A Review of Optimization Strategies for Energy Management in Microgrids

Rapid industrialization, widespread transportation electrification, and significantly rising household energy consumption are rapidly increasing global electricity demand. Climate change and dependency on fossil fuels to meet this demand underscore the critical need for sustainable energy solutions....

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Main Authors: Astrid Esparza, Maude Blondin, João Pedro F. Trovão
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/18/13/3245
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author Astrid Esparza
Maude Blondin
João Pedro F. Trovão
author_facet Astrid Esparza
Maude Blondin
João Pedro F. Trovão
author_sort Astrid Esparza
collection DOAJ
description Rapid industrialization, widespread transportation electrification, and significantly rising household energy consumption are rapidly increasing global electricity demand. Climate change and dependency on fossil fuels to meet this demand underscore the critical need for sustainable energy solutions. Microgrids (MGs) provide practical applications for renewable energy, reducing reliance on fossil fuels and mitigating ecological impacts. However, renewable energy poses reliability challenges due to its intermittency, primarily influenced by weather conditions. Additionally, fluctuations in fuel prices and the management of multiple devices contribute to the increasing complexity of MGs and the necessity to address a range of objectives. These factors make the optimization of Energy Management Strategies (EMSs) essential and necessary. This study contributes to the field by categorizing the main aspects of MGs and optimization EMS, analyzing the impacts of weather on MG performance, and evaluating their effectiveness in handling multi-objective optimization and data considerations. Furthermore, it examines the pros and cons of different methodologies, offering a thorough overview of current trends and recommendations. This study serves as a foundational resource for future research aimed at refining optimization EMS by identifying research gaps, thereby informing researchers, practitioners, and policymakers.
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spelling doaj-art-c201c885246d406c82b6ea6208930b4c2025-08-20T02:35:56ZengMDPI AGEnergies1996-10732025-06-011813324510.3390/en18133245A Review of Optimization Strategies for Energy Management in MicrogridsAstrid Esparza0Maude Blondin1João Pedro F. Trovão2MORE Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, CanadaMORE Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, Canadae-TESC Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, CanadaRapid industrialization, widespread transportation electrification, and significantly rising household energy consumption are rapidly increasing global electricity demand. Climate change and dependency on fossil fuels to meet this demand underscore the critical need for sustainable energy solutions. Microgrids (MGs) provide practical applications for renewable energy, reducing reliance on fossil fuels and mitigating ecological impacts. However, renewable energy poses reliability challenges due to its intermittency, primarily influenced by weather conditions. Additionally, fluctuations in fuel prices and the management of multiple devices contribute to the increasing complexity of MGs and the necessity to address a range of objectives. These factors make the optimization of Energy Management Strategies (EMSs) essential and necessary. This study contributes to the field by categorizing the main aspects of MGs and optimization EMS, analyzing the impacts of weather on MG performance, and evaluating their effectiveness in handling multi-objective optimization and data considerations. Furthermore, it examines the pros and cons of different methodologies, offering a thorough overview of current trends and recommendations. This study serves as a foundational resource for future research aimed at refining optimization EMS by identifying research gaps, thereby informing researchers, practitioners, and policymakers.https://www.mdpi.com/1996-1073/18/13/3245energy management systemsoptimizationmicrogrids
spellingShingle Astrid Esparza
Maude Blondin
João Pedro F. Trovão
A Review of Optimization Strategies for Energy Management in Microgrids
Energies
energy management systems
optimization
microgrids
title A Review of Optimization Strategies for Energy Management in Microgrids
title_full A Review of Optimization Strategies for Energy Management in Microgrids
title_fullStr A Review of Optimization Strategies for Energy Management in Microgrids
title_full_unstemmed A Review of Optimization Strategies for Energy Management in Microgrids
title_short A Review of Optimization Strategies for Energy Management in Microgrids
title_sort review of optimization strategies for energy management in microgrids
topic energy management systems
optimization
microgrids
url https://www.mdpi.com/1996-1073/18/13/3245
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