10/09/2026
Adaptive RBF Neural Network MPPT for Hybrid PV Wind Battery Supercapacitor DC Microgrid MATLAB
https://youtu.be/A8umLmhK_bs
Explore the modeling and simulation of a hybrid PV-Wind-Battery-Supercapacitor DC microgrid using an Adaptive Radial Basis Function (RBF) Neural Network for intelligent MPPT control. The simulation focuses on renewable energy integration, maximum power extraction, DC-link voltage regulation, battery-supercapacitor energy management, and dynamic microgrid performance.
Research Highlights:
β’ Hybrid PV-Wind renewable energy system
β’ Adaptive RBF Neural Network MPPT
β’ Battery and supercapacitor energy storage
β’ DC microgrid modeling
β’ Renewable power extraction and optimization
β’ DC-link voltage regulation
β’ Energy management and power balancing
β’ MATLAB Simulink simulation
Research Projects:
https://www.phdresearchlabs.com/projects.html
Email: [email protected]
WhatsApp: +91 86107 86880
Keywords:
Adaptive RBF Neural Network MPPT, RBF Neural Network MPPT, hybrid PV wind system, PV wind battery supercapacitor, DC microgrid, renewable energy microgrid, AI MPPT control, intelligent MPPT, adaptive MPPT, battery supercapacitor energy storage, hybrid renewable energy system, MATLAB Simulink, DC microgrid simulation, renewable energy integration, energy management system, power electronics research, PhD renewable energy project
Explore the modeling and simulation of a hybrid PV-Wind-Battery-Sup...