Development of a Fault Detection and Protection Scheme for Grid-Connected Battery Systems

Abstract

Grid connected Battery Energy Storage Systems (BESS) is very important in the current power systems to stabilise the grid, facilitate the integration of renewable energy, and manage energy. Nevertheless, safety, reliability and efficiency of the systems may be seriously impaired due to the prevalence of faults including overcurrent, overvoltage, as well as internal degradation. The traditional fault detection and protection strategies usually have high nonresponse time, less flexibility, and less precision in operation under dynamic environments. This paper offers a combination of fault detection and protection scheme of the grid-connected battery systems to deal with these issues. The solution will involve a model-based technique residual analysis in the continuous monitoring of system parameters and detecting abnormal deviations that are a sign of faults. A decision mechanism which is based on a threshold is added, so that the fault in the system can be classified fast and the correct protective action taken on it like isolation of the system and the system shutdown. The performance of the suggested scheme is confirmed by means of simulation studies in different fault conditions. Findings indicate that the technique has higher detection speeds, accuracy and lower false alarms than the traditional approaches. The suggested framework is a strong, expandable, and competent system of improving the reliability and safety of grid-related BESS in intelligent grids.