تطوير نموذج لمتحكم عائم لتقدير نسبة التشغيل لمبدل خافض الجهد المستمر لتحسين كفاءة نظم الطاقة الشمسية الكهروضوئية عند التغيرات الجوية باستخدام Matlab Simulink

الملخص EN

The research presents a new model for Fuzzy Logic Controller to track the Maximum Power Point for Solar Photovoltaic Energy, in order to obtain the maximum power of these systems under atmospheric changes.

The model for Fuzzy Logic Controller developed in Matlab/Simulink environment, depends on the use of instantaneous measurements of the solar cell temperature and solar radiation intensity, to determine the optimal duty cycle used to control the duty cycle of Buck converter to achieve the Photovoltaic system works at the maximum power point.

Thus, the proposed controller in the research considered, independent in his work on the use of electrical measurements output of PV system to determine optimal duty cycle.

This would improve the dynamic performance of the proposed Fuzzy Logic Controller to determine the duty cycle at fast speed proportional to the changes speed of different weather condition.

We selected Generalized bell curve membership functions for fuzzification the input variables of DMPPT-FLC Controller to suit the nature of the nonlinear changes to these variables, and Triangular membership functions and other Trapezoidal membership function for the fuzzification of the output variable.

The simulation results completed in Matlab /Simulink environment, showed the best performance of the proposed Fuzzy Logic Controller, in tracking the MPP point at fast speed and high accuracy, which improves the value of efficiency factor of the PV system, compared with the use of other reference models of fuzzy logic controller MPPT-FLC functioning relies on the use of a number of electrical measurements of the output of PV system, and compared with the use of the conventional Perturb and Observer technique MPPT- P&O under different atmospheric changes.