An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid

An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid

Abstract Due to the energy storage lifetime effects of the power allocation, there is a large space to improve the economy of the electric‐hydrogen hybrid DC microgrid. This paper provides an optimal control method based on the mutual learn salp swarm algorithm (MLSSA) in real‐time, which aims to en...

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Bibliographic Details
Main Authors: Ying Han, Yujing Hou, Luoyi Li, Weifeng Meng, Qi Li, Weirong Chen
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Renewable Power Generation
Subjects:
cost reduction
durability
energy management systems
fuel cells
hybrid renewable energy systems
microgrids
Online Access:https://doi.org/10.1049/rpg2.13012
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