PLL Based Energy Efficient PV System with Fuzzy Logic Based Power Tracker for Smart Grid Applications

Abstract

This work aims at improving the dynamic performance of the available photovoltaic (PV) system and maximizing the power obtained from it by the use of cascaded converters with intelligent control techniques. Fuzzy logic based maximum power point technique is embedded on the first conversion stage to obtain the maximum power from the available PV array. The cascading of second converter is needed to maintain the terminal voltage at grid potential. The soft-switching region of three-stage converter is increased with the proposed phase-locked loop based control strategy. The proposed strategy leads to reduction in the ripple content, rating of components, and switching losses. The PV array is mathematically modeled and the system is simulated and the results are analyzed. The performance of the system is compared with the existing maximum power point tracking algorithms. The authors have endeavored to accomplish maximum power and improved reliability for the same insolation of the PV system. Hardware results of the system are also discussed to prove the validity of the simulation results.

Performance analysis of boost converter with cascaded inner loop fuzzy SMC

“…Nonlinear controllers such as Passivity based controller (PBC), Linear averaged controller (LAC) and Adaptive schemes had been proposed to control the DC-DC converters because of its dynamic response and robust control (Escobar et al, 1999). Many control schemes have been presented in the past three decades, among them Sliding Mode (SM) and Fuzzy Logic Control (FLC) were widely applied nowadays because of its fast response during transient (Rohini and Jamuna, 2016).…”