A Systematic Review of Hierarchical Control Frameworks in Resilient Microgrids: South Africa Focus.
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| Title: | A Systematic Review of Hierarchical Control Frameworks in Resilient Microgrids: South Africa Focus. |
|---|---|
| Authors: | Wattegama, Rajitha1 (AUTHOR), Short, Michael1,2 (AUTHOR), Aggarwal, Geetika1 (AUTHOR), Al-Greer, Maher1,2 (AUTHOR), Naidoo, Raj2 (AUTHOR) |
| Source: | Energies (19961073). Feb2026, Vol. 19 Issue 3, p644. 32p. |
| Subject Terms: | *Microgrids, *Electrical load shedding, *Cascade control, *Disaster resilience, *Predictive control systems, *South Africans, *Clean energy, *Energy storage |
| Geographic Terms: | South Africa |
| Abstract: | This comprehensive review examines hierarchical control principles and frameworks for grid-connected microgrids operating in environments prone to load shedding and under demand response. The particular emphasis is on South Africa's current electricity grid issues, experiencing regular planned and unplanned outages, due to numerous factors including ageing and underspecified infrastructure, and the decommissioning of traditional power plants. The study employs a systematic literature review methodology following PRISMA guidelines, analysing 127 peer-reviewed publications from 2018–2025. The investigation reveals that conventional microgrid controls require significant adaptation to address the unique challenges brought about by scheduled power outages, including the need for predictive–proactive strategies that leverage known load-shedding schedules. The paper identifies three critical control layers of primary, secondary, and tertiary and their modifications for resilient operation in environments with frequent, planned grid disconnections alongside renewables integration, regular supply–demand balancing and dispatch requirements. Hybrid optimisation approaches combining model predictive control with artificial intelligence show good promise for managing the complex coordination of solar–storage–diesel systems in these contexts. The review highlights significant research gaps in standardised evaluation metrics for microgrid resilience in load-shedding contexts and proposes a novel framework integrating predictive grid availability data with hierarchical control structures. South African case studies demonstrate techno-economic advantages of adapted control strategies, with potential for 23–37% reduction in diesel consumption and 15–28% improvement in battery lifespan through optimal scheduling. The findings provide valuable insights for researchers, utilities, and policymakers working on energy resilience solutions in regions with unreliable grid infrastructure. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 191587123 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Systematic Review of Hierarchical Control Frameworks in Resilient Microgrids: South Africa Focus. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wattegama%2C+Rajitha%22">Wattegama, Rajitha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Short%2C+Michael%22">Short, Michael</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aggarwal%2C+Geetika%22">Aggarwal, Geetika</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Al-Greer%2C+Maher%22">Al-Greer, Maher</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Naidoo%2C+Raj%22">Naidoo, Raj</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Feb2026, Vol. 19 Issue 3, p644. 32p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Electrical+load+shedding%22">Electrical load shedding</searchLink><br />*<searchLink fieldCode="DE" term="%22Cascade+control%22">Cascade control</searchLink><br />*<searchLink fieldCode="DE" term="%22Disaster+resilience%22">Disaster resilience</searchLink><br />*<searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22South+Africans%22">South Africans</searchLink><br />*<searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22South+Africa%22">South Africa</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This comprehensive review examines hierarchical control principles and frameworks for grid-connected microgrids operating in environments prone to load shedding and under demand response. The particular emphasis is on South Africa's current electricity grid issues, experiencing regular planned and unplanned outages, due to numerous factors including ageing and underspecified infrastructure, and the decommissioning of traditional power plants. The study employs a systematic literature review methodology following PRISMA guidelines, analysing 127 peer-reviewed publications from 2018–2025. The investigation reveals that conventional microgrid controls require significant adaptation to address the unique challenges brought about by scheduled power outages, including the need for predictive–proactive strategies that leverage known load-shedding schedules. The paper identifies three critical control layers of primary, secondary, and tertiary and their modifications for resilient operation in environments with frequent, planned grid disconnections alongside renewables integration, regular supply–demand balancing and dispatch requirements. Hybrid optimisation approaches combining model predictive control with artificial intelligence show good promise for managing the complex coordination of solar–storage–diesel systems in these contexts. The review highlights significant research gaps in standardised evaluation metrics for microgrid resilience in load-shedding contexts and proposes a novel framework integrating predictive grid availability data with hierarchical control structures. South African case studies demonstrate techno-economic advantages of adapted control strategies, with potential for 23–37% reduction in diesel consumption and 15–28% improvement in battery lifespan through optimal scheduling. The findings provide valuable insights for researchers, utilities, and policymakers working on energy resilience solutions in regions with unreliable grid infrastructure. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=191587123 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19030644 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 644 Subjects: – SubjectFull: Microgrids Type: general – SubjectFull: Electrical load shedding Type: general – SubjectFull: Cascade control Type: general – SubjectFull: Disaster resilience Type: general – SubjectFull: Predictive control systems Type: general – SubjectFull: South Africans Type: general – SubjectFull: Clean energy Type: general – SubjectFull: Energy storage Type: general – SubjectFull: South Africa Type: general Titles: – TitleFull: A Systematic Review of Hierarchical Control Frameworks in Resilient Microgrids: South Africa Focus. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wattegama, Rajitha – PersonEntity: Name: NameFull: Short, Michael – PersonEntity: Name: NameFull: Aggarwal, Geetika – PersonEntity: Name: NameFull: Al-Greer, Maher – PersonEntity: Name: NameFull: Naidoo, Raj IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 3 Titles: – TitleFull: Energies (19961073) Type: main |
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