Quantitative Assessment of Short-Term Photovoltaic Output Estimation Based on Sensor Measurements in an Actual Japanese Distribution Network.
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| Title: | Quantitative Assessment of Short-Term Photovoltaic Output Estimation Based on Sensor Measurements in an Actual Japanese Distribution Network. |
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| Authors: | Watanabe, Kohto1 (AUTHOR) koto@akane.waseda.jp, Kaneko, Akihisa2 (AUTHOR), Fujimoto, Yu2,3 (AUTHOR), Hayashi, Yasuhiro3,4 (AUTHOR), Sasaki, Shunsuke1,4 (AUTHOR), Kawazoe, Masako2,4 (AUTHOR), Kobori, Shigeru3,4 (AUTHOR), Hashikura, Yuu4 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 9, p2121. 22p. |
| Subject Terms: | *Sensor placement, *Power distribution networks, *Electrical load, *Detectors, *Forecasting, *Electric power distribution grids |
| Geographic Terms: | Japan |
| Abstract: | The importance of considering the photovoltaic (PV) output in distribution system operations and planning has increased. Voltage violations and equipment overloads may occur during PV output peaks, making accurate power flow analysis under such conditions essential. However, the PV output is typically measured as 30 min aggregated values by smart meters, which may underestimate the peak output and related power flow fluctuations. Installing high-resolution sensors at all the PV sites can address this issue; however, the associated costs are high. As a cost-effective alternative, high-resolution sensors can be deployed at representative PV sites, and their measurements can be used to estimate short-term outputs at surrounding PV sites. Implementing such an approach requires a quantitative evaluation of the relationship between the sensor number and PV output estimation accuracy. In the Chubu area of Japan, a trial region with sufficient high-resolution PV sensors exists, enabling detailed evaluation. This study developed a framework to estimate short-term PV outputs from representative sensors and used field data from the demonstration area to quantitatively assess the relationship between sensor deployment and estimation accuracy. These results provide guidance for designing cost-effective sensor placement strategies for practical network operations. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 193716017 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitative Assessment of Short-Term Photovoltaic Output Estimation Based on Sensor Measurements in an Actual Japanese Distribution Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Watanabe%2C+Kohto%22">Watanabe, Kohto</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> koto@akane.waseda.jp</i><br /><searchLink fieldCode="AR" term="%22Kaneko%2C+Akihisa%22">Kaneko, Akihisa</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fujimoto%2C+Yu%22">Fujimoto, Yu</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hayashi%2C+Yasuhiro%22">Hayashi, Yasuhiro</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sasaki%2C+Shunsuke%22">Sasaki, Shunsuke</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kawazoe%2C+Masako%22">Kawazoe, Masako</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kobori%2C+Shigeru%22">Kobori, Shigeru</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hashikura%2C+Yuu%22">Hashikura, Yuu</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2121. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Sensor+placement%22">Sensor placement</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+distribution+networks%22">Power distribution networks</searchLink><br />*<searchLink fieldCode="DE" term="%22Electrical+load%22">Electrical load</searchLink><br />*<searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br />*<searchLink fieldCode="DE" term="%22Forecasting%22">Forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Japan%22">Japan</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The importance of considering the photovoltaic (PV) output in distribution system operations and planning has increased. Voltage violations and equipment overloads may occur during PV output peaks, making accurate power flow analysis under such conditions essential. However, the PV output is typically measured as 30 min aggregated values by smart meters, which may underestimate the peak output and related power flow fluctuations. Installing high-resolution sensors at all the PV sites can address this issue; however, the associated costs are high. As a cost-effective alternative, high-resolution sensors can be deployed at representative PV sites, and their measurements can be used to estimate short-term outputs at surrounding PV sites. Implementing such an approach requires a quantitative evaluation of the relationship between the sensor number and PV output estimation accuracy. In the Chubu area of Japan, a trial region with sufficient high-resolution PV sensors exists, enabling detailed evaluation. This study developed a framework to estimate short-term PV outputs from representative sensors and used field data from the demonstration area to quantitatively assess the relationship between sensor deployment and estimation accuracy. These results provide guidance for designing cost-effective sensor placement strategies for practical network operations. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193716017 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19092121 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 2121 Subjects: – SubjectFull: Sensor placement Type: general – SubjectFull: Power distribution networks Type: general – SubjectFull: Electrical load Type: general – SubjectFull: Detectors Type: general – SubjectFull: Forecasting Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Japan Type: general Titles: – TitleFull: Quantitative Assessment of Short-Term Photovoltaic Output Estimation Based on Sensor Measurements in an Actual Japanese Distribution Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Watanabe, Kohto – PersonEntity: Name: NameFull: Kaneko, Akihisa – PersonEntity: Name: NameFull: Fujimoto, Yu – PersonEntity: Name: NameFull: Hayashi, Yasuhiro – PersonEntity: Name: NameFull: Sasaki, Shunsuke – PersonEntity: Name: NameFull: Kawazoe, Masako – PersonEntity: Name: NameFull: Kobori, Shigeru – PersonEntity: Name: NameFull: Hashikura, Yuu 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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