IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i21p7826-d950266.html
   My bibliography  Save this article

Assessment of Smart Grid Systems for Electricity Using Power Maclaurin Symmetric Mean Operators Based on T-Spherical Fuzzy Information

Author

Listed:
  • Areeba Naseem

    (Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan)

  • Kifayat Ullah

    (Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan)

  • Maria Akram

    (Department of Mathematics, Riphah International University, Lahore Campus, Lahore 54000, Pakistan)

  • Darko Božanić

    (Military Academy, University of Defense in Belgrade, 11000 Belgrade, Serbia)

  • Goran Ćirović

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica-6, 21000 Novi Sad, Serbia)

Abstract

Traditional electricity networks are replaced by smart grids to increase efficiency at a low cost. Several energy projects in Pakistan have been developed, while others are currently in the planning stages. To assess the performance of the smart grids in Pakistan, this article employs a multi-attribute group decision-making (MAGDM) strategy based on power Maclaurin symmetric mean (PMSM) operators. We proposed a T-spherical fuzzy (TSF) power MSM (TSFPMSM), and a weighted TSFPMSM (WTSFPMSM) operator. The proposed work aims to analyze the problem involving smart grids in an uncertain environment by covering four aspects of uncertain information. The idempotency, boundedness, and monotonicity features of the proposed TSFPMSM are investigated. In order to assess Pakistan’s smart grid networks based on the suggested TSFPMSM operators, a MAGDM algorithm has been developed. The sensitivity analysis of the proposed numerical example is analyzed based on observing the reaction of the variation of the sensitive parameters, followed by a comprehensive comparative study. The comparison results show the superiority of the proposed approach.

Suggested Citation

  • Areeba Naseem & Kifayat Ullah & Maria Akram & Darko Božanić & Goran Ćirović, 2022. "Assessment of Smart Grid Systems for Electricity Using Power Maclaurin Symmetric Mean Operators Based on T-Spherical Fuzzy Information," Energies, MDPI, vol. 15(21), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7826-:d:950266
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/21/7826/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/21/7826/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zeeshan Ali & Tahir Mahmood & Miin-Shen Yang, 2020. "TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    2. Tahir Mahmood & Ali Jaballah, 2020. "A Novel Approach towards Bipolar Soft Sets and Their Applications," Journal of Mathematics, Hindawi, vol. 2020, pages 1-11, October.
    3. Qaisar Khan & Jeonghwan Gwak & Muhammad Shahzad & Muhammad Kamran Alam, 2021. "A Novel Approached Based on T-Spherical Fuzzy Schweizer-Sklar Power Heronian Mean Operator for Evaluating Water Reuse Applications under Uncertainty," Sustainability, MDPI, vol. 13(13), pages 1-35, June.
    4. Kifayat Ullah, 2021. "Picture Fuzzy Maclaurin Symmetric Mean Operators and Their Applications in Solving Multiattribute Decision-Making Problems," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, October.
    5. Mujab Waqar & Kifayat Ullah & Dragan Pamucar & Goran Jovanov & Ðordje Vranješ, 2022. "An Approach for the Analysis of Energy Resource Selection Based on Attributes by Using Dombi T-Norm Based Aggregation Operators," Energies, MDPI, vol. 15(11), pages 1-23, May.
    6. Maria Akram & Kifayat Ullah & Dragan Pamucar, 2022. "Performance Evaluation of Solar Energy Cells Using the Interval-Valued T-Spherical Fuzzy Bonferroni Mean Operators," Energies, MDPI, vol. 15(1), pages 1-24, January.
    7. Indre Siksnelyte & Edmundas Kazimieras Zavadskas & Dalia Streimikiene & Deepak Sharma, 2018. "An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues," Energies, MDPI, vol. 11(10), pages 1-21, October.
    8. Rodrigo A. Estévez & Valeria Espinoza & Roberto D. Ponce Oliva & Felipe Vásquez-Lavín & Stefan Gelcich, 2021. "Multi-Criteria Decision Analysis for Renewable Energies: Research Trends, Gaps and the Challenge of Improving Participation," Sustainability, MDPI, vol. 13(6), pages 1-13, March.
    9. Wei Yang & Yongfeng Pang, 2022. "T-Spherical Fuzzy Bonferroni Mean Operators and Their Application in Multiple Attribute Decision Making," Mathematics, MDPI, vol. 10(6), pages 1-33, March.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria Akram & Kifayat Ullah & Goran Ćirović & Dragan Pamucar, 2023. "Algorithm for Energy Resource Selection Using Priority Degree-Based Aggregation Operators with Generalized Orthopair Fuzzy Information and Aczel–Alsina Aggregation Operators," Energies, MDPI, vol. 16(6), pages 1-22, March.
    2. Mario Versaci & Fabio La Foresta, 2024. "Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System," Energies, MDPI, vol. 17(2), pages 1-31, January.

