Browsing by Author "Cetin N.S."

Now showing 1 - 3 of 3
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    Neural prediction of power factor in wind turbines
    (2007) Ata R.; Cetin N.S.
    The power generated by wind turbines depends on several factors. One of them is the power factor also known as blade efficiency. In this study, the power factor is predicted using Artificial Neural Networks (ANN) and comparisons made with conventional model approach for the selected turbine profiles mostly used in practice. The study has shown that the prediction of power factors from seven input parameters by ANN yields better results than those of the conventional model.
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    Designing of a fuzzy controller for grid connected photovoltaic system's converter and comparing with PI controller
    (Institute of Electrical and Electronics Engineers Inc., 2016) Basaran K.; Cetin N.S.
    The design criteria of PV cell, DC/DC converter and grid connected DC/AC inverter which belong to the photovoltaic system are determined and Simulink models are established in this study. The control of DC/DC converter and DC/AC inverter is ensured by using fuzzy logic and PI control. The results of fuzzy logic and PI control were compared. It was seen in the result of simulation that fuzzy logic control is more efficient than PI control, output current of inverter has sinusoidal waveform and it follows the waveform of line voltage with same phase angle. © 2016 IEEE.
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    Energy management for on-grid and off-grid wind/PV and battery hybrid systems
    (Institution of Engineering and Technology, 2017) Basaran K.; Cetin N.S.; Borekci S.
    Renewable energy systems such as photovoltaic (PV) and wind energy systems are widely designed grid connected or autonomous. This is a problem especially in small powerful system due to the restriction on the inverter markets. Inverters which are utilised in these kinds of energy systems operate on grid or off grid. In this study, a novel power management strategy has been developed by designing a wind-PV hybrid system to operate both as an autonomous system and as a grid-connected system. The inverter used in this study has been designed to operate both on-grid and off-grid. Due to the continuous demand for energy, gel batteries are used in the hybrid system. The designed Power Management Unit performs measurement from various points in the system and in accordance with this measurement; it provides an effective energy transfer to batteries, loads and grid. The designed control unit provided the opportunity to work more efficiently up to 10% rate. © The Institution of Engineering and Technology 2016.