Optimal Allocation and Sizing of Battery Energy Storage System in Distribution Network Using Mountain Gazelle Optimization Algorithm

This paper addresses the problem of finding the optimal position and sizing of battery energy storage (BES) devices using a two-stage optimization technique. The primary stage uses mixed integer linear programming (MILP) to find the optimal positions along with their sizes. In the secondary stage, a...

Full description

Saved in:
Bibliographic Details
Main Authors: Umme Mumtahina, Sanath Alahakoon, Peter Wolfs
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/2/379
Tags: Add Tag
No Tags, Be the first to tag this record!