IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p4221-d1396686.html
   My bibliography  Save this article

Optimal Substation Placement: A Paradigm for Advancing Electrical Grid Sustainability

Author

Listed:
  • Marius Eugen Țiboacă-Ciupăgeanu

    (Power Engineering Faculty, Science and Technology University POLITEHNICA of Bucharest, 060042 Bucharest, Romania)

  • Dana Alexandra Țiboacă-Ciupăgeanu

    (Independent Researcher, 061981 Bucharest, Romania)

Abstract

The critical importance of optimal substation placement intensifies as the world experiences sustained economic expansion and firmly pursues the decarbonization process. This paper develops an integrative approach to determining the optimal location for a new substation considering the evolving power framework. To this end, a projected 2% national load growth is taken into account, in accordance with the foresight of the Romanian authorities, emphasizing the need to place new substations to enhance the grid’s sustainability. Leveraging the Weibull distribution, a dataset is generated to simulate the anticipated load increase, starting from real power datasets in Romania. Two algorithms are designed for optimal substation positioning: geometric (center-of-gravity-based) and machine learning (K-means clustering). The primary comparison criterion is the minimization of power losses during energy distribution. The results reveal the machine learning approach (i.e., K-means clustering) as the superior alternative, attaining a 60% success rate in minimizing the power losses. However, acknowledging computational constraints, the concurrent utilization of both algorithms is advocated for optimal substation location selection, indicating a potential improvement in outcomes. This study emphasizes the critical need for advanced algorithms, stressing their role in mitigating power losses and optimizing energy utilization in response to evolving load patterns and sustainability goals.

Suggested Citation

  • Marius Eugen Țiboacă-Ciupăgeanu & Dana Alexandra Țiboacă-Ciupăgeanu, 2024. "Optimal Substation Placement: A Paradigm for Advancing Electrical Grid Sustainability," Sustainability, MDPI, vol. 16(10), pages 1-14, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4221-:d:1396686
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/4221/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/10/4221/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
    2. Papadis, Elisa & Tsatsaronis, George, 2020. "Challenges in the decarbonization of the energy sector," Energy, Elsevier, vol. 205(C).
    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. Arsani Alina & Stefan George, 2024. "Energy Transition and European Sub-Models. Restructuring EU Economy," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 86-101.
    2. Al-Jabri, Hareb & Das, Probir & Khan, Shoyeb & AbdulQuadir, Mohammad & Thaher, Mehmoud Ibrahim & Hoekman, Kent & Hawari, Alaa H., 2022. "A comparison of bio-crude oil production from five marine microalgae – Using life cycle analysis," Energy, Elsevier, vol. 251(C).
    3. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    4. Jānis Krūmiņš & Māris Kļaviņš, 2023. "Investigating the Potential of Nuclear Energy in Achieving a Carbon-Free Energy Future," Energies, MDPI, vol. 16(9), pages 1-31, April.
    5. Verdone, Alessio & Scardapane, Simone & Panella, Massimo, 2024. "Explainable Spatio-Temporal Graph Neural Networks for multi-site photovoltaic energy production," Applied Energy, Elsevier, vol. 353(PB).
    6. Jesus Beyza & Jose M. Yusta, 2021. "Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures," Energies, MDPI, vol. 14(7), pages 1-18, April.
    7. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).
    8. Martins, Flavio Pinheiro & De-León Almaraz, Sofía & Botelho Junior, Amilton Barbosa & Azzaro-Pantel, Catherine & Parikh, Priti, 2024. "Hydrogen and the sustainable development goals: Synergies and trade-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
    9. Abdul-Salam, Yakubu & Kemp, Alex & Phimister, Euan, 2022. "Energy transition in the UKCS – Modelling the effects of carbon emission charges on upstream petroleum operations," Energy Economics, Elsevier, vol. 108(C).
    10. Stamatios K. Chrysikopoulos & Panos T. Chountalas & Dimitrios A. Georgakellos & Athanasios G. Lagodimos, 2024. "Decarbonization in the Oil and Gas Sector: The Role of Power Purchase Agreements and Renewable Energy Certificates," Sustainability, MDPI, vol. 16(15), pages 1-24, July.
    11. N. Thangaiyarkarasi & S. Vanitha, 2021. "The Impact of Financial Development on Decarbonization Factors of Carbon Emissions: A Global Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 353-364.
    12. Alain Aoun & Mehdi Adda & Adrian Ilinca & Mazen Ghandour & Hussein Ibrahim, 2024. "Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model," Energies, MDPI, vol. 17(6), pages 1-21, March.
    13. Tinta, Abdoulganiour Almame, 2023. "Energy substitution in Africa: Cross-regional differentiation effects," Energy, Elsevier, vol. 263(PA).
    14. Yu, Qun & Li, Zhiyi & Han, Xutao & Ju, Ping & Shahidehpour, Mohammad, 2024. "End-to-end learning for stochastic preventive dispatch of renewables-rich power systems in abnormal weather conditions," Renewable Energy, Elsevier, vol. 234(C).
    15. Martina Ricci & Marcello Benvenuto & Stefano Gino Mosele & Roberto Pacciani & Michele Marconcini, 2022. "Predicting the Impact of Compressor Flexibility Improvements on Heavy-Duty Gas Turbines for Minimum and Base Load Conditions," Energies, MDPI, vol. 15(20), pages 1-14, October.
    16. Indre Siksnelyte-Butkiene & Dalia Streimikiene, 2022. "Sustainable Development of Road Transport in the EU: Multi-Criteria Analysis of Countries’ Achievements," Energies, MDPI, vol. 15(21), pages 1-25, November.
    17. Zehtabiyan-Rezaie, Navid & Abkar, Mahdi, 2024. "An extended k−ɛ model for wake-flow simulation of wind farms," Renewable Energy, Elsevier, vol. 222(C).
    18. Santa Margarida Santos & Ana Carolina Assis & Leandro Gomes & Catarina Nobre & Paulo Brito, 2022. "Waste Gasification Technologies: A Brief Overview," Waste, MDPI, vol. 1(1), pages 1-26, December.
    19. Xueyang Zhang & Shengjun Huang & Qingxia Li & Rui Wang & Tao Zhang & Bo Guo, 2024. "Nodal Invulnerability Recovery Considering Power Generation Balance: A Bi-Objective Robust Optimization Framework," Mathematics, MDPI, vol. 12(12), pages 1-19, June.
    20. Paula Riquelme-García & Miriam Navlani-García & Diego Cazorla-Amorós, 2024. "Hydrogen Storage System Attained by HCOOH-CO 2 Couple: Recent Developments in Pd-Based Carbon-Supported Heterogeneous Catalysts," Energies, MDPI, vol. 17(1), pages 1-28, January.

    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:jsusta:v:16:y:2024:i:10:p:4221-:d:1396686. 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.