Implementing and cosimulation of FPGA-based incrementalconductance algorithm used in maximumpower point tracking (MPPT)

With the prediction that fossil fuels will be depleted in the near future, reneweable energy resources is increasing rapidly in recent years. The most important source among them is the solar energy which illuminates and warms our world. It is possible to generate electricity by using phovoltaic panels from illumination. Nowadays the effiency of PV panels is not very high. Also, ıt is changing depending on environmental and atmospheric conditions, the intensity of sunlight varies with the angle of incidence of sunlight. Considering these, maximum power point algorithms are used to obtain maximum efficiency from sunlight. Incremental conductance algorithm is a maximum power point tracking algorithm which is used to generate maximum power to the current and voltage operating point according to the difference of the successive values of current and voltage produced by PV panel. . One of the most important features of this algorithm is that it is suitable for programming. Therefore, algorithms can be run in processors such as Digital Signal Processor (DSP) and Field programmable Gate Array (FPGA). One of the most important features of FPGA is that the algorithm can be run in hardware and parallel. Thus, FPGA is able to process faster speed of 100 MHz than today's computers. The data of 13.5 hours of a day in which the atmospheric conditions of an inverter of a 250 kW photovoltaic plant in Dicle University varied. Along with this data, the Incremental Conductance algorithm in this thesis was created with blocks specific to Xilinx FPGA's provided by System Generator in MATLAB/ Simulink simulation program. In the grid connected model of this inverter, the model created in FPGA is simulated. The result of the simulation was compared with the DC power input of the inverter. In addition, this model has been coordinated with the BASYS3 FPGA experimental kit. As a result, it was observed that the data for simulation and cosimulation were the same.