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Browsing by Author "Cakmak, Fevzi"

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    Article
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    Analyses of Po-Based Fuzzy Logic-Controlled Mppt and Incremental Conductance Mppt Algorithms in Pv Systems
    (Mdpi, 2025) Tür, Mehmet Rıda; Aydogmus, Zafer; Tur, Mehmet Rida; Department of Electricity and Energy / Elektrik ve Enerji Bölümü
    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.
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    Conference Object
    Citation - WoS: 5
    Citation - Scopus: 6
    Distributed Generation System Planning Based on Renewable Energy Source
    (IEEE, 2022) Çakmak, Fevzi; Oymak, Aysenur; Altun, Muslime; Tür, Mehmet Rıda; Cakmak, Fevzi; Atic, Serdal; Tur, Mehmet Rida; Bayindir, Ramazan; Department of Electricity / Elektrik Bölümü; Department of Electricity and Energy / Elektrik ve Enerji Bölümü
    Distributed generation systems are needed in order to use existing energy resources efficiently and to meet energy needs. Although the interconnection of distributed generation systems with renewable sources offers many advantages, technical difficulties may arise from the inappropriate integration of distributed generation. Therefore, optimal planning of distributed generation is very important for the distributed grid to provide the expected power. Optimizing production systems is used to increase efficiency, provide flexibility in electrical systems, reduce costs and reduce power fluctuations. Meta-heuristic algorithms are more suitable for multi-purpose applications. In this study, the renewable energy source and energy storage system in the distributed generation system are also mentioned. Some of the optimization methods used for optimal planning of the distributed system are also included.