatları içerisinden referans olarak alınan fider, coğrafi bilgi sistemi üzerinden sanal olarak enerjilendirilmesi ile fider güzergâhında bulunan ve fidere bağlı olan hatların karakteristikleri, hat uzunluğu ve TM-DM merkezleri içerisindeki hücre tipleri, trafo sayısı ve trafo güçleri analiz edilerek fider bazlı olarak tek hat şeması çıkarımı çalışmaları yapılmıştır. Tek hat çıkarımı yapılan fiderin iletken karakteristiği, uzunluğu ve güçleri referans alınarak güç analizleri, fider doluluk oranları ve enerji sürekliliği topolojisi için analiz çalışmaları yapılmıştır.
  • Thumbnail Image
    Article
    Citation - WoS: 15
    Citation - Scopus: 22
    Analysis of Open Circuit Voltage MPPT Method with Analytical Analysis with Perturb and Observe (P&O) MPPT Method in PV Systems
    (Taylor and Francis Ltd., 2023) Çakmak, Fevzi; Aydoğmuş, Zafer; Tür, Mehmet Rıda
    This study conducts a comprehensive comparison between two prominent Maximum Power Point Tracking (MPPT) techniques employed in solar energy systems: the Perturb and Observe (P&O) method and the Analytical Solution Fractional Open Circuit Voltage (ASFOCV) method. To assess the effectiveness of these MPPT approaches, a simulation study was conducted using four SHARP NDQ295 model photovoltaic panels, configured as two panels in series and two in parallel. Both the P&O and ASFOCV MPPT methods were evaluated under various scenarios of radiation levels and temperature changes. The results unequivocally demonstrate the superior performance of the ASFOCV MPPT method over the P&O MPPT method. The ASFOCV method notably enhanced converter output power by up to 5% when compared to the P&O method, leading to more efficient energy production. Furthermore, the ASFOCV method exhibited rapid stabilization of output voltage during abrupt weather changes, outperforming the P&O method in this regard. This study underscores the potential of the ASFOCV MPPT method to enhance the efficiency of solar energy systems and its adaptability to fluctuating environmental conditions. Future research endeavors could focus on mitigating the ASFOCV method’s sensitivity to temperature variations and conducting real-world applications to further investigate its performance under practical circumstances.