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Article Dans Une Revue Journal of Energy Storage Année : 2022

Adaptive Droop based Control Strategy for DC Microgrid Including Multiple Batteries Energy Storage Systems

Seydali Ferahtia
Ali Djeroui
  • Fonction : Auteur
Hegazy Rezk
Elyazid Amirouche
Koussaila Iffouzar
Kaci Ghedamsi
  • Fonction : Auteur
Djamal Aouzellag
  • Fonction : Auteur
Mohammad Ali Abdelkareem
Samir Zeghlache
  • Fonction : Auteur
Zhuo Liu
Manef Bourogaoui
  • Fonction : Auteur

Résumé

This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery–supercapacitor hybrid power system. The hybrid power system consists of a lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using the salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC/DC converter model is derived utilizing the first-principles method and computes the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power elements’ life expectancies and supplies the power system with the required power.
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Dates et versions

hal-03628482 , version 1 (02-04-2022)

Identifiants

Citer

Seydali Ferahtia, Ali Djeroui, Hegazy Rezk, Aissa Chouder, Mohamed Machmoum, et al.. Adaptive Droop based Control Strategy for DC Microgrid Including Multiple Batteries Energy Storage Systems. Journal of Energy Storage, 2022, 48 (6), pp.103983. ⟨10.1016/j.est.2022.103983⟩. ⟨hal-03628482⟩
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