# Resilience-oriented optimization of hospital microgrids with critical load support using ESS and PV under grid outage conditions

## TL;DR

This paper presents a new optimization framework to improve hospital microgrid resilience during grid outages using solar power and battery storage.

## Contribution

A novel MILP-based framework integrating multi-node ESS, PV, and critical load prioritization for hospital microgrid resilience under grid outages.

## Key findings

- Coordinated multi-node ESS placement reduces Energy Not Supplied (ENS) by 55–63% compared to baseline configurations.
- The framework maintains ≥95% supply to life-critical loads across most outage scenarios.
- ESS capacity, PV penetration, and outage duration are the dominant factors influencing resilience.

## Abstract

This study develops a resilience-oriented optimization framework for hospital microgrids that integrates photovoltaic (PV) generation, multi-node battery energy storage systems (BESS), and medical load prioritization under grid outage conditions. A mixed-integer linear programming (MILP) model is formulated to jointly optimize ESS scheduling, critical-load support, and renewable utilization across a set of Monte Carlo outage scenarios. The framework introduces a multi-tier hospital load hierarchy (ICU, OR, imaging, pharmacy) based on Value of Lost Load (VOLL), and employs a composite resilience index combining ENS, LOLP, and critical-load survivability. The model is evaluated on modified IEEE 13-, 33-, and 69-bus systems. Results show that coordinated multi-node ESS placement improves resilience significantly, reducing Energy Not Supplied (ENS) by 55–63% compared with baseline configurations, while maintaining ≥ 95% supply to life-critical loads across most stochastic outage realizations. The proposed strategy also ensures stable Resilience Index (RI) values with a variance below 10%, highlighting robustness against PV variability and outage timing uncertainty. Sensitivity analysis demonstrates that ESS capacity, PV penetration, and outage duration are the dominant factors influencing resilience. Overall, the framework provides a practical and quantitatively validated tool for hospital energy planners seeking enhanced survivability and operational security during grid disruptions.