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Spatial Optimization of Wind and Solar Farm Location in Electric Power Systems Considering Power System Flexibility Characteristics.

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Title: Spatial Optimization of Wind and Solar Farm Location in Electric Power Systems Considering Power System Flexibility Characteristics.
Authors: Sigitov, Oleg1 (AUTHOR), Iliev, Iliya2 (AUTHOR), Beloev, Hristo3 (AUTHOR), Beloev, Ivan4 (AUTHOR), Suslov, Konstantin5,6 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2901. 21p.
Subject Terms: *Electric power systems, *Spatial arrangement, *Wind power plants, *Renewable energy sources, *Economic efficiency, *Solar power plants
Abstract: The rapid development of wind and solar energy necessitates a solution to the problem of the optimal spatial placement of wind farms (WFs) and solar farms (SFs) within electric power systems. The non-stationary generation schedules of WFs and SFs place increased demands on the flexibility of conventional generation, determined by the intensity of net load fluctuations. This paper proposes a methodology for the spatial optimization of WF and SF location, in which the optimization criteria include net load indicators (rate of net load change and net load increment), the base power of the RES system, and the economic criterion of maximum electricity generation. Unlike existing approaches, in which the geographical smoothing effect on power fluctuations is treated as an incidental outcome, the proposed methodology employs it as an explicit optimization criterion for RES placement. The algorithm provides for the preliminary ranking of candidate sites based on the maximum electricity generation criterion, followed by the redistribution of generating capacities among sites with an acceptable capacity factor in accordance with the selected optimization criterion. The methodology was tested on a model comprising six potential wind farm sites and two solar farm sites with a total installed capacity of 600 MW and a maximum power system load of 3000 MW. The obtained results show that the optimal redistribution of installed capacities among sites allows a 31.5% reduction in net load variability intensity to be achieved with an 11.6% reduction in electricity generation relative to the maximum possible. The study is based on idealized daily generation and consumption profiles and is theoretical in nature, proposing a pre-screening tool for RES siting that complements rather than replaces subsequent network-constrained planning studies, including power-flow analysis and grid verification, and establishes a methodological foundation for further development using real multi-year retrospective data. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194909350
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Spatial Optimization of Wind and Solar Farm Location in Electric Power Systems Considering Power System Flexibility Characteristics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sigitov%2C+Oleg%22">Sigitov, Oleg</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Iliev%2C+Iliya%22">Iliev, Iliya</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beloev%2C+Hristo%22">Beloev, Hristo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beloev%2C+Ivan%22">Beloev, Ivan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suslov%2C+Konstantin%22">Suslov, Konstantin</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)
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  Label: Source
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2901. 21p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Electric+power+systems%22">Electric power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Spatial+arrangement%22">Spatial arrangement</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+power+plants%22">Wind power plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Economic+efficiency%22">Economic efficiency</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+power+plants%22">Solar power plants</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The rapid development of wind and solar energy necessitates a solution to the problem of the optimal spatial placement of wind farms (WFs) and solar farms (SFs) within electric power systems. The non-stationary generation schedules of WFs and SFs place increased demands on the flexibility of conventional generation, determined by the intensity of net load fluctuations. This paper proposes a methodology for the spatial optimization of WF and SF location, in which the optimization criteria include net load indicators (rate of net load change and net load increment), the base power of the RES system, and the economic criterion of maximum electricity generation. Unlike existing approaches, in which the geographical smoothing effect on power fluctuations is treated as an incidental outcome, the proposed methodology employs it as an explicit optimization criterion for RES placement. The algorithm provides for the preliminary ranking of candidate sites based on the maximum electricity generation criterion, followed by the redistribution of generating capacities among sites with an acceptable capacity factor in accordance with the selected optimization criterion. The methodology was tested on a model comprising six potential wind farm sites and two solar farm sites with a total installed capacity of 600 MW and a maximum power system load of 3000 MW. The obtained results show that the optimal redistribution of installed capacities among sites allows a 31.5% reduction in net load variability intensity to be achieved with an 11.6% reduction in electricity generation relative to the maximum possible. The study is based on idealized daily generation and consumption profiles and is theoretical in nature, proposing a pre-screening tool for RES siting that complements rather than replaces subsequent network-constrained planning studies, including power-flow analysis and grid verification, and establishes a methodological foundation for further development using real multi-year retrospective data. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19122901
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 2901
    Subjects:
      – SubjectFull: Electric power systems
        Type: general
      – SubjectFull: Spatial arrangement
        Type: general
      – SubjectFull: Wind power plants
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Economic efficiency
        Type: general
      – SubjectFull: Solar power plants
        Type: general
    Titles:
      – TitleFull: Spatial Optimization of Wind and Solar Farm Location in Electric Power Systems Considering Power System Flexibility Characteristics.
        Type: main
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          Name:
            NameFull: Sigitov, Oleg
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            NameFull: Iliev, Iliya
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            NameFull: Beloev, Hristo
      – PersonEntity:
          Name:
            NameFull: Beloev, Ivan
      – PersonEntity:
          Name:
            NameFull: Suslov, Konstantin
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          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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              Value: 19
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Energies (19961073)
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