IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i20p7167-d1263480.html
   My bibliography  Save this article

Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision

Author

Listed:
  • Diego Ponce

    (GIREI Research Group, Electrical Engineering Department, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Alexander Aguila Téllez

    (GIREI Research Group, Electrical Engineering Department, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

  • Narayanan Krishnan

    (Department of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur 613401, India)

Abstract

The growth in the demand for electrical energy, which is driven by the constant growth of the metropolises and the expansion of the productive capacities of the industrial sector, entails the inevitable development of the electrical system to satisfy all the required demands in a convenient, efficient, and reliable manner. In this scenario, power distribution companies will continue to need to expand their electrical systems in the short and medium term to obtain the lowest investment and operating prices for the period considered in the analysis horizon. The expansion of the system can be projected statically or dynamically, which depends on the criteria that each distributor, in turn, applies in their expansion projects. Multi-criteria decision making can provide deeper analysis perspectives considering infinite possibilities for optimal network sizing and the technical, operational, quality of service, and even system reliability factors. This research proposes a multi-criteria decision technique based on the CRITIC method to determine the optimal design of an electrical distribution system. For this purpose, several design scenarios are defined with different types of electrical conductors, and the power flows are calculated in each. From these simulations, the results obtained in voltage profiles, namely active and reactive power losses, current levels, and the costs associated with the conductors used, are recorded. With the multi-criteria technique, the winning alternative is the design scenario containing the best joint solutions for the analysis variables. The proposed methodology is validated in an IEEE 34-bar test system. The Matpower tool, available through Matlab, generates power flows for each proposed design case. The results obtained in the analysis variables are generated and stored in a decision matrix of 210 alternatives. The proposed method represents a novel and powerful alternative for design proposals of distribution systems considering quality, efficiency, and cost criteria.

