IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i17p6780-d402060.html
   My bibliography  Save this article

A Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem

Author

Listed:
  • Andréa Camila dos Santos Martins

    (Department of Electrical Engineering, Faculty of Engineering (FEB), Universidade Estadual Paulista, Bauru SP 17033-360, Brazil)

  • Antonio Roberto Balbo

    (Department of Mathematics, Faculty of Sciences (FC), Universidade Estadual Paulista, Bauru SP 17033-360, Brazil)

  • Dylan Jones

    (Centre for Operational Research and Logistics, School of Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HF, UK)

  • Leonardo Nepomuceno

    (Department of Electrical Engineering, Faculty of Engineering (FEB), Universidade Estadual Paulista, Bauru SP 17033-360, Brazil)

  • Edilaine Martins Soler

    (Department of Mathematics, Faculty of Sciences (FC), Universidade Estadual Paulista, Bauru SP 17033-360, Brazil)

  • Edméa Cássia Baptista

    (Department of Mathematics, Faculty of Sciences (FC), Universidade Estadual Paulista, Bauru SP 17033-360, Brazil)

Abstract

Wind energy is becoming an increasingly substantial component of many nations’ energy portfolios. The intermittent nature of wind energy is traded off in a multi-objective sense against its environmental benefits when compared to conventional thermal energy sources. This gives rise to the multi-criteria sustainable dispatch problem considered in this paper. A relevant multi-objective model is formulated considering both environmental and economic criteria as well as ensuring adequate production levels. The techniques of weighted goal programming (WGP) and the progressive bounded constraint method (PBC) are combined in a novel manner in order to overcome computational challenges associated with the sinusoidal nature of the model. This allows the generation of a representative set of Pareto efficient solutions. The proposed methodology is demonstrated on a test set of relevant examples, and conclusions are drawn from both methodological and application perspectives. The results provide a quantification of the economic and environmental benefits of added wind power to a solely thermal system. However, a trade-off between the levels of economic versus environmental benefits gained is also demonstrated.

Suggested Citation

  • Andréa Camila dos Santos Martins & Antonio Roberto Balbo & Dylan Jones & Leonardo Nepomuceno & Edilaine Martins Soler & Edméa Cássia Baptista, 2020. "A Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6780-:d:402060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/17/6780/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/17/6780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jahanshahi, Akram & Kamali, Mohammadreza & Khalaj, Mohammadreza & Khodaparast, Zahra, 2019. "Delphi-based prioritization of economic criteria for development of wave and tidal energy technologies," Energy, Elsevier, vol. 167(C), pages 819-827.
    2. Al-Hasan, Mohammed & Nigmatullin, Raoul R., 2003. "Identification of the generalized Weibull distribution in wind speed data by the Eigen-coordinates method," Renewable Energy, Elsevier, vol. 28(1), pages 93-110.
    3. David Abdul Konneh & Harun Or Rashid Howlader & Ryuto Shigenobu & Tomonobu Senjyu & Shantanu Chakraborty & Narayanan Krishna, 2019. "A Multi-Criteria Decision Maker for Grid-Connected Hybrid Renewable Energy Systems Selection Using Multi-Objective Particle Swarm Optimization," Sustainability, MDPI, vol. 11(4), pages 1-36, February.
    4. Dylan Jones & Mehrdad Tamiz, 2010. "Practical Goal Programming," International Series in Operations Research and Management Science, Springer, edition 1, number 978-1-4419-5771-9, September.
    5. Zhang, Xian & Wang, Huaizhi & Peng, Jian-chun & Liu, Yitao & Wang, Guibin & Jiang, Hui, 2018. "GPNBI inspired MOSDE for electric power dispatch considering wind energy penetration," Energy, Elsevier, vol. 144(C), pages 404-419.
    6. Akbari, Negar & Jones, Dylan & Treloar, Richard, 2020. "A cross-European efficiency assessment of offshore wind farms: A DEA approach," Renewable Energy, Elsevier, vol. 151(C), pages 1186-1195.
    7. Spyridon Achinas & Johan Horjus & Vasileios Achinas & Gerrit Jan Willem Euverink, 2019. "A PESTLE Analysis of Biofuels Energy Industry in Europe," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    8. Dylan F. Jones & Graham Wall, 2016. "An extended goal programming model for site selection in the offshore wind farm sector," Annals of Operations Research, Springer, vol. 245(1), pages 121-135, October.
    9. Ateekh Ur Rehman & Mustufa Haider Abidi & Usama Umer & Yusuf Siraj Usmani, 2019. "Multi-Criteria Decision-Making Approach for Selecting Wind Energy Power Plant Locations," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
    10. Madsen, Dorte Nørgaard & Hansen, Jan Petter, 2019. "Outlook of solar energy in Europe based on economic growth characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    11. Lee, Hsing-Chen & Chang, Ching-Ter, 2018. "Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 883-896.
    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. Luis Diaz-Balteiro & Jacinto González-Pachón & Carlos Romero, 2020. "Sustainability as a Multi-Criteria Concept: New Developments and Applications," Sustainability, MDPI, vol. 12(18), pages 1-5, September.

