IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p6131-d449454.html
   My bibliography  Save this article

Robust Optimal Operation Strategy for a Hybrid Energy System Based on Gas-Fired Unit, Power-to-Gas Facility and Wind Power in Energy Markets

Author

Listed:
  • Masoud Agabalaye-Rahvar

    (Faculty of Electrical and Computer Engineering, University of Tabriz, 5166616471 Tabriz, Iran)

  • Amin Mansour-Saatloo

    (Faculty of Electrical and Computer Engineering, University of Tabriz, 5166616471 Tabriz, Iran)

  • Mohammad Amin Mirzaei

    (Faculty of Electrical and Computer Engineering, University of Tabriz, 5166616471 Tabriz, Iran)

  • Behnam Mohammadi-Ivatloo

    (Faculty of Electrical and Computer Engineering, University of Tabriz, 5166616471 Tabriz, Iran
    Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Kazem Zare

    (Faculty of Electrical and Computer Engineering, University of Tabriz, 5166616471 Tabriz, Iran)

  • Amjad Anvari-Moghaddam

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

Gas-fired power units (GFUs) are the best technology in recent years due to lower natural gas prices, higher energy transformation performance, and lower CO 2 emission, as compared to the conventional power units (CPUs). A permanent storage facility called power-to-gas (P2G) technology can provide adaptation of ever-increasing renewable energy sources (RESs) fluctuations in power system operations, as well as reduce dependency to buy natural gas from the gas network. High investment and utilization expenditures of state-of-the-art P2G technology do not lead to economically effective operation individually. Therefore, in the present paper, an integrated GFUs-P2G-wind power unit (WPU) system is proposed to determine its optimal bidding strategy in the day-ahead energy market. A robust optimization approach is also taken into account to accommodate the proposed bidding strategy within the electricity price uncertainty environment. This problem was studied by using a case study that included a P2G facility, GFU, and WPUs to investigate the effectiveness and capability of the proposed robust bidding strategy in the day-ahead energy market. Simulation results indicate that the obtained profit increase by introducing the integrated energy system, and the P2G facility has a significant effect on participating GFUs, which have gas-consumption limitations in order to achieve maximum profit. Moreover, as it can be said, the amount of purchased natural gas is decreased in the situations, which do not have any gas-consumption limitations. Furthermore, the proposed system’s operation in the robust environment provides more robustness against electricity price deviations, although it leads to lower profit. In addition, deploying P2G technology causes about 1% incrementation in the introduced system profit.

Suggested Citation

  • Masoud Agabalaye-Rahvar & Amin Mansour-Saatloo & Mohammad Amin Mirzaei & Behnam Mohammadi-Ivatloo & Kazem Zare & Amjad Anvari-Moghaddam, 2020. "Robust Optimal Operation Strategy for a Hybrid Energy System Based on Gas-Fired Unit, Power-to-Gas Facility and Wind Power in Energy Markets," Energies, MDPI, vol. 13(22), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6131-:d:449454
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/6131/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/22/6131/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mirzaei, Mohammad Amin & Sadeghi-Yazdankhah, Ahmad & Mohammadi-Ivatloo, Behnam & Marzband, Mousa & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products," Energy, Elsevier, vol. 189(C).
    2. Shixiong Qi & Xiuli Wang & Xue Li & Tao Qian & Qiwen Zhang, 2019. "Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
    3. Götz, Manuel & Lefebvre, Jonathan & Mörs, Friedemann & McDaniel Koch, Amy & Graf, Frank & Bajohr, Siegfried & Reimert, Rainer & Kolb, Thomas, 2016. "Renewable Power-to-Gas: A technological and economic review," Renewable Energy, Elsevier, vol. 85(C), pages 1371-1390.
    4. Guan Wang & Zhongfu Tan & Qingkun Tan & Shenbo Yang & Hongyu Lin & Xionghua Ji & De Gejirifu & Xueying Song, 2019. "Multi-Objective Robust Scheduling Optimization Model of Wind, Photovoltaic Power, and BESS Based on the Pareto Principle," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    5. Zhongfu Tan & Qingkun Tan & Shenbo Yang & Liwei Ju & Gejirifu De, 2018. "A Robust Scheduling Optimization Model for an Integrated Energy System with P2G Based on Improved CVaR," Energies, MDPI, vol. 11(12), pages 1-15, December.
    6. de Boer, Harmen Sytze & Grond, Lukas & Moll, Henk & Benders, René, 2014. "The application of power-to-gas, pumped hydro storage and compressed air energy storage in an electricity system at different wind power penetration levels," Energy, Elsevier, vol. 72(C), pages 360-370.
    7. Jonathan Ranisau & Mohammed Barbouti & Aaron Trainor & Nidhi Juthani & Yaser K. Salkuyeh & Azadeh Maroufmashat & Michael Fowler, 2017. "Power-to-Gas Implementation for a Polygeneration System in Southwestern Ontario," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    8. Budny, Christoph & Madlener, Reinhard & Hilgers, Christoph, 2013. "Economic Feasibility of Pipeline and Underground Reservoir Storage Options for Power-to-Gas Load Balancing," FCN Working Papers 18/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Ilias G. Marneris & Pandelis N. Biskas & Anastasios G. Bakirtzis, 2017. "Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration," Energies, MDPI, vol. 10(1), pages 1-25, January.
    10. Zhou, Suyang & Sun, Kaiyu & Wu, Zhi & Gu, Wei & Wu, Gaoxiang & Li, Zhe & Li, Junjie, 2020. "Optimized operation method of small and medium-sized integrated energy system for P2G equipment under strong uncertainty," Energy, Elsevier, vol. 199(C).
    11. Nur Mohammad & Yateendra Mishra, 2018. "The Role of Demand Response Aggregators and the Effect of GenCos Strategic Bidding on the Flexibility of Demand," Energies, MDPI, vol. 11(12), pages 1-22, November.
    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. Ren, Hongbo & Jiang, Zipei & Wu, Qiong & Li, Qifen & Yang, Yongwen, 2022. "Integrated optimization of a regional integrated energy system with thermal energy storage considering both resilience and reliability," Energy, Elsevier, vol. 261(PB).
    2. Gengli Song & Hua Wei, 2022. "Distributionally Robust Multi-Energy Dynamic Optimal Power Flow Considering Water Spillage with Wasserstein Metric," Energies, MDPI, vol. 15(11), pages 1-18, May.
    3. Sorrenti, Ilaria & Harild Rasmussen, Theis Bo & You, Shi & Wu, Qiuwei, 2022. "The role of power-to-X in hybrid renewable energy systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).

