IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p4069-d829758.html
   My bibliography  Save this article

Fuzzy Logic and Linear Programming-Based Power Grid-Enhanced Economical Dispatch for Sustainable and Stable Grid Operation in Eastern Mexico

Author

Listed:
  • Esmeralda López-Garza

    (Centro de Innovación Tecnológica en Eléctrica y Electrónica, Universidad Autónoma de Tamaulipas, Carr. a San Fernando Casi Cruce con Canal Rodhe S/N. Col Arcoiris, Reynosa C.P. 88710, Mexico)

  • René Fernando Domínguez-Cruz

    (Centro de Innovación Tecnológica en Eléctrica y Electrónica, Universidad Autónoma de Tamaulipas, Carr. a San Fernando Casi Cruce con Canal Rodhe S/N. Col Arcoiris, Reynosa C.P. 88710, Mexico)

  • Fernando Martell-Chávez

    (Centro de Investigaciones en Óptica AC. Prol. Constitución 607, Fracc. Reserva Loma Bonita, Aguascalientes C.P. 20200, Mexico)

  • Iván Salgado-Tránsito

    (Centro de Investigaciones en Óptica AC. Prol. Constitución 607, Fracc. Reserva Loma Bonita, Aguascalientes C.P. 20200, Mexico)

Abstract

Sustainable, stable, and cost-optimized operation of power grids must be the main objectives of power grid operators and electric utilities. The energy transition towards a preponderant green energy economy requires innovative solutions to enhance the power grid economic dispatches looking for a better allocation of the energy demand among the diverse renewable and fossil fuel energy plants. Green renewable energy systems must be preferred over fossil fuel generators when they are available. However, fossil plants are still required to be kept operational due to the variability and uncertainty of renewable energy plants. This study proposes a hybrid rational economic dispatch model that combines a cost minimization linear model enhanced with a fuzzy logic system for decision-making on wind and hydropower minimum and maximum generation levels. The model considers the intermittency of wind energy and recognizes the strategic value of hydropower as energy storage. The results of the model with real data taken from wind, hydroelectric, geothermal, nuclear, bioenergy, and fossil fuel power plants in the eastern region of Mexico show that a fairer, rational, and cost-optimized power grid economic dispatch can be achieved with the proposed approach.