    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. Mujab Waqar & Kifayat Ullah & Dragan Pamucar & Goran Jovanov & Ðordje Vranješ, 2022. "An Approach for the Analysis of Energy Resource Selection Based on Attributes by Using Dombi T-Norm Based Aggregation Operators," Energies, MDPI, vol. 15(11), pages 1-23, May.
    2. Majed Albaity & Tahir Mahmood, 2022. "Medical Diagnosis and Pattern Recognition Based on Generalized Dice Similarity Measures for Managing Intuitionistic Hesitant Fuzzy Information," Mathematics, MDPI, vol. 10(15), pages 1-15, August.
    3. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    4. Tahir Mahmood & Ubaid ur Rehman & Zeeshan Ali & Muhammad Aslam & Ronnason Chinram, 2022. "Identification and Classification of Aggregation Operators Using Bipolar Complex Fuzzy Settings and Their Application in Decision Support Systems," Mathematics, MDPI, vol. 10(10), pages 1-19, May.
    5. Qianyun Wen & Qiyao Yan & Junjie Qu & Yang Liu, 2021. "Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households," Mathematics, MDPI, vol. 9(19), pages 1-22, September.
    6. Małgorzata Trojanowska & Krzysztof Nęcka, 2020. "Selection of the Multiple-Criteria Decision-Making Method for Evaluation of Sustainable Energy Development: A Case Study of Poland," Energies, MDPI, vol. 13(23), pages 1-24, November.
    7. Majed Albaity & Tahir Mahmood & Zeeshan Ali, 2023. "Impact of Machine Learning and Artificial Intelligence in Business Based on Intuitionistic Fuzzy Soft WASPAS Method," Mathematics, MDPI, vol. 11(6), pages 1-21, March.
    8. Maria Akram & Kifayat Ullah & Goran Ćirović & Dragan Pamucar, 2023. "Algorithm for Energy Resource Selection Using Priority Degree-Based Aggregation Operators with Generalized Orthopair Fuzzy Information and Aczel–Alsina Aggregation Operators," Energies, MDPI, vol. 16(6), pages 1-22, March.
    9. Dimitra G. Vagiona, 2021. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece," Energies, MDPI, vol. 14(24), pages 1-23, December.
    10. Alvaro Rodríguez-Prieto & Ana María Camacho & Carlos Mendoza & John Kickhofel & Guglielmo Lomonaco, 2021. "Evolution of Standardized Specifications on Materials, Manufacturing and In-Service Inspection of Nuclear Reactor Vessels," Sustainability, MDPI, vol. 13(19), pages 1-25, September.
    11. Martínez-Martínez, Yenisleidy & Dewulf, Jo & Casas-Ledón, Yannay, 2022. "GIS-based site suitability analysis and ecosystem services approach for supporting renewable energy development in south-central Chile," Renewable Energy, Elsevier, vol. 182(C), pages 363-376.
    12. Gigih Rahmandhani Setyantho & Hansaem Park & Seongju Chang, 2021. "Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    13. Andrzej Ożadowicz & Gabriela Walczyk, 2023. "Energy Performance and Control Strategy for Dynamic Façade with Perovskite PV Panels—Technical Analysis and Case Study," Energies, MDPI, vol. 16(9), pages 1-23, April.
    14. Sebastian Schär & Jutta Geldermann, 2021. "Adopting Multiactor Multicriteria Analysis for the Evaluation of Energy Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    15. Dzido, Aleksandra & Krawczyk, Piotr & Wołowicz, Marcin & Badyda, Krzysztof, 2022. "Comparison of advanced air liquefaction systems in Liquid Air Energy Storage applications," Renewable Energy, Elsevier, vol. 184(C), pages 727-739.
    16. Goraj, Rafał & Kiciński, Marcin & Ślefarski, Rafał & Duczkowska, Anna, 2023. "Validity of decision criteria for selecting power-to-gas projects in Poland," Utilities Policy, Elsevier, vol. 83(C).
    17. Rubio-Aliaga, Alvaro & García-Cascales, M. Socorro & Sánchez-Lozano, Juan Miguel & Molina-Garcia, Angel, 2021. "MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example," Renewable Energy, Elsevier, vol. 163(C), pages 213-224.
    18. Jocelyn Alejandra Cortez-Núñez & María Eugenia Gutiérrez-Castillo & Violeta Y. Mena-Cervantes & Ángel Refugio Terán-Cuevas & Luis Raúl Tovar-Gálvez & Juan Velasco, 2020. "A GIS Approach Land Suitability and Availability Analysis of Jatropha Curcas L. Growth in Mexico as a Potential Source for Biodiesel Production," Energies, MDPI, vol. 13(22), pages 1-23, November.
    19. Taiwo Olubunmi Sangodapo & Babatunde Oluwaseun Onasanya & Sarka Mayerova-Hoskova, 2021. "Decision-Making with Fuzzy Soft Matrix Using a Revised Method: A Case of Medical Diagnosis of Diseases," Mathematics, MDPI, vol. 9(18), pages 1-12, September.
    20. A. G. Olabi & Khaled Obaideen & Mohammad Ali Abdelkareem & Maryam Nooman AlMallahi & Nabila Shehata & Abdul Hai Alami & Ayman Mdallal & Asma Ali Murah Hassan & Enas Taha Sayed, 2023. "Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array," Sustainability, MDPI, vol. 15(5), pages 1-22, March.

    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:2022:i:21:p:7826-:d:950266. 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.