IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i10p2517-d358852.html
   My bibliography  Save this article

Multiobjective Approach for Medium- and Low-Voltage Planning of Power Distribution Systems Considering Renewable Energy and Robustness

Author

Listed:
  • Diogo Rupolo

    (Electrical Engineering Departament, São Paulo State University, UNESP, Ilha Solteira 15385-000, Brazil)

  • Benvindo Rodrigues Pereira Junior

    (Department of Electrical Engineering and Computation, University of São Paulo, São Carlos 13566-590, Brazil)

  • Javier Contreras

    (Higher Technical School of Industrial Engineering, University of Castilla-La Mancha, 13071 Ciudad Real, Spain)

  • José Roberto Sanches Mantovani

    (Electrical Engineering Departament, São Paulo State University, UNESP, Ilha Solteira 15385-000, Brazil)

Abstract

In this paper, a multiobjective approach to carry out the planning of medium-voltage (MV) and low-voltage (LV) distribution systems, considering renewable energy sources (RES) and robustness, is proposed. Due to the uncertainties associated with RES and demand, the proposed planning methodology takes into account a robust planning index (RPI). This RPI allows us to evaluate the robustness estimation associated with each planning solution. The objective function in the mathematical model considers the costs of investment and operation and the robustness of the planning proposals. Due to the computational complexity of this problem, which is difficult to solve by means of classical optimization techniques, MV/LV planning is solved by a decomposition search and a general variable neighborhood search (GVNS) algorithm. To demonstrate the efficiency and robustness of this methodology, tests are performed in an integrated distribution system with 50 MV nodes and 410 LV nodes. Our numerical results show that the proposed methodology makes it possible to minimize costs and improve robustness levels in distribution system planning.

Suggested Citation

  • Diogo Rupolo & Benvindo Rodrigues Pereira Junior & Javier Contreras & José Roberto Sanches Mantovani, 2020. "Multiobjective Approach for Medium- and Low-Voltage Planning of Power Distribution Systems Considering Renewable Energy and Robustness," Energies, MDPI, vol. 13(10), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2517-:d:358852
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/10/2517/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/10/2517/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viral, Rajkumar & Khatod, D.K., 2012. "Optimal planning of distributed generation systems in distribution system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5146-5165.
    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. Guido C. Guerrero-Liquet & Santiago Oviedo-Casado & J. M. Sánchez-Lozano & M. Socorro García-Cascales & Javier Prior & Antonio Urbina, 2018. "Determination of the Optimal Size of Photovoltaic Systems by Using Multi-Criteria Decision-Making Methods," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    2. Funcke, Simon & Bauknecht, Dierk, 2016. "Typology of centralised and decentralised visions for electricity infrastructure," Utilities Policy, Elsevier, vol. 40(C), pages 67-74.
    3. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "An optimal investment planning framework for multiple distributed generation units in industrial distribution systems," Applied Energy, Elsevier, vol. 124(C), pages 62-72.
    4. Razavi, Seyed-Ehsan & Rahimi, Ehsan & Javadi, Mohammad Sadegh & Nezhad, Ali Esmaeel & Lotfi, Mohamed & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Impact of distributed generation on protection and voltage regulation of distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 157-167.
    5. J. Rajalakshmi & S. Durairaj, 2021. "Application of multi-objective optimization algorithm for siting and sizing of distributed generations in distribution networks," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 267-289, February.
    6. Sultana, U. & Khairuddin, Azhar B. & Aman, M.M. & Mokhtar, A.S. & Zareen, N., 2016. "A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 363-378.
    7. Sergio Montoya-Bueno & Jose Ignacio Muñoz-Hernandez & Javier Contreras & Luis Baringo, 2020. "A Benders’ Decomposition Approach for Renewable Generation Investment in Distribution Systems," Energies, MDPI, vol. 13(5), pages 1-19, March.
    8. Fardadi, Mahshid & McLarty, Dustin F. & Jabbari, Faryar, 2016. "Investigation of thermal control for different SOFC flow geometries," Applied Energy, Elsevier, vol. 178(C), pages 43-55.
    9. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    10. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.
    11. Jung, Jaesung & Onen, Ahmet & Russell, Kevin & Broadwater, Robert P., 2015. "Local steady-state and quasi steady-state impact studies of high photovoltaic generation penetration in power distribution circuits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 569-583.
    12. Singh, Bindeshwar & Sharma, Janmejay, 2017. "A review on distributed generation planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 529-544.
    13. Chandan Kishore & Smarajit Ghosh & Vinod Karar, 2018. "Symmetric Fuzzy Logic and IBFOA Solutions for Optimal Position and Rating of Capacitors Allocated to Radial Distribution Networks," Energies, MDPI, vol. 11(4), pages 1-14, March.
    14. Resch, Matthias & Bühler, Jochen & Klausen, Mira & Sumper, Andreas, 2017. "Impact of operation strategies of large scale battery systems on distribution grid planning in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1042-1063.
    15. Dhillon, Javed & Kumar, Arun & Singal, S.K., 2014. "Optimization methods applied for Wind–PSP operation and scheduling under deregulated market: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 682-700.
    16. Zhang, Xinjing & Chen, Haisheng & Xu, Yujie & Li, Wen & He, Fengjuan & Guo, Huan & Huang, Ye, 2017. "Distributed generation with energy storage systems: A case study," Applied Energy, Elsevier, vol. 204(C), pages 1251-1263.
    17. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    18. Huilian Liao, 2019. "Review on Distribution Network Optimization under Uncertainty," Energies, MDPI, vol. 12(17), pages 1-21, September.
    19. Frank Pierie & Christian E. J. van Someren & Sandór N. M. Kruse & Gideon A. H. Laugs & René M. J. Benders & Henri C. Moll, 2021. "Local Balancing of the Electricity Grid in a Renewable Municipality; Analyzing the Effectiveness and Cost of Decentralized Load Balancing Looking at Multiple Combinations of Technologies," Energies, MDPI, vol. 14(16), pages 1-35, August.
    20. Kang, Jing & Wang, Shengwei & Yan, Chengchu, 2019. "A new distributed energy system configuration for cooling dominated districts and the performance assessment based on real site measurements," Renewable Energy, Elsevier, vol. 131(C), pages 390-403.

    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:13:y:2020:i:10:p:2517-:d:358852. 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.