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A Review of Optimization Strategies for Energy Management in Microgrids

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  • Astrid Esparza

    (MORE Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, Canada
    e-TESC Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, Canada)

  • Maude Blondin

    (MORE Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, Canada)

  • João Pedro F. Trovão

    (e-TESC Lab., Université de Sherbrooke, 2500 Boulevard de l’Université, Sherbrooke, QC J1K 2R1, Canada)

Abstract

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.

Suggested Citation

  • Astrid Esparza & Maude Blondin & João Pedro F. Trovão, 2025. "A Review of Optimization Strategies for Energy Management in Microgrids," Energies, MDPI, vol. 18(13), pages 1-32, June.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3245-:d:1684122
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    References listed on IDEAS

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    1. Luis Santiago Azuara-Grande & Santiago Arnaltes & Jaime Alonso-Martinez & Jose Luis Rodriguez-Amenedo, 2021. "Comparison of Two Energy Management System Strategies for Real-Time Operation of Isolated Hybrid Microgrids," Energies, MDPI, vol. 14(20), pages 1-15, October.
    2. Christodoulos Floudas & Xiaoxia Lin, 2005. "Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications," Annals of Operations Research, Springer, vol. 139(1), pages 131-162, October.
    3. John Downie & Wendy Stubbs, 2012. "Corporate Carbon Strategies and Greenhouse Gas Emission Assessments: The Implications of Scope 3 Emission Factor Selection," Business Strategy and the Environment, Wiley Blackwell, vol. 21(6), pages 412-422, September.
    4. Ana Cabrera-Tobar & Alessandro Massi Pavan & Giovanni Petrone & Giovanni Spagnuolo, 2022. "A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids," Energies, MDPI, vol. 15(23), pages 1-38, December.
    5. Ibrahim, Nurul Nadia & Jamian, Jasrul Jamani & Md Rasid, Madihah, 2024. "Optimal multi-objective sizing of renewable energy sources and battery energy storage systems for formation of a multi-microgrid system considering diverse load patterns," Energy, Elsevier, vol. 304(C).
    6. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Author Correction: Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(4), pages 362-362, April.
    7. Fatemeh Marzbani & Akmal Abdelfatah, 2024. "Economic Dispatch Optimization Strategies and Problem Formulation: A Comprehensive Review," Energies, MDPI, vol. 17(3), pages 1-31, January.
    8. Guo, Kun & Liu, Yu & Cao, Shanwei & Zhai, Xiangyang & Ji, Qiang, 2025. "Can climate factors improve the forecasting of electricity price volatility? Evidence from Australia," Energy, Elsevier, vol. 315(C).
    9. Mughees, Neelam & Jaffery, Mujtaba Hussain & Mughees, Anam & Ansari, Ejaz Ahmad & Mughees, Abdullah, 2023. "Reinforcement learning-based composite differential evolution for integrated demand response scheme in industrial microgrids," Applied Energy, Elsevier, vol. 342(C).
    10. Anjaiah, Kanche & Dash, P.K. & Bisoi, Ranjeeta & Dhar, Snehamoy & Mishra, S.P., 2024. "A new approach for active and reactive power management in renewable based hybrid microgrid considering storage devices," Applied Energy, Elsevier, vol. 367(C).
    11. Dutta, Riya & Chanda, Kironmala & Maity, Rajib, 2022. "Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis," Renewable Energy, Elsevier, vol. 188(C), pages 819-829.
    12. Bio Gassi, Karim & Baysal, Mustafa, 2023. "Improving real-time energy decision-making model with an actor-critic agent in modern microgrids with energy storage devices," Energy, Elsevier, vol. 263(PE).
    13. Jeyaraj, Thavamani & Ponnusamy, Arul & Selvaraj, Dhamodharan, 2025. "Hybrid renewable energy systems stability analysis through future advancement technique: A review," Applied Energy, Elsevier, vol. 383(C).
    14. Mojgan Fayyazi & Paramjotsingh Sardar & Sumit Infent Thomas & Roonak Daghigh & Ali Jamali & Thomas Esch & Hans Kemper & Reza Langari & Hamid Khayyam, 2023. "Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-38, March.
    15. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    16. Zhou, Kaile & Fei, Zhineng & Hu, Rong, 2023. "Hybrid robust decentralized optimization of emission-aware multi-energy microgrids considering multiple uncertainties," Energy, Elsevier, vol. 265(C).
    17. Arul Rajagopalan & Karthik Nagarajan & Oscar Danilo Montoya & Seshathiri Dhanasekaran & Inayathullah Abdul Kareem & Angalaeswari Sendraya Perumal & Natrayan Lakshmaiya & Prabhu Paramasivam, 2022. "Multi-Objective Optimal Scheduling of a Microgrid Using Oppositional Gradient-Based Grey Wolf Optimizer," Energies, MDPI, vol. 15(23), pages 1-24, November.
    18. Moazeni, Faegheh & Khazaei, Javad & Pera Mendes, Joao Paulo, 2020. "Maximizing energy efficiency of islanded micro water-energy nexus using co-optimization of water demand and energy consumption," Applied Energy, Elsevier, vol. 266(C).
    19. de Witt, Magnus & Stefánsson, Hlynur & Valfells, Ágúst & Larsen, Joan Nymand, 2021. "Energy resources and electricity generation in Arctic areas," Renewable Energy, Elsevier, vol. 169(C), pages 144-156.
    20. Saif Jamal & Nadia M. L. Tan & Jagadeesh Pasupuleti, 2021. "A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications," Sustainability, MDPI, vol. 13(18), pages 1-31, September.
    21. Hwang Goh, Hui & Shi, Shuaiwei & Liang, Xue & Zhang, Dongdong & Dai, Wei & Liu, Hui & Yuong Wong, Shen & Agustiono Kurniawan, Tonni & Chen Goh, Kai & Leei Cham, Chin, 2022. "Optimal energy scheduling of grid-connected microgrids with demand side response considering uncertainty," Applied Energy, Elsevier, vol. 327(C).
    22. Qian Zhang & Jinjin Ding & Weixiang Shen & Jinhui Ma & Guoli Li, 2020. "Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, March.
    23. Alejandra Tabares & Pablo Cortés, 2024. "Using Stochastic Dual Dynamic Programming to Solve the Multi-Stage Energy Management Problem in Microgrids," Energies, MDPI, vol. 17(11), pages 1-24, May.
    24. Mohammed M. Alhaider & Ziad M. Ali & Mostafa H. Mostafa & Shady H. E. Abdel Aleem, 2023. "Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
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    Cited by:

    1. Wen-Min Lu & Thu-Thao Le, 2025. "From Technology to Strategy: The Evolving Role of Smart Grids and Microgrids in Sustainable Energy Management," Energies, MDPI, vol. 18(17), pages 1-23, August.

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