MATLAB Implementation of Advanced Solar Energy Model

Application of Novel Solar Energy Model in Wind-Solar Hybrid Systems

With the continuous advancement in renewable energy research, wind-solar hybrid systems have gained significant attention due to their high efficiency and stability. The MATLAB-based advanced solar energy model provides a powerful simulation tool for this field.

This model primarily focuses on optimizing the solar energy component within wind-solar hybrid systems, capable of simulating solar output characteristics under various environmental conditions. The implementation integrates typical meteorological data and incorporates photovoltaic conversion principles of solar panels to achieve efficient energy conversion calculations. The code utilizes MATLAB's curve fitting toolbox for parameter optimization and employs numerical methods to solve energy balance equations.

In the research, the model specifically considers factors such as solar radiation angle, cloud cover obstruction, and temperature variations on power generation efficiency. Through parameter adjustment functions, researchers can simulate solar power generation under different geographical locations and seasonal conditions, providing crucial data support for the design and optimization of wind-solar hybrid systems. The algorithm includes real-time irradiation angle calculation using trigonometric functions and temperature compensation modules based on empirical coefficients.

The model's advantage lies in its balance between computational accuracy and operational efficiency, making it an indispensable tool for studying wind-solar hybrid systems. Key MATLAB functions implemented include pvlib toolbox integration for meteorological data processing and custom M-file functions for performance curve generation.