Towards Sustainable DC Microgrids: Optimised PV-Battery Energy Management Strategy Based on Fuzzy Logic

NourelHouda  Cheggoufi; Mohamed  Nour; Saied Boumediene; Nasri Abdelfatah; Ben ali Abdelkrim

doi:10.51646/jsesd.v15i1.950

Authors

NourelHouda Cheggoufi LIMA Laboratory, University Center Nour Bachir, El Bayadh, Algeria https://orcid.org/0009-0001-2133-8575
Mohamed Nour Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria. https://orcid.org/0009-0004-2467-8331
Saied Boumediene SGRE Laboratory, University of Tahri Mohamed, Bechar, Algeria. https://orcid.org/0009-0001-3196-8837
Nasri Abdelfatah Tahri Mohamed Bechar university https://orcid.org/0000-0002-8279-6086
Ben ali Abdelkrim SGRE Laboratory, University of Tahri Mohamed, Bechar, Algeria. https://orcid.org/0000-0003-4097-884X

DOI:

https://doi.org/10.51646/jsesd.v15i1.950

Keywords:

DC microgrid, hybrid energy systems, EMS, MPPT, fuzzy logic

Abstract

Effective energy management is necessary for reliable power distribution and the best use of resources in DC microgrid hybrid energy systems. This study outlines an energy management method for an autonomous DC microgrid that incorporates a photovoltaic (PV) generator and a battery li-ion coupled to a DC-linkby converters DC/DC, accommodating both DC and AC loads. The photovoltaic generator is linked to a boost converter. This converter is controlled via a MPPT algorithm that uses perturbation and observation (P&O) to find the best way to get solar power when the amount of sunlight changes. The battery is connected to a buck-boost bidirectional converter at the same time, and a fuzzy logic-based energy management system (EMS) controls how it works.This controller regulates the selection of the battery operating mode (charge/discharge) based on load demand and the state of charge (SOC) of the battery, there by maintaining the stability of the DC-link voltage. The incorporation of MPPT with EMS facilitates efficient load distribution and energy equilibrium, consequently enhancing system performance and reliability.

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