Kursun, NihatTekdemir, Ibrahim Gürsu2026-02-082026-02-0820249798331518035https://doi.org/10.1109/ELECO64362.2024.10847190https://hdl.handle.net/20.500.12885/53082024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024 -- 2024-11-28 through 2024-11-30 -- Bursa -- 206315In solar and wind power plants, it is desired that the power generated is always maximum. However, changes in the input parameters of the system may prevent this. Maximum power point tracking (MPPT) methods can be used especially in solar power plants. In wind power plants, speed and direction of the wind are always variable. As in solar power plants, instantaneous/average power amounts can be increased in wind power plants by using MPPT methods. In this study, Incremental Conductance, Perturb and Observe, Fuzzy Logic and models created without using any MPPT method were used. The average power values obtained by performing MATLAB/Simulink simulations were compared for the relevant scenarios. According to the results, it is seen that the output power can be increased by using MPPT methods. The highest increase was obtained by using Fuzzy Logic-based method. This is a beneficial result in terms of grid operation and energy planning. © 2024 IEEE.trinfo:eu-repo/semantics/closedAccessMATLABSolar power plantsAverage output powerAverage powerFuzzy-LogicInput parameterMaximum Power Point TrackingPowerPower directionSolar and windsTracking methodWind power plantsWindmillConference Object10.1109/ELECO64362.2024.108471902-s2.0-85217843065N/A