Ahmet Afşin Kulaksiz

ANFIS-based parameter estimation of one-diode equivalent circuit model of PV modules

Fast implementation and accurate operation of maximum power point tracking (MPPT) controllers can be realized by modeling the characteristics of PV modules obtaining equivalent parameters. In this study, ANFIS has been used to obtain three of the parameters in single-diode model of PV cells namely series resistance, shunt resistance and diode ideality factor. The input parameters of ANFIS are material type of PV modules, short circuit current, open circuit voltage, and unit area under I–V curve of PV module. The advantage of the proposed method is that the equivalent parameters can be obtained for a wide range of PV modules of different types (mono-crystalline, multi-crystalline and thin-film) using easily obtainable field test data. The simulation results suggest that, ANFIS model can be a useful tool for estimating equivalent parameters of PV modules.

ANN-based maximum power point tracking of photovoltaic system using fuzzy controller

A maximum power point tracking (MPPT) algorithm using fuzzy controller was considered. MPPT method was implemented based on the voltage and reference PV voltage value was obtained from Artificial Neural Network (ANN)-model of PV modules. Therefore, measuring only the PV module voltage is adequate for MPPT operation. Fuzzy controller is used to directly control dc-dc buck converter. The simulation results have been used to verify the effectiveness of the algorithm. The proposed method is compared with conventional perturbation & observation based method. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation.

Performance investigation of a new solar desalination unit based on sequential flat plate and parabolic dish collector

ABSTRACT A new system composed of a sequential flat plate and parabolic dish solar collector was applied to enhance the solar desalination productivity. Heated saline water was desalinated using the evaporation/condensation principle and an effort was made to achieve higher distillate production compared to previous studies. Desalination efficiency values were calculated between 23% and 57%. Maximum desalinated water productions were obtained as 1,038 mL/m2.h in autumn and 1,402 mL/m2.h in summer. The cost of solar desalination system was found as economically feasible with 3 years’ payback period and the produced water cost of 0.014

DSP implementation of a PV system with GA-MLP-NN based MPPT controller supplying BLDC motor drive

/L. Physicochemical analyses revealed that as a result of the desalination process, salinity level decreased from 35.6‰ to 0.0–0.1‰, chloride concentration decreased from 21,407 mg/L to 10 mg/L, and electrical conductivity decreased from 53.1 mS/cm to 0.11 mS/cm.