Suggested Citation

  • Esmeralda López-Garza & René Fernando Domínguez-Cruz & Fernando Martell-Chávez & Iván Salgado-Tránsito, 2022. "Fuzzy Logic and Linear Programming-Based Power Grid-Enhanced Economical Dispatch for Sustainable and Stable Grid Operation in Eastern Mexico," Energies, MDPI, vol. 15(11), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4069-:d:829758
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/4069/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/11/4069/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McLarty, Dustin & Panossian, Nadia & Jabbari, Faryar & Traverso, Alberto, 2019. "Dynamic economic dispatch using complementary quadratic programming," Energy, Elsevier, vol. 166(C), pages 755-764.
    2. Killian, M. & Zauner, M. & Kozek, M., 2018. "Comprehensive smart home energy management system using mixed-integer quadratic-programming," Applied Energy, Elsevier, vol. 222(C), pages 662-672.
    3. Niknam, Taher & Mojarrad, Hassan Doagou & Nayeripour, Majid, 2010. "A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch," Energy, Elsevier, vol. 35(4), pages 1764-1778.
    4. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    5. Carl-Friedrich Schleussner & Joeri Rogelj & Michiel Schaeffer & Tabea Lissner & Rachel Licker & Erich M. Fischer & Reto Knutti & Anders Levermann & Katja Frieler & William Hare, 2016. "Science and policy characteristics of the Paris Agreement temperature goal," Nature Climate Change, Nature, vol. 6(9), pages 827-835, September.
    6. Shehab Al-Sakkaf & Mahmoud Kassas & Muhammad Khalid & Mohammad A. Abido, 2019. "An Energy Management System for Residential Autonomous DC Microgrid Using Optimized Fuzzy Logic Controller Considering Economic Dispatch," Energies, MDPI, vol. 12(8), pages 1-25, April.
    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. Loau Al-Bahrani & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski, 2021. "Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    2. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    3. Sun, Lu & Fujii, Minoru & Li, Zhaoling & Dong, Huijuan & Geng, Yong & Liu, Zhe & Fujita, Tsuyoshi & Yu, Xiaoman & Zhang, Yuepeng, 2020. "Energy-saving and carbon emission reduction effect of urban-industrial symbiosis implementation with feasibility analysis in the city," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Roosta, Alireza & Amiri, Babak, 2012. "A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch," Energy, Elsevier, vol. 42(1), pages 530-545.
    5. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    6. David Klenert & Franziska Funke & Linus Mattauch & Brian O’Callaghan, 2020. "Five Lessons from COVID-19 for Advancing Climate Change Mitigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 751-778, August.
    7. Fonseca, Juan D. & Commenge, Jean-Marc & Camargo, Mauricio & Falk, Laurent & Gil, Iván D., 2021. "Sustainability analysis for the design of distributed energy systems: A multi-objective optimization approach," Applied Energy, Elsevier, vol. 290(C).
    8. Narang, Nitin & Dhillon, J.S. & Kothari, D.P., 2012. "Multiobjective fixed head hydrothermal scheduling using integrated predator-prey optimization and Powell search method," Energy, Elsevier, vol. 47(1), pages 237-252.
    9. Jun-Young Park & Fabian Schloesser & Axel Timmermann & Dipayan Choudhury & June-Yi Lee & Arjun Babu Nellikkattil, 2023. "Future sea-level projections with a coupled atmosphere-ocean-ice-sheet model," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    10. Yan, Peiliang & Fan, Weijun & Han, Yu & Ding, Hongbing & Wen, Chuang & Elbarghthi, Anas F.A. & Yang, Yan, 2023. "Leaf-vein bionic fin configurations for enhanced thermal energy storage performance of phase change materials in smart heating and cooling systems," Applied Energy, Elsevier, vol. 346(C).
    11. Gorbach, O.G. & Kost, C. & Pickett, C., 2022. "Review of internal carbon pricing and the development of a decision process for the identification of promising Internal Pricing Methods for an Organisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    12. Lee, Jungwoo & Yang, Jae-Suk, 2019. "Global energy transitions and political systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    13. Diaa Salman & Mehmet Kusaf, 2021. "Short-Term Unit Commitment by Using Machine Learning to Cover the Uncertainty of Wind Power Forecasting," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    14. Sferra, Fabio & Krapp, Mario & Roming, Niklas & Schaeffer, Michiel & Malik, Aman & Hare, Bill & Brecha, Robert, 2019. "Towards optimal 1.5° and 2 °C emission pathways for individual countries: A Finland case study," Energy Policy, Elsevier, vol. 133(C).
    15. Piotr Kułyk & Łukasz Augustowski, 2021. "Economic Profitability of a Hybrid Approach to Powering Residual Households from Natural Sources in Two Wind Zones of the Lubuskie Voivodeship in Poland," Energies, MDPI, vol. 14(21), pages 1-15, October.
    16. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "Reserve constrained dynamic optimal power flow subject to valve-point effects, prohibited zones and multi-fuel constraints," Energy, Elsevier, vol. 47(1), pages 451-464.
    17. Turaj S. Faran & Lennart Olsson, 2018. "Geoengineering: neither economical, nor ethical—a risk–reward nexus analysis of carbon dioxide removal," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(1), pages 63-77, February.
    18. Glotić, Arnel & Zamuda, Aleš, 2015. "Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution," Applied Energy, Elsevier, vol. 141(C), pages 42-56.
    19. Ioannidis, Alexis & Chalvatzis, Konstantinos J. & Li, Xin & Notton, Gilles & Stephanides, Phedeas, 2019. "The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands," Renewable Energy, Elsevier, vol. 143(C), pages 440-452.
    20. Roberto Casado-Vara & Angel Martín del Rey & Ricardo S. Alonso & Saber Trabelsi & Juan M. Corchado, 2020. "A New Stability Criterion for IoT Systems in Smart Buildings: Temperature Case Study," Mathematics, MDPI, vol. 8(9), pages 1-13, August.

    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:11:p:4069-:d:829758. 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.