# Strategies for Resilience and Battery Life Extension in the Face of Communication Losses for Isolated Microgrids

arXiv: https://arxiv.org/abs/2407.10278 · HTML: https://mlsanity.com/paper/2407.10278/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Jul 2024.

## Built on by (most cited first, 1 of 1)

- [Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management](https://mlsanity.com/paper/2508.08132/) (2025)

## Abstract (arXiv)

This study addresses the challenges of energy deficiencies and high impact low probability (HILP) events in modern electrical grids by developing resilient microgrid energy management strategies. It introduces a sliding Model Predictive Control (MPC) methodology integrated with Battery Energy Storage Systems (BESS), emphasizing extending battery life and prioritizing critical loads during HILP events. This approach focuses on extending the sustainability of battery operation by linearizing the battery lifecycle within the optimization framework. Furthermore, this research proposed a straightforward method to mitigate communication disruptions during HILP events, thereby ensuring operational integrity. This focused approach enhances isolated microgrid resilience and sustainability, offering a strategic response to contemporary environmental challenges.