Advanced Control Strategies Design And Simulation Of Pi, Fuzzy And Anfis Controller For Pv And Wind

Abstract

This study focuses on the design and implementation of algorithms for regulating and synchronizing voltage source inverters (VSIs) used as power conditioners in grid-connected photovoltaic (PV) systems for renewable energy applications. The primary objective is to develop robust control strategies that ensure reliable inverter performance under challenging grid conditions, including voltage imbalances, frequency fluctuations, and harmonic distortions. By addressing these issues, this research makes a significant contribution to advancing both the knowledge and technology of grid-connected solar systems, offering a comprehensive framework to maintain optimal performance and compliance with power quality standards, even during grid disturbances.To overcome inherent limitations of conventional approaches, the study introduces an innovative control scheme that combines Incremental Conductance (INC) and Perturb and Observe (P&O) techniques for Maximum Power Point Tracking (MPPT). Additionally, to enhance system stability and dynamic response, the proposed method replaces traditional Proportional-Integral (PI) voltage regulators with advanced Fuzzy Logic Controllers (FLCs). These fuzzy regulators are designed to achieve faster dynamic response, suppress grid current fluctuations, and maintain voltage stability in the constant current operating range.The proposed strategy has been rigorously analyzed through detailed mathematical modeling and extensive MATLAB simulations. Comparative results demonstrate superior dynamic performance and enhanced grid power utilization, validating the effectiveness and practicality of the control approach.