Quantitative Assessment of Short-Term Photovoltaic Output Estimation Based on Sensor Measurements in an Actual Japanese Distribution Network.

Saved in:
Bibliographic Details
Title: Quantitative Assessment of Short-Term Photovoltaic Output Estimation Based on Sensor Measurements in an Actual Japanese Distribution Network.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 193716017
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1