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Reactive Power Management Considering Stochastic Optimization under the Portuguese Reactive Power Policy Applied to DER in Distribution Networks

Author

Listed:
  • Tiago Abreu

    (INESC TEC - INESC Technology and Science, Centre for Power and Energy Systems, 4200-465 Porto, Portugal)

  • Tiago Soares

    (INESC TEC - INESC Technology and Science, Centre for Power and Energy Systems, 4200-465 Porto, Portugal)

  • Leonel Carvalho

    (INESC TEC - INESC Technology and Science, Centre for Power and Energy Systems, 4200-465 Porto, Portugal)

  • Hugo Morais

    (INESC-ID, Department of Electrical and Computer Engineering, Instituto Superior Técnico-IST, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

  • Tiago Simão

    (EDP Distribution; 1050-121 Lisbon, Portugal)

  • Miguel Louro

    (EDP Distribution; 1050-121 Lisbon, Portugal)

Abstract

Challenges in the coordination between the transmission system operator (TSO) and the distribution system operator (DSO) have risen continuously with the integration of distributed energy resources (DER). These technologies have the possibility to provide reactive power support for system operators. Considering the Portuguese reactive power policy as an example of the regulatory framework, this paper proposes a methodology for proactive reactive power management of the DSO using the renewable energy sources (RES) considering forecast uncertainty available in the distribution system. The proposed method applies a stochastic sequential alternative current (AC)-optimal power flow (SOPF) that returns trustworthy solutions for the DSO and optimizes the use of reactive power between the DSO and DER. The method is validated using a 37-bus distribution network considering real data. Results proved that the method improves the reactive power management by taking advantage of the full capabilities of the DER and by reducing the injection of reactive power by the TSO in the distribution network and, therefore, reducing losses.

Suggested Citation

  • Tiago Abreu & Tiago Soares & Leonel Carvalho & Hugo Morais & Tiago Simão & Miguel Louro, 2019. "Reactive Power Management Considering Stochastic Optimization under the Portuguese Reactive Power Policy Applied to DER in Distribution Networks," Energies, MDPI, vol. 12(21), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4028-:d:279317
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    References listed on IDEAS

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    1. Gayatri, M.T.L. & Parimi, Alivelu.M. & Pavan Kumar, A.V., 2018. "A review of reactive power compensation techniques in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1030-1036.
    2. Ruester, Sophia & Schwenen, Sebastian & Batlle, Carlos & Pérez-Arriaga, Ignacio, 2014. "From distribution networks to smart distribution systems: Rethinking the regulation of European electricity DSOs," Utilities Policy, Elsevier, vol. 31(C), pages 229-237.
    3. David Sebastian Stock & Francesco Sala & Alberto Berizzi & Lutz Hofmann, 2018. "Optimal Control of Wind Farms for Coordinated TSO-DSO Reactive Power Management," Energies, MDPI, vol. 11(1), pages 1-25, January.
    4. SeokJu Kang & Jaewoo Kim & Jung-Wook Park & Seung-Mook Baek, 2019. "Reactive Power Management Based on Voltage Sensitivity Analysis of Distribution System with High Penetration of Renewable Energies," Energies, MDPI, vol. 12(8), pages 1-20, April.
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    Cited by:

    1. Nickolay I. Shchurov & Sergey V. Myatezh & Boris V. Malozyomov & Alexander A. Shtang & Nikita V. Martyushev & Roman V. Klyuev & Sergei I. Dedov, 2021. "Determination of Inactive Powers in a Single-Phase AC Network," Energies, MDPI, vol. 14(16), pages 1-13, August.
    2. Zhu, Junpeng & Huang, Yong & Lu, Shuai & Shen, Mengya & Yuan, Yue, 2024. "Incorporating local uncertainty management into distribution system planning: An adaptive robust optimization approach," Applied Energy, Elsevier, vol. 363(C).

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