A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders

A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders

This study presents a comprehensive framework for optimizing energy management systems by integrating advanced methodologies for weather forecasting, energy cost analysis, and grid stability using a mixed-integer linear programming (MILP) algorithm. A novel approach is proposed for day-ahead weather...

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Bibliographic Details
Main Authors: Umme Mumtahina, Sanath Alahakoon, Peter Wolfs
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
optimal scheduling
battery energy storage system
energy management system
mixed-integer linear programming
weather forecasting
Online Access:https://www.mdpi.com/1996-1073/18/5/1067
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