Tri-Stage Optimization Framework for Optimal Clustering of Power Distribution Systems into Sustainable Microgrids.
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| Title: | Tri-Stage Optimization Framework for Optimal Clustering of Power Distribution Systems into Sustainable Microgrids. |
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| Authors: | Ahmed, Yahia N.1 (AUTHOR), Elsayed, Ahmed Abd Elaziz1 (AUTHOR), Farag, Hany E. Z.1 (AUTHOR) hefarag@yorku.ca |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 9, p2050. 21p. |
| Subject Terms: | *Microgrids, *Mathematical optimization, *Energy storage, *Electric power system stability, *Distributed resources (Electric utilities), *Greenhouse gases, *Electrical load, *Electric power distribution grids |
| Abstract: | Decentralized sustainable microgrids are emerging as a promising approach for addressing the increasing complexity of modern power systems while ensuring reliable and efficient operation. A fundamental driver of this transition is the partitioning of distribution networks into self-sufficient microgrids supported by the effective integration of Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), enabling improved power flow management and enhanced voltage stability. In this regard, this paper proposes a tri-stage optimization framework designed to segment power distribution systems into multiple self-sustaining microgrids while maintaining optimal network performance. In the first stage, the distribution grid is partitioned into microgrid clusters based on electrical distance metrics and bus correlation analysis. The second stage focuses on the optimal sizing and operational management of DERs and ESSs within each identified microgrid to ensure energy self-sufficiency and minimize greenhouse gas (GHG) emissions. In the third stage, an optimal resource allocation strategy is implemented, where the resources determined in the previous stage are optimally placed within the distribution network to achieve optimal power flow, reduce system losses, and maintain voltage stability under worst-case operating conditions. The proposed framework is validated using the IEEE 33-bus test system. Simulation results demonstrate its effectiveness in multi-microgrid classification, coordinated planning, and resource allocation, highlighting its superiority in enhancing system performance and resilience. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 193715946 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Tri-Stage Optimization Framework for Optimal Clustering of Power Distribution Systems into Sustainable Microgrids. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ahmed%2C+Yahia+N%2E%22">Ahmed, Yahia N.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elsayed%2C+Ahmed+Abd+Elaziz%22">Elsayed, Ahmed Abd Elaziz</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farag%2C+Hany+E%2E+Z%2E%22">Farag, Hany E. Z.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hefarag@yorku.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2050. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br />*<searchLink fieldCode="DE" term="%22Distributed+resources+%28Electric+utilities%29%22">Distributed resources (Electric utilities)</searchLink><br />*<searchLink fieldCode="DE" term="%22Greenhouse+gases%22">Greenhouse gases</searchLink><br />*<searchLink fieldCode="DE" term="%22Electrical+load%22">Electrical load</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Decentralized sustainable microgrids are emerging as a promising approach for addressing the increasing complexity of modern power systems while ensuring reliable and efficient operation. A fundamental driver of this transition is the partitioning of distribution networks into self-sufficient microgrids supported by the effective integration of Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), enabling improved power flow management and enhanced voltage stability. In this regard, this paper proposes a tri-stage optimization framework designed to segment power distribution systems into multiple self-sustaining microgrids while maintaining optimal network performance. In the first stage, the distribution grid is partitioned into microgrid clusters based on electrical distance metrics and bus correlation analysis. The second stage focuses on the optimal sizing and operational management of DERs and ESSs within each identified microgrid to ensure energy self-sufficiency and minimize greenhouse gas (GHG) emissions. In the third stage, an optimal resource allocation strategy is implemented, where the resources determined in the previous stage are optimally placed within the distribution network to achieve optimal power flow, reduce system losses, and maintain voltage stability under worst-case operating conditions. The proposed framework is validated using the IEEE 33-bus test system. Simulation results demonstrate its effectiveness in multi-microgrid classification, coordinated planning, and resource allocation, highlighting its superiority in enhancing system performance and resilience. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193715946 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19092050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 2050 Subjects: – SubjectFull: Microgrids Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Energy storage Type: general – SubjectFull: Electric power system stability Type: general – SubjectFull: Distributed resources (Electric utilities) Type: general – SubjectFull: Greenhouse gases Type: general – SubjectFull: Electrical load Type: general – SubjectFull: Electric power distribution grids Type: general Titles: – TitleFull: Tri-Stage Optimization Framework for Optimal Clustering of Power Distribution Systems into Sustainable Microgrids. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ahmed, Yahia N. – PersonEntity: Name: NameFull: Elsayed, Ahmed Abd Elaziz – PersonEntity: Name: NameFull: Farag, Hany E. Z. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 9 Titles: – TitleFull: Energies (19961073) Type: main |
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