Second-life battery sizing and integration in the power grid for clean energy reliability enhancement

Abstract

The integration of renewable energy sources into the power grid is vital for mitigating climate change and achieving sustainable energy goals. However, the intermittent nature of renewables presents challenges to grid reliability. Repurposing second-life batteries (SLBs) from electric vehicles and other sources offers a cost-effective and sustainable solution for grid energy storage. This study proposes an effective application of SLBs in power systems using a Discrete Wavelet Transform-Radial Basis Function Neural Network (DWT-RBFNN) for SLB management. The method is validated through simulations, demonstrating optimal reliability results using reliability indices such as the System Average Interruption Frequency Index (SAIFI) and Customer Average Interruption Frequency Index (CAIFI). Specifically, the SAIFI drops from 33 to 9 times, and CAIFI decreases from 71.5 hours to 23.5 hours after SLB control implementation. This research contributes to enhancing power reliability and clean energy production using SLBs as a viable alternative to new batteries in grid applications.