Paper Details

Name: Gurpinder Singh, Sushil Kakkar & Shweta Rani
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 292-302
DOI: https://doi.org/10.5281/zenodo.19015371

ABSTRACT:
The transition to renewable energy, particularly solar photovoltaic (PV) systems, necessitates robust energy storage solutions. To facilitate this shift, accessible models of PV systems integrated with battery storage (ESBS) are crucial for engineers. These models enable the evaluation of technical and economic advantages during system design. This work introduces a comprehensive model that accurately represents power flows and energy exchanges within a PV-ESBS system. It offers two PV generation approaches: a Gaussian model and a meteorological data-based (MDB) model. The
MDB model is shown to be more effective for short-term analysis, while the Gaussian model aligns better with long-term measured data. The model is versatile, capable of simulating various energy management strategies, including peakshaving and maximizing self-consumption, applicable across different PV-ESBS scales. Validation is achieved by comparing simulation results with data from a real-world grid-tied PV-ESBS, demonstrating the model's accuracy and reliability.