Characterization and modelling of the optimal performances of the marketed photovoltaic panels

In this paper, we have presented the results of the characterization and the fine modelling of the electric characteristics current-voltage and power-voltage of the photovoltaic (PV) panels. We have analyzed the electric parameters of PV cells and the optimal electric quantities of PV panels (voltage and power) according to the meteorological conditions (Temperature, solar irradiation). The obtained results show that the diode parameters of the PV cells depend on solar irradiation: the saturation current increases with solar irradiation. This induces a decrease of the optimal voltage with solar irradiation: when the solar irradiation varies from 300W/m2 to 900W/m2, the optimal voltage decreases by 11 %. These results are confirmed by the measures of the manual regulation of the maximum power point (MPP) during one day. Also, we have analysed qualitatively the performances of the associated panels in parallels and in series.In this paper, we have presented the results of the characterization and the fine modelling of the electric characteristics current-voltage and power-voltage of the photovoltaic (PV) panels. We have analyzed the electric parameters of PV cells and the optimal electric quantities of PV panels (voltage and power) according to the meteorological conditions (Temperature, solar irradiation). The obtained results show that the diode parameters of the PV cells depend on solar irradiation: the saturation current increases with solar irradiation. This induces a decrease of the optimal voltage with solar irradiation: when the solar irradiation varies from 300W/m2 to 900W/m2, the optimal voltage decreases by 11 %. These results are confirmed by the measures of the manual regulation of the maximum power point (MPP) during one day. Also, we have analysed qualitatively the performances of the associated panels in parallels and in series

Optimization of Unsupervised Classification by Evolutionary Strategies

ABSTRACT The kmeans algorithm is an unsupervised classification algorithm. This algorithm however, suffers from two difficulties which are the initialization phase and the local optimums. We present in this paper some improvements to this algorithm based on the evolutionary strategies in order to get around these two difficulties. We have designed a new evolutionist kmeans algorithm. We have proposed a new mutation operator in order for the algorithm to avoid local solutions and to converge to the global solution for a low computational time. This approach is validated on some simulation examples. The experimental results obtained confirm the rapidity of convergence and the good performances of the proposed algorithm

Design and performance analysis of a photovoltaic water pumping system based on DC-DC boost converter and BLDC motor

International audienceThis paper presents the modeling, control and optimization of a photovoltaic water pumping system. The DC-DC boost converter is used as a mediator between a Solar Photovoltaic (SPV) array and the Voltage Source Inverter (VSI) to feed the brushless DC (BLDC) motor.A centrifugal pump is connected to this motor in order to use the water pumped afterwards tomultiple applications. Maximum Power Point Tracking (MPPT) control techniques play a vital role in efficiency improvement of photovoltaic (PV) systems. It is mainly used to extract maximum possible power of the PV modules under any condition of solar irradiation. For this reason, P&O algorithm is used due to its high performance and its simplicity of implementation. The boost converter, over the various common DC-DC converters, offers many advantages in SPV based applications, such limiting the starting inrush current of the motors. Using a BLDC motor is found to be the best option because of its high efficiency, supreme reliability, better performance, and requires low maintenance, over a wide range of speeds. The considered model as well as the control strategy has been implemented in MATLAB/Simulink environment. The results show the effectiveness of the studied photovoltaic water pumping system