IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7751-d1286926.html
   My bibliography  Save this article

Modified Genetic Algorithm for the Profit-Based Unit Commitment Problem in Competitive Electricity Market

Author

Listed:
  • Lucas Santiago Nepomuceno

    (Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil)

  • Layon Mescolin de Oliveira

    (Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil)

  • Ivo Chaves da Silva Junior

    (Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil)

  • Edimar José de Oliveira

    (Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil)

  • Arthur Neves de Paula

    (Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil)

Abstract

This article proposes a solution to the Profit-Based Unit Commitment (PBUC) problem to maximize the profit of a power generation company that owns thermal units and compressed air energy storage (CAES) systems, considering the Day-Ahead market. The proposed methodology is more realistic as it considers a mixed-integer nonlinear formulation of the PBUC. The problem is solved through two stages, with Stage 1 dedicated to obtaining the operational state of the generating units (On or Off) and the operation mode of the storage system (energy exchange: charging, discharging, idle). Stage 2 determines the dispatch of power from the thermoelectric units and the energy exchange in the storage system. The analysis of the system consisting of 20 thermoelectric units and three storage systems shows the efficiency of the proposed method in making decisions for the power generation company and is therefore promising for real-world applications.

Suggested Citation

  • Lucas Santiago Nepomuceno & Layon Mescolin de Oliveira & Ivo Chaves da Silva Junior & Edimar José de Oliveira & Arthur Neves de Paula, 2023. "Modified Genetic Algorithm for the Profit-Based Unit Commitment Problem in Competitive Electricity Market," Energies, MDPI, vol. 16(23), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7751-:d:1286926
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7751/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/23/7751/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mostafa Nasouri Gilvaei & Mahmood Hosseini Imani & Mojtaba Jabbari Ghadi & Li Li & Anahita Golrang, 2021. "Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units," Energies, MDPI, vol. 14(3), pages 1-20, January.
    2. Akbari, Ebrahim & Hooshmand, Rahmat-Allah & Gholipour, Mehdi & Parastegari, Moein, 2019. "Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve markets," Energy, Elsevier, vol. 171(C), pages 535-546.
    3. Abdi, Hamdi, 2021. "Profit-based unit commitment problem: A review of models, methods, challenges, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. Budt, Marcus & Wolf, Daniel & Span, Roland & Yan, Jinyue, 2016. "A review on compressed air energy storage: Basic principles, past milestones and recent developments," Applied Energy, Elsevier, vol. 170(C), pages 250-268.
    5. Anand, Himanshu & Narang, Nitin & Dhillon, J.S., 2018. "Profit based unit commitment using hybrid optimization technique," Energy, Elsevier, vol. 148(C), pages 701-715.
    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. Lefeng Cheng & Mengya Zhang & Pengrong Huang & Wentian Lu, 2024. "Game-Theoretic Approaches for Power-Generation Companies’ Decision-Making in the Emerging Green Certificate Market," Sustainability, MDPI, vol. 17(1), pages 1-53, December.

