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Autonomous Load Coordination Control for Resilient Microgrids.

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Title: Autonomous Load Coordination Control for Resilient Microgrids.
Authors: Gabbar, Hossam A.1 (AUTHOR) hossam.gaber@ontariotechu.ca, Isham, Manir1 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2876. 29p.
Subject Terms: *Microgrids, *Multi-objective optimization, *Energy storage, *Renewable natural resources, *Decentralized control systems, *Load balancing (Computer networks), *Distributed power generation, *Electric inverters
Abstract: The control of micro energy grids (MEGs) is characterized by volatility, uncertainty, and decentralization. Traditional power distribution algorithms, designed for centralized, dispatchable generators, are inadequate for MEG environments. Controllable load management provides peak shaving, load balancing, frequency regulation, and voltage stability, as well as fast balancing services for renewable energy grids in distributed power systems. A non-grid-tied inverter costs a fraction of its grid-tied counterpart for the same capacity. In the initial setting, one or more inverters are used. As the demand grows, more non-grid-tied inverters are added to the mix. Non-grid-tied inverters cannot be connected in parallel. There is no practical solution available in the market for the optimum utilization of this type of setting. Unlike a grid-tied microgrid, in non-grid-tied mode, a microgrid uses grid power only when needed, prioritizing renewable sources. This paper explores autonomous strategies for controlling and coordinating multiple renewable energy sources in MEG settings. It reviews and develops an algorithmic framework for optimal load distribution among multiple renewable sources, including solar photovoltaic (PV), wind turbines, and battery energy storage systems (BESSs). The proposed framework integrates resource forecasting, multi-objective optimization, and adaptive supervisory control to ensure stability, maximize renewable penetration, and minimize operational costs. Performance considerations, mathematical modelling, and potential implementation architectures are discussed. A hybrid approach, combining multiple algorithms, is therefore proposed. In this paper a real-life solution is proposed to a real-life problem. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194909325
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PubTypeId: academicJournal
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  Data: Autonomous Load Coordination Control for Resilient Microgrids.
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  Data: <searchLink fieldCode="AR" term="%22Gabbar%2C+Hossam+A%2E%22">Gabbar, Hossam A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hossam.gaber@ontariotechu.ca</i><br /><searchLink fieldCode="AR" term="%22Isham%2C+Manir%22">Isham, Manir</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2876. 29p.
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  Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+natural+resources%22">Renewable natural resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Decentralized+control+systems%22">Decentralized control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Load+balancing+%28Computer+networks%29%22">Load balancing (Computer networks)</searchLink><br />*<searchLink fieldCode="DE" term="%22Distributed+power+generation%22">Distributed power generation</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+inverters%22">Electric inverters</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The control of micro energy grids (MEGs) is characterized by volatility, uncertainty, and decentralization. Traditional power distribution algorithms, designed for centralized, dispatchable generators, are inadequate for MEG environments. Controllable load management provides peak shaving, load balancing, frequency regulation, and voltage stability, as well as fast balancing services for renewable energy grids in distributed power systems. A non-grid-tied inverter costs a fraction of its grid-tied counterpart for the same capacity. In the initial setting, one or more inverters are used. As the demand grows, more non-grid-tied inverters are added to the mix. Non-grid-tied inverters cannot be connected in parallel. There is no practical solution available in the market for the optimum utilization of this type of setting. Unlike a grid-tied microgrid, in non-grid-tied mode, a microgrid uses grid power only when needed, prioritizing renewable sources. This paper explores autonomous strategies for controlling and coordinating multiple renewable energy sources in MEG settings. It reviews and develops an algorithmic framework for optimal load distribution among multiple renewable sources, including solar photovoltaic (PV), wind turbines, and battery energy storage systems (BESSs). The proposed framework integrates resource forecasting, multi-objective optimization, and adaptive supervisory control to ensure stability, maximize renewable penetration, and minimize operational costs. Performance considerations, mathematical modelling, and potential implementation architectures are discussed. A hybrid approach, combining multiple algorithms, is therefore proposed. In this paper a real-life solution is proposed to a real-life problem. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194909325
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/en19122876
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 29
        StartPage: 2876
    Subjects:
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Energy storage
        Type: general
      – SubjectFull: Renewable natural resources
        Type: general
      – SubjectFull: Decentralized control systems
        Type: general
      – SubjectFull: Load balancing (Computer networks)
        Type: general
      – SubjectFull: Distributed power generation
        Type: general
      – SubjectFull: Electric inverters
        Type: general
    Titles:
      – TitleFull: Autonomous Load Coordination Control for Resilient Microgrids.
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            NameFull: Gabbar, Hossam A.
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          Name:
            NameFull: Isham, Manir
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          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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              Value: 19
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Energies (19961073)
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