Paper Title
Reliability Analysis of Wind Turbines Integrated with Battery Storage System for Remote Area

Abstract
The integration of battery energy storage systems (BESS) into wind turbine operations is analyzed to assess its impact on system reliability, specifically focusing on the loss of load probability (LOLP) under varying load factors. This study utilizes meteorological wind velocity data and employs a multi-state analysis using universal generating functions (UGF) to derive LOLP values for wind turbine systems with and without BESS. The research involves the development of UGF for key wind turbine components: permanent magnet synchronous generator (PMSG), rectifier, and inverter, incorporating their respective efficiencies. By integrating these functions, the overall system UGF is obtained.Subsequently, the output power distributionof wind turbine system's combined with the BESS is obtained to evaluate the BESS impact on the system reliability. The analysis was conducted forfive different values of load the factor. The results demonstrate a notable enhancement in system reliability achieved by the BESS integration. These findings prove the effectiveness of BESS in optimizing wind power systems, especially in enhancing reliability in scenarios with low load factors. The study provides valuable insights for the design and operation of future wind energy systems, highlighting the critical role of BESS in achieving more robust and dependable renewable energy solutions. Fora 20% load factor, LOLP is improved by 52.5%, demonstrating the substantial benefits of using the BESS formanaging generation variability and ensuring a stable energy supply. The BESS effectwasalso observed at higher load factors, with LOLP reductions of 7.3% to 8.5%, indicating consistent benefits across different operational conditions. Keywords - Multi-State System, Universal Generating Function, Reliability Analysis, Power Storage