    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. Mostafa Nasouri Gilvaei & Mahmood Hosseini Imani & Mojtaba Jabbari Ghadi & Li Li & Anahita Golrang, 2021. "Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units," Energies, MDPI, vol. 14(3), pages 1-20, January.
    2. Hossein Lotfi & Mohammad Hasan Nikkhah, 2024. "Multi-Objective Profit-Based Unit Commitment with Renewable Energy and Energy Storage Units Using a Modified Optimization Method," Sustainability, MDPI, vol. 16(4), pages 1-28, February.
    3. Ann-Kathrin Klaas & Hans-Peter Beck, 2021. "A MILP Model for Revenue Optimization of a Compressed Air Energy Storage Plant with Electrolysis," Energies, MDPI, vol. 14(20), pages 1-21, October.
    4. Yuan, Jiahang & Luo, Xinggang & Li, Zhendong & Li, Lingfei & Ji, Pengli & Zhou, Qing & Zhang, Zhongliang, 2021. "Sustainable development evaluation on wind power compressed air energy storage projects based on multi-source heterogeneous data," Renewable Energy, Elsevier, vol. 169(C), pages 1175-1189.
    5. Khashayar Hamedi & Shahrbanoo Sadeghi & Saeed Esfandi & Mahdi Azimian & Hessam Golmohamadi, 2021. "Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    6. Zhang, Zhi & Zhou, Ming & Chen, Yanbo & Li, Gengyin, 2023. "Exploiting the operational flexibility of AA-CAES in energy and reserve optimization scheduling by a linear reserve model," Energy, Elsevier, vol. 263(PE).
    7. Bazdar, Elaheh & Sameti, Mohammad & Nasiri, Fuzhan & Haghighat, Fariborz, 2022. "Compressed air energy storage in integrated energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Chen, Long Xiang & Xie, Mei Na & Zhao, Pan Pan & Wang, Feng Xiang & Hu, Peng & Wang, Dong Xiang, 2018. "A novel isobaric adiabatic compressed air energy storage (IA-CAES) system on the base of volatile fluid," Applied Energy, Elsevier, vol. 210(C), pages 198-210.
    9. Barah Ahn & Macey Schmetzer & Paul I. Ro, 2025. "Comparative Study of Solid-Based and Liquid-Based Heat Transfer Enhancement Techniques in Liquid Piston Gas Compression," Energies, MDPI, vol. 18(8), pages 1-20, April.
    10. Houssainy, Sammy & Janbozorgi, Mohammad & Ip, Peggy & Kavehpour, Pirouz, 2018. "Thermodynamic analysis of a high temperature hybrid compressed air energy storage (HTH-CAES) system," Renewable Energy, Elsevier, vol. 115(C), pages 1043-1054.
    11. Cheayb, Mohamad & Marin Gallego, Mylène & Tazerout, Mohand & Poncet, Sébastien, 2022. "A techno-economic analysis of small-scale trigenerative compressed air energy storage system," Energy, Elsevier, vol. 239(PA).
    12. Silva, Ana R. & Pousinho, H.M.I. & Estanqueiro, Ana, 2022. "A multistage stochastic approach for the optimal bidding of variable renewable energy in the day-ahead, intraday and balancing markets," Energy, Elsevier, vol. 258(C).
    13. Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2020. "Modeling and dispatch of advanced adiabatic compressed air energy storage under wide operating range in distribution systems with renewable generation," Energy, Elsevier, vol. 206(C).
    14. Dib, Ghady & Haberschill, Philippe & Rullière, Romuald & Revellin, Rémi, 2021. "Modelling small-scale trigenerative advanced adiabatic compressed air energy storage for building application," Energy, Elsevier, vol. 237(C).
    15. Guo, Cong & Xu, Yujie & Zhang, Xinjing & Guo, Huan & Zhou, Xuezhi & Liu, Chang & Qin, Wei & Li, Wen & Dou, Binlin & Chen, Haisheng, 2017. "Performance analysis of compressed air energy storage systems considering dynamic characteristics of compressed air storage," Energy, Elsevier, vol. 135(C), pages 876-888.
    16. Fu, Xintao & Zhang, Yilun & Liu, Xu & Liu, Zhan, 2024. "Stable power supply system consisting of solar, wind and liquid carbon dioxide energy storage," Renewable Energy, Elsevier, vol. 221(C).
    17. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    18. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    19. Nicolas Martinez & Youssef Benchaabane & Rosa Elvira Silva & Adrian Ilinca & Hussein Ibrahim & Ambrish Chandra & Daniel R. Rousse, 2019. "Computer Model for a Wind–Diesel Hybrid System with Compressed Air Energy Storage," Energies, MDPI, vol. 12(18), pages 1-18, September.
    20. Li, Chengchen & Wang, Huanran & He, Xin & Zhang, Yan, 2022. "Experimental and thermodynamic investigation on isothermal performance of large-scaled liquid piston," Energy, Elsevier, vol. 249(C).

    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:23:p:7751-:d:1286926. 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.