Parameters Estimation of the Inverter Connected to a Single-Phase Full-Bridge Photovoltaic System with Adaptive Chaotic Grey Wolf Algorithm to Synchronize Phase and Frequency

Photovoltaic (PV) systems are widely used due to low maintenance costs and being non-pollutant. Selecting proper parameters for the inverter is essential for its stable performance. The inverter connected to the grid should be able to transfer maximum PV energy to the power grid. To have the complete transmission, the output current of the inverter should be synchronous with the voltage of the power network in terms of phase and frequency. The inverter affects the quality of the power generated by the PV and chaotic behavior can affect the performance of the PV system, negatively. Due to chaotic behavior, by determining the correlation coefficient, PV voltage and circuit parameters, phase and frequency can be synchronized. Therefore, in this paper, determining parameters of the inverter connected to the single-phase full-bridge PV system for phase and frequency synchronization is studied. To increase the accuracy of estimating system parameters and reduce synchronization error, the adaptive chaotic grey wolf Algorithm is used. Simulations are compared with PSO and GWO indicating the superiority of the proposed method in terms of phase and frequency synchronization.

Parameters Estimation of the Inverter Connected to a Single-Phase Full-Bridge Photovoltaic System with Adaptive Chaotic Grey Wolf Algorithm to Synchronize Phase and Frequency Keywords:

Parameter Estimation , synchronization , Full-bridge Photovoltaic , Grey Wolf Algorithm