Solar panels simulation data generated using LTSpice under different operating conditions

Abstract

This paper presents a detailed description of the circuit simulation data obtained using LTspice, a high-performance SPICE simulation software for easing the simulation of solar panel circuit data. The data represents the photovoltaic modules with different configurations and cells placed in series and parallel. The data are obtained from automated Python creation and simulation of PV cells in specified formats. The collected data are then organized in a CSV (Comma Separated Value) file. Each file contains properties of the photovoltaic cell, such as individual cell voltage, current, and others. The data are then used to evaluate each of the photovoltaic modules of an array.

Keywords

• Photovoltaics
• Spice
• Machine learning
• Artificial Intelligence
• Renewable Energy