Steady-State Analysis of Voltage Deviations and Three-Phase Imbalance in Distribution Networks Considering Spatiotemporal Coupling of Source-Load Uncertainties.
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| Title: | Steady-State Analysis of Voltage Deviations and Three-Phase Imbalance in Distribution Networks Considering Spatiotemporal Coupling of Source-Load Uncertainties. |
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| Authors: | Zhang, Shifeng1 (AUTHOR), Chang, Xiao1 (AUTHOR), Zhang, Min1 (AUTHOR) mevisan@126.com, Gao, Le1 (AUTHOR) |
| Source: | Energies (19961073). Jul2026, Vol. 19 Issue 13, p3220. 28p. |
| Subject Terms: | *Power distribution networks, *Spatiotemporal processes, *Power quality disturbances, *Electric vehicles, *Photovoltaic power generation |
| Abstract: | To address the deep spatiotemporal coupling of source-load dual uncertainties attributed to the high penetration of distributed photovoltaics (PVs) and electric vehicles (EVs) into distribution grids, and the difficulty of analyzing composite disturbances using traditional methods, this paper proposes a voltage quality analysis method that considers spatiotemporal coupling of source-load uncertainty, focusing on steady-state voltage deviation and three-phase imbalance problems. First, a probabilistic model of PV generation is constructed using the beta distribution combined with Monte Carlo-based scenario reduction, and high-precision forecasting of EV charging loads is achieved by an attention-based convolutional neural network and long short-term memory network. Second, multi-scenario spatiotemporal power flow calculations are conducted on the distribution network to analyze the complementary effects of voltage deviation and three-phase imbalance under the hybrid integration of PV and EV. Finally, gray wolf optimization-based variational mode decomposition is introduced to adaptively decompose the source-load power. This reveals the intrinsic mechanisms where low-frequency components dominate the fundamental amplitude variations of bus voltages, while high-frequency components exert a significant impact on voltage quality. Simulation results demonstrate that the proposed method can effectively analyze the spatiotemporal coupling of source-load uncertainties, providing technical support for the comprehensive management of voltage quality in distribution networks. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 195441483 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Steady-State Analysis of Voltage Deviations and Three-Phase Imbalance in Distribution Networks Considering Spatiotemporal Coupling of Source-Load Uncertainties. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Shifeng%22">Zhang, Shifeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Xiao%22">Chang, Xiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Min%22">Zhang, Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mevisan@126.com</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Le%22">Gao, Le</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2026, Vol. 19 Issue 13, p3220. 28p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Power+distribution+networks%22">Power distribution networks</searchLink><br />*<searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+quality+disturbances%22">Power quality disturbances</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+generation%22">Photovoltaic power generation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To address the deep spatiotemporal coupling of source-load dual uncertainties attributed to the high penetration of distributed photovoltaics (PVs) and electric vehicles (EVs) into distribution grids, and the difficulty of analyzing composite disturbances using traditional methods, this paper proposes a voltage quality analysis method that considers spatiotemporal coupling of source-load uncertainty, focusing on steady-state voltage deviation and three-phase imbalance problems. First, a probabilistic model of PV generation is constructed using the beta distribution combined with Monte Carlo-based scenario reduction, and high-precision forecasting of EV charging loads is achieved by an attention-based convolutional neural network and long short-term memory network. Second, multi-scenario spatiotemporal power flow calculations are conducted on the distribution network to analyze the complementary effects of voltage deviation and three-phase imbalance under the hybrid integration of PV and EV. Finally, gray wolf optimization-based variational mode decomposition is introduced to adaptively decompose the source-load power. This reveals the intrinsic mechanisms where low-frequency components dominate the fundamental amplitude variations of bus voltages, while high-frequency components exert a significant impact on voltage quality. Simulation results demonstrate that the proposed method can effectively analyze the spatiotemporal coupling of source-load uncertainties, providing technical support for the comprehensive management of voltage quality in distribution networks. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=195441483 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19133220 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 3220 Subjects: – SubjectFull: Power distribution networks Type: general – SubjectFull: Spatiotemporal processes Type: general – SubjectFull: Power quality disturbances Type: general – SubjectFull: Electric vehicles Type: general – SubjectFull: Photovoltaic power generation Type: general Titles: – TitleFull: Steady-State Analysis of Voltage Deviations and Three-Phase Imbalance in Distribution Networks Considering Spatiotemporal Coupling of Source-Load Uncertainties. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Shifeng – PersonEntity: Name: NameFull: Chang, Xiao – PersonEntity: Name: NameFull: Zhang, Min – PersonEntity: Name: NameFull: Gao, Le IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 13 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |
