Скачать или смотреть Smart Hybrid Renewable Energy System Optimization with Genetic Algorithms

This video demonstrates our comprehensive approach to optimizing a hybrid renewable energy system using MATLAB and Genetic Algorithms. We've developed a sophisticated model integrating solar PV, wind turbines, and diesel generators in an on-grid configuration to serve both fixed and flexible loads.

Key highlights include:

Advanced demand-side management with three load classifications

Intelligent load shifting from peak to off-peak periods

Multi-objective optimization considering technical, economic, and environmental factors

Real-time energy balance calculations with battery storage integration

Detailed cost analysis including capital, fuel, and emission costs

Our system achieves optimal sizing of components while minimizing both energy costs and carbon emissions through smart load scheduling.