Energy Management System for a Low Voltage Direct Current Microgrid: Modeling and experimental validation - Archive ouverte HAL Access content directly
Conference Papers Year : 2022

Energy Management System for a Low Voltage Direct Current Microgrid: Modeling and experimental validation

Abstract

In the field of microgrids with a significant integration of Renewable Energy Sources, the efficient and practical power storage systems requirement is causing DC microgrids to gain increasing attention. However, uncertainties in power generation and load consumption along with the fluctuations of electricity prices require the design of a reliable control architecture and a robust energy management system for enhancing the power quality and its sustainability, while minimizing the associated costs. This paper presents a mixed approach illustrating both simulation and experimental results of a grid-connected DC microgrid which includes a photovoltaic power source and a battery storage system. Special emphasis is placed on the minimization of the total operating cost of the microgrid while considering the battery degradation cost and the electricity tariff. Thereby, an optimal energy management system is proposed for Energy Storage Systems scheduling and enabling the minimization of the electricity bill based on simple models. Simultaneously, the differences between simulation and laboratory performances are highlighted.
Fichier principal
Vignette du fichier
Energy Management System for a Low Voltage Direct Current Microgrid - Modeling and experimental validation.pdf (1.26 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03903293 , version 1 (12-03-2023)

Identifiers

Cite

Yanandlall Gopee, Margot Gaetani-Liseo, Anne Blavette, Guy Camilleri, Xavier Roboam, et al.. Energy Management System for a Low Voltage Direct Current Microgrid: Modeling and experimental validation. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, IEEE, Oct 2022, Brussels, Belgium. pp.1-6, ⟨10.1109/IECON49645.2022.9968485⟩. ⟨hal-03903293⟩
227 View
65 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More