Integration of Wind and Solar Energy With Fuzzy Logic Control MPPT for Grid-Connected Hybrid Renewable Power Generation

Abstract

Integration of renewable energy sources in modern power systems is necessary for generating sustainable, reliable, and environmentally clean electricity. Grid-connected hybrid renewable energy systems actually counteract the intermittence suffered by independent sources through a combination of complementary solar PV and wind resources. This review emphasizes modeling, simulation, and control strategies for the maximization of performance of such hybrid systems, with a special focus on Fuzzy Logic Control (FLC)-based MPPT techniques. Fuzzy logic-based controllers constitute a robust and adaptive method to harness the maximum power from solar panels and wind turbines under varying environmental conditions, accounting for the nonlinearities and uncertainties present in renewable energy systems. The study analyzes different MPPT algorithms, inverter control methods, and grid synchronization techniques in terms of their implications for system efficiency, voltage and frequency stability, and power quality. From economic and environmental points of view, system optimization markedly reduces the LCOE and greenhouse gas emissions when compared with standalone generation units. Besides, the advanced control techniques, such as FLC with MPPT, can foster this coordination with energy storage systems to improve dynamic response and reliability under varying load and weather conditions. The review proposes that coordinated control, optimization, and intelligent MPPT are crucial factors in the pursuit of maximum energy generation, stable grid operation, and sustainable deployment of hybrid renewable energy systems. Research trends will include real-time implementation, predictive energy management, and large-scale deployment considerations.