Abstract
This study has conducted a detailed examination of a battery-inverter hybrid storage system's simulated performance. It has provided valuable insights into the system's functionality and efficiency, offering an in-depth analysis of various performance metrics. The findings shed light on the system's strengths and weaknesses, with a focus on battery capacity, charge and discharge rates, energy efficiency, losses, state of charge, battery temperature, and overall system efficiency. The study has identified areas for potential improvement, emphasizing the importance of data quality, system optimization, and the need for further research in this domain. Overall, this research contributes to a better understanding of battery-inverter systems and provides a foundation for future investigations and enhancements in this field.
In this analysis of a battery-inverter hybrid storage system's simulated performance evaluation, we have gained valuable insights into its behavior and efficiency. The dataset provided a holistic view of system performance across various parameters, which facilitated a profound understanding of its capabilities and limitations.
The performance model for battery capacity, with a gradual degradation from its peak of 2400W, indicated the system's ability to adapt and respond to dynamic energy demands. The evaluation metrics, including an RMSE of 7.5020 and MAPE of 3.6459%, confirmed the model's reliability, showcasing its strong predictive power.