    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. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    2. Francisco Salas-Molina & Filippo Bistaffa & Juan A. Rodriguez-Aguilar, 2024. "A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical Principles," Papers 2401.07818, arXiv.org, revised Mar 2024.
    3. Chandra Ade Irawan & Dylan Jones, 2019. "Formulation and solution of a two-stage capacitated facility location problem with multilevel capacities," Annals of Operations Research, Springer, vol. 272(1), pages 41-67, January.
    4. Ibrahim Yilmaz, 2023. "A Hybrid DEA–Fuzzy COPRAS Approach to the Evaluation of Renewable Energy: A Case of Wind Farms in Turkey," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    5. Abdul Conteh & Mohammed Elsayed Lotfy & Kiptoo Mark Kipngetich & Tomonobu Senjyu & Paras Mandal & Shantanu Chakraborty, 2019. "An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    6. Nock, Destenie & Baker, Erin, 2019. "Holistic multi-criteria decision analysis evaluation of sustainable electric generation portfolios: New England case study," Applied Energy, Elsevier, vol. 242(C), pages 655-673.
    7. Ramos, Francisco López & Batres, Rafael & De-la-Cruz-Márquez, Cynthia Griselle & Anzures, Melina López, 2023. "Optimization models for nopal crop planning with land usage expansion and government subsidy," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    8. Walter Briec & Laurent Cavaignac & Kristiaan Kerstens, 2020. "Input Efficiency Measures: A Generalized, Encompassing Formulation," Operations Research, INFORMS, vol. 68(6), pages 1836-1849, November.
    9. Carland, Corinne & Goentzel, Jarrod & Montibeller, Gilberto, 2018. "Modeling the values of private sector agents in multi-echelon humanitarian supply chains," European Journal of Operational Research, Elsevier, vol. 269(2), pages 532-543.
    10. Zgajnar, Jaka & Kavcic, Stane, 2012. "Farm management support based on mathematical programming; an example of fertilization planning," Agroeconomia Croatica, Croatian Society of Agricultural Economists, vol. 2(1), pages 1-8, March.
    11. Abdul, Daud & Wenqi, Jiang & Tanveer, Arsalan, 2022. "Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology," Renewable Energy, Elsevier, vol. 184(C), pages 1018-1032.
    12. Konrad Siegfried & Susann Günther & Sara Mengato & Fabian Riedel & Daniela Thrän, 2023. "Boosting Biowaste Valorisation—Do We Need an Accelerated Regional Implementation of the European Law for End-of-Waste?," Sustainability, MDPI, vol. 15(17), pages 1-13, September.
    13. Alkan, Ömer & Albayrak, Özlem Karadağ, 2020. "Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA," Renewable Energy, Elsevier, vol. 162(C), pages 712-726.
    14. Huang, Zishuo & Yu, Hang & Chu, Xiangyang & Peng, Zhenwei, 2017. "A goal programming based model system for community energy plan," Energy, Elsevier, vol. 134(C), pages 893-901.
    15. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    16. Mohammad Taleghani, 2017. "Synergistic Role of Balanced Scorecard/Activity Based Costing and Goal Programming Combined Model on Strategic Cost Management," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 586-593.
    17. Foad Mahdavi Pajouh & Dahai Xing & Yingjue Zhou & Sharethram Hariharan & Balabhaskar Balasundaram & Tieming Liu & Ramesh Sharda, 2013. "A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates," Interfaces, INFORMS, vol. 43(6), pages 503-517, December.
    18. Nima Mirzaei, 2022. "A Multicriteria Decision Framework for Solar Power Plant Location Selection Problem with Pythagorean Fuzzy Data: A Case Study on Green Energy in Turkey," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    19. Amalia Suryani & Alberto Bezama & Claudia Mair-Bauernfeind & Macben Makenzi & Daniela Thrän, 2022. "Drivers and Barriers to Substituting Firewood with Biomass Briquettes in the Kenyan Tea Industry," Sustainability, MDPI, vol. 14(9), pages 1-24, May.
    20. Laura Montalbán-Domingo & Madeleine Aguilar-Morocho & Tatiana García-Segura & Eugenio Pellicer, 2020. "Study of Social and Environmental Needs for the Selection of Sustainable Criteria in the Procurement of Public Works," Sustainability, MDPI, vol. 12(18), pages 1-21, September.

    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:12:y:2020:i:17:p:6780-:d:402060. 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.