Title:	Large-scale MILP-based battery energy storage simulations for long-horizon operation analysis
DNr:	NAISS 2026/4-128
Project Type:	NAISS Small
Principal Investigator:	Zahra Shahroozi <zahra.shahroozi@mdu.se>
Affiliation:	Mälardalens universitet
Duration:	2026-01-21 – 2026-08-01
Classification:	21199
Keywords:

Abstract

This project investigates long-horizon operation of battery energy storage systems using mixed-integer linear programming (MILP). The model is implemented in Python using the Gurobi solver and represents detailed operational constraints with high temporal resolution. The objective is to analyse battery participation in electricity markets and flexibility services over periods exceeding one year by performing repeated daily optimization runs and scenario analyses. The results will support method development and computational evaluation of long-term battery operation strategies.