IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2021i1p192-d713142.html
   My bibliography  Save this article

Optimal Power Dispatch in Energy Systems Considering Grid Constraints

Author

Listed:
  • Alejandro Rubio

    (DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Frank Schuldt

    (DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Peter Klement

    (DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Karsten von Maydell

    (DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

Abstract

As a consequence of the increasing share of renewable energies and sector coupling technologies, new approaches are needed for the study, planning, and control of modern energy systems. Such new structures may add extra stress to the electric grid, as is the case with heat pumps and electrical vehicles. Therefore, the optimal performance of the system must be estimated considering the constraints imposed by the different sectors. In this research, an energy system dispatch optimization model is employed. It includes an iterative approach for generating grid constraints, which is decoupled from the linear unit commitment problem. The dispatch of all energy carriers in the system is optimized while considering the physical electrical grid limits. From the considered scenarios, it was found that in a typical German neighborhood with 150 households, a PV penetration of ∼5 kW p per household can lead to curtailment of ∼60 MWh per year due to line loading. Furthermore, the proposed method eliminates grid violations due to the addition of new sectors and reduces the energy curtailment up to 45 % . With the optimization of the heat pump operation, an increase of 7 % of the self-consumption was achieved with similar results for the combination of battery systems and electrical vehicles. In conclusion, a safe and optimal operation of a complex energy system is fulfilled. Efficient control strategies and more accurate plant sizing could be derived from this work.

Suggested Citation

  • Alejandro Rubio & Frank Schuldt & Peter Klement & Karsten von Maydell, 2021. "Optimal Power Dispatch in Energy Systems Considering Grid Constraints," Energies, MDPI, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:192-:d:713142
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/1/192/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/1/192/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrei David & Brian Vad Mathiesen & Helge Averfalk & Sven Werner & Henrik Lund, 2017. "Heat Roadmap Europe: Large-Scale Electric Heat Pumps in District Heating Systems," Energies, MDPI, vol. 10(4), pages 1-18, April.
    2. Bayer, Benjamin & Matschoss, Patrick & Thomas, Heiko & Marian, Adela, 2018. "The German experience with integrating photovoltaic systems into the low-voltage grids," Renewable Energy, Elsevier, vol. 119(C), pages 129-141.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    2. Chambers, Jonathan & Narula, Kapil & Sulzer, Matthias & Patel, Martin K., 2019. "Mapping district heating potential under evolving thermal demand scenarios and technologies: A case study for Switzerland," Energy, Elsevier, vol. 176(C), pages 682-692.
    3. Matschoss, Patrick & Bayer, Benjamin & Thomas, Heiko & Marian, Adela, 2019. "The German incentive regulation and its practical impact on the grid integration of renewable energy systems," Renewable Energy, Elsevier, vol. 134(C), pages 727-738.
    4. Els van der Roest & Stijn Beernink & Niels Hartog & Jan Peter van der Hoek & Martin Bloemendal, 2021. "Towards Sustainable Heat Supply with Decentralized Multi-Energy Systems by Integration of Subsurface Seasonal Heat Storage," Energies, MDPI, vol. 14(23), pages 1-31, November.
    5. Natália Gava Gastaldo & Graciele Rediske & Paula Donaduzzi Rigo & Carmen Brum Rosa & Leandro Michels & Julio Cezar Mairesse Siluk, 2019. "What is the Profile of the Investor in Household Solar Photovoltaic Energy Systems?," Energies, MDPI, vol. 12(23), pages 1-18, November.
    6. Brinkel, N.B.G. & Schram, W.L. & AlSkaif, T.A. & Lampropoulos, I. & van Sark, W.G.J.H.M., 2020. "Should we reinforce the grid? Cost and emission optimization of electric vehicle charging under different transformer limits," Applied Energy, Elsevier, vol. 276(C).
    7. Epting, Jannis & Böttcher, Fabian & Mueller, Matthias H. & García-Gil, Alejandro & Zosseder, Kai & Huggenberger, Peter, 2020. "City-scale solutions for the energy use of shallow urban subsurface resources – Bridging the gap between theoretical and technical potentials," Renewable Energy, Elsevier, vol. 147(P1), pages 751-763.
    8. Florin Iov & Mahmood Khatibi & Jan Dimon Bendtsen, 2020. "On the Participation of Power-To-Heat Assets in Frequency Regulation Markets—A Danish Case Study," Energies, MDPI, vol. 13(18), pages 1-22, September.
    9. Edoardo De Din & Fabian Bigalke & Marco Pau & Ferdinanda Ponci & Antonello Monti, 2021. "Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids," Energies, MDPI, vol. 14(7), pages 1-23, April.
    10. Mengting Jiang & Camilo Rindt & David M. J. Smeulders, 2022. "Optimal Planning of Future District Heating Systems—A Review," Energies, MDPI, vol. 15(19), pages 1-38, September.
    11. Møller Sneum, Daniel, 2021. "Barriers to flexibility in the district energy-electricity system interface – A taxonomy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    12. Salman Siddiqui & Mark Barrett & John Macadam, 2021. "A High Resolution Spatiotemporal Urban Heat Load Model for GB," Energies, MDPI, vol. 14(14), pages 1-28, July.
    13. Aleksandar Ivančić & Joaquim Romaní & Jaume Salom & Maria-Victoria Cambronero, 2021. "Performance Assessment of District Energy Systems with Common Elements for Heating and Cooling," Energies, MDPI, vol. 14(8), pages 1-22, April.
    14. Ma, Zheng & Knotzer, Armin & Billanes, Joy Dalmacio & Jørgensen, Bo Nørregaard, 2020. "A literature review of energy flexibility in district heating with a survey of the stakeholders’ participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    15. Salah Vaisi & Saleh Mohammadi & Kyoumars Habibi, 2021. "Heat Mapping, a Method for Enhancing the Sustainability of the Smart District Heat Networks," Energies, MDPI, vol. 14(17), pages 1-17, September.
    16. Namhun Cho & Myungseok Yoon & Sungyun Choi, 2022. "Impact of Transformer Topology on Short-Circuit Analysis in Distribution Systems with Inverter-Based Distributed Generations," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    17. Volkova, A. & Koduvere, H. & Pieper, H., 2022. "Large-scale heat pumps for district heating systems in the Baltics: Potential and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Heendeniya, Charitha Buddhika & Sumper, Andreas & Eicker, Ursula, 2020. "The multi-energy system co-planning of nearly zero-energy districts – Status-quo and future research potential," Applied Energy, Elsevier, vol. 267(C).
    19. Lämmle, Manuel & Bongs, Constanze & Wapler, Jeannette & Günther, Danny & Hess, Stefan & Kropp, Michael & Herkel, Sebastian, 2022. "Performance of air and ground source heat pumps retrofitted to radiator heating systems and measures to reduce space heating temperatures in existing buildings," Energy, Elsevier, vol. 242(C).
    20. Pieper, Henrik & Krupenski, Igor & Brix Markussen, Wiebke & Ommen, Torben & Siirde, Andres & Volkova, Anna, 2021. "Method of linear approximation of COP for heat pumps and chillers based on thermodynamic modelling and off-design operation," Energy, Elsevier, vol. 230(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:192-:d:713142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.