Suggested Citation

  • Diego Ponce & Alexander Aguila Téllez & Narayanan Krishnan, 2023. "Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision," Energies, MDPI, vol. 16(20), pages 1-17, October.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7167-:d:1263480
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/20/7167/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/20/7167/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diemuodeke, E.O. & Addo, A. & Oko, C.O.C. & Mulugetta, Y. & Ojapah, M.M., 2019. "Optimal mapping of hybrid renewable energy systems for locations using multi-criteria decision-making algorithm," Renewable Energy, Elsevier, vol. 134(C), pages 461-477.
    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. Michael O. Ukoba & Ogheneruona E. Diemuodeke & Mohammed Alghassab & Henry I. Njoku & Muhammad Imran & Zafar A. Khan, 2020. "Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    2. Nallapaneni Manoj Kumar & Shauhrat S. Chopra & Aneesh A. Chand & Rajvikram Madurai Elavarasan & G.M. Shafiullah, 2020. "Hybrid Renewable Energy Microgrid for a Residential Community: A Techno-Economic and Environmental Perspective in the Context of the SDG7," Sustainability, MDPI, vol. 12(10), pages 1-30, May.
    3. Al-Attar Ali Mohamed & Shimaa Ali & Salem Alkhalaf & Tomonobu Senjyu & Ashraf M. Hemeida, 2019. "Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    4. G.S. Chebotareva & A.A. Dvinayninov, 2021. "An Economic Alternative to Replacing Centralized Gas Supply with Autonomous Biogas Facilities in Russian Cities," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(3), pages 582-612.
    5. Ullah, Zia & Elkadeem, M.R. & Kotb, Kotb M. & Taha, Ibrahim B.M. & Wang, Shaorong, 2021. "Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply," Renewable Energy, Elsevier, vol. 179(C), pages 885-910.
    6. Wasiu Olalekan Idris & Mohd Zamri Ibrahim & Aliashim Albani, 2020. "The Status of the Development of Wind Energy in Nigeria," Energies, MDPI, vol. 13(23), pages 1-16, November.
    7. Icaza-Alvarez, Daniel & Jurado, Francisco & Tostado-Véliz, Marcos & Arevalo, Paúl, 2022. "Decarbonization of the Galapagos Islands. Proposal to transform the energy system into 100% renewable by 2050," Renewable Energy, Elsevier, vol. 189(C), pages 199-220.
    8. Rad, Mohammad Amin Vaziri & Ghasempour, Roghaye & Rahdan, Parisa & Mousavi, Soroush & Arastounia, Mehrdad, 2020. "Techno-economic analysis of a hybrid power system based on the cost-effective hydrogen production method for rural electrification, a case study in Iran," Energy, Elsevier, vol. 190(C).
    9. Alicja Lenarczyk & Marcin Jaskólski & Paweł Bućko, 2022. "The Application of a Multi-Criteria Decision-Making for Indication of Directions of the Development of Renewable Energy Sources in the Context of Energy Policy," Energies, MDPI, vol. 15(24), pages 1-21, December.
    10. Razmjoo, A. & Gakenia Kaigutha, L. & Vaziri Rad, M.A. & Marzband, M. & Davarpanah, A. & Denai, M., 2021. "A Technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area," Renewable Energy, Elsevier, vol. 164(C), pages 46-57.
    11. Chao Min & Feifei Fan & Zhaozhong Yang & Xiaogang Li, 2019. "An Iterative Algorithm for the Nonlinear MC 2 Model with Variational Inequality Method," Mathematics, MDPI, vol. 7(6), pages 1-13, June.
    12. Donald Ukpanyang & Julio Terrados-Cepeda & Manuel Jesus Hermoso-Orzaez, 2022. "Multi-Criteria Selection of Waste-to-Energy Technologies for Slum/Informal Settlements Using the PROMETHEE Technique: A Case Study of the Greater Karu Urban Area in Nigeria," Energies, MDPI, vol. 15(10), pages 1-26, May.
    13. Abdulaziz Alanazi & Mohana Alanazi, 2023. "Multicriteria Decision-Making for Evaluating Solar Energy Source of Saudi Arabia," Sustainability, MDPI, vol. 15(13), pages 1-37, June.
    14. Olubayo M. Babatunde & Josiah L. Munda & Yskandar Hamam, 2019. "Selection of a Hybrid Renewable Energy Systems for a Low-Income Household," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    15. Cai, Wei & Li, Xing & Maleki, Akbar & Pourfayaz, Fathollah & Rosen, Marc A. & Alhuyi Nazari, Mohammad & Bui, Dieu Tien, 2020. "Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology," Energy, Elsevier, vol. 201(C).
    16. Mahdavi, Meisam & Jurado, Francisco & Ramos, Ricardo Alan Verdú & Awaafo, Augustine, 2023. "Hybrid biomass, solar and wind electricity generation in rural areas of Fez-Meknes region in Morocco considering water consumption of animals and anaerobic digester," Applied Energy, Elsevier, vol. 343(C).
    17. Miao, Huiying & Yu, Yadong & Kharrazi, Ali & Ma, Tieju, 2023. "Multi-criteria decision analysis for the planning of island microgrid system: A case study of Yongxing island, China," Energy, Elsevier, vol. 284(C).
    18. Indre Siksnelyte-Butkiene & Edmundas Kazimieras Zavadskas & Dalia Streimikiene, 2020. "Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review," Energies, MDPI, vol. 13(5), pages 1-22, March.
    19. Waewsak, Jompob & Ali, Shahid & Natee, Warut & Kongruang, Chuleerat & Chancham, Chana & Gagnon, Yves, 2020. "Assessment of hybrid, firm renewable energy-based power plants: Application in the southernmost region of Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    20. Mariam Gómez Sánchez & Yunesky Masip Macia & Alejandro Fernández Gil & Carlos Castro & Suleivys M. Nuñez González & Jacqueline Pedrera Yanes, 2020. "A Mathematical Model for the Optimization of Renewable Energy Systems," Mathematics, MDPI, vol. 9(1), pages 1-16, December.

    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:16:y:2023:i:20:p:7167-:d:1263480. 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.