Numan Sabit Cetin

Designing of a fuzzy controller for grid connected photovoltaic system's converter and comparing with PI controller

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.

A wind energy conversion control system simulation

In this report In this report, the speed control of a modern pitch-regulated wind turbine has been investigated. The control structure operates without any knowledge of the wind speed or shaft torque, instead these quantities are estimated from the rotor speed and electric power. A novel approach for development of FPGA-based wind turbine control system used in isolated network in MATLAB/Simulink environments was proposed. The software tools in Matlab/Simulink environments, related design procedure and system architecture were presented.

The Software Package for Design Optimization of the Wind/Photovoltaic Autonomous Hybrid Power System: A Case Study for Ankara City

A perspective was developed with the ORF software package, for the problem in designing wind and photovoltaic autonomous hybrid power systems with optimum cost and in optimum sizes. The ORF software package allows designing of wind energy power systems, photovoltaic power systems, and wind-photovoltaic hybrid power systems suitable for energy demands specified for 81 cities in Turkey and their 1,200 counties in total with optimum cost and in optimum size. In this article, designing wind–photovoltaic hybrid power systems included electrical loads for a typical house for Ankara county and neighborhood towns. The results are compared for each town.

Comparative Analysis of Reduced-Rule Compressed Fuzzy Logic Control and Incremental Conductance MPPT Methods

Photovoltaic (PV) power generation has been widely used in recent years, with techniques for increasing the power efficiency representing one of the most important issues. The available maximum power of a PV panel is dependent on environmental conditions such as solar irradiance and temperature. To extract the maximum available power from a PV panel, various maximum-power-point tracking (MPPT) methods are used. In this work, two different MPPT methods were implemented for a 150-W PV panel. The first method, known as incremental conductance (Inc. Cond.) MPPT, determines the maximum power by measuring the derivative of the PV voltage and current. The other method is based on reduced-rule compressed fuzzy logic control (RR-FLC), using which it is relatively easier to determine the maximum power because a single input variable is used to reduce computing loads. In this study, a 150-W PV panel system model was realized using these MPPT methods in MATLAB and the results compared. According to the simulation results, the proposed RR-FLC-based MPPT could increase the response rate and tracking accuracy by 4.66% under standard test conditions.

A FPGA simulation and implementation of a wind energy conversion system

A novel approach for development of FPGA-based wind turbine control system used in isolated network in a simulation environment was proposed. The software tools in simulation environments, related design procedure and system architecture were presented. Our proposed FPGA-Field-Programmable Gate Array-based wind turbine controller receives external sensor inputs according to the operating conditions, the wind conditions and the operators intentions. The controller also monitors operating conditions and functional sequences and makes quick, pipelined decisions. In this paper the application of FPGA for the wind turbine control is described and simulation results are presented.