    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. Kolb, Sebastian & Plankenbühler, Thomas & Frank, Jonas & Dettelbacher, Johannes & Ludwig, Ralf & Karl, Jürgen & Dillig, Marius, 2021. "Scenarios for the integration of renewable gases into the German natural gas market – A simulation-based optimisation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    2. Ushnik Mukherjee & Azadeh Maroufmashat & Apurva Narayan & Ali Elkamel & Michael Fowler, 2017. "A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways," Energies, MDPI, vol. 10(7), pages 1-27, June.
    3. Nicholas Preston & Azadeh Maroufmashat & Hassan Riaz & Sami Barbouti & Ushnik Mukherjee & Peter Tang & Javan Wang & Ali Elkamel & Michael Fowler, 2021. "An Economic, Environmental and Safety Analysis of Using Hydrogen Enriched Natural Gas (HENG) in Industrial Facilities," Energies, MDPI, vol. 14(9), pages 1-21, April.
    4. Brynolf, Selma & Taljegard, Maria & Grahn, Maria & Hansson, Julia, 2018. "Electrofuels for the transport sector: A review of production costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1887-1905.
    5. Witte, Julia & Calbry-Muzyka, Adelaide & Wieseler, Tanja & Hottinger, Peter & Biollaz, Serge M.A. & Schildhauer, Tilman J., 2019. "Demonstrating direct methanation of real biogas in a fluidised bed reactor," Applied Energy, Elsevier, vol. 240(C), pages 359-371.
    6. Mukherjee, Ushnik & Walker, Sean & Maroufmashat, Azadeh & Fowler, Michael & Elkamel, Ali, 2017. "Development of a pricing mechanism for valuing ancillary, transportation and environmental services offered by a power to gas energy system," Energy, Elsevier, vol. 128(C), pages 447-462.
    7. McDonagh, Shane & Deane, Paul & Rajendran, Karthik & Murphy, Jerry D., 2019. "Are electrofuels a sustainable transport fuel? Analysis of the effect of controls on carbon, curtailment, and cost of hydrogen," Applied Energy, Elsevier, vol. 247(C), pages 716-730.
    8. Soohyun Kim & Yunxia Yang & Renata Lippi & Hokyung Choi & Sangdo Kim & Donghyuk Chun & Hyuk Im & Sihyun Lee & Jiho Yoo, 2021. "Low-Rank Coal Supported Ni Catalysts for CO 2 Methanation," Energies, MDPI, vol. 14(8), pages 1-13, April.
    9. Wang, Haibing & Li, Bowen & Zhao, Anjie & Sun, Weiqing, 2024. "Two-stage planning model of power-to-gas station considering carbon emission flow," Energy, Elsevier, vol. 296(C).
    10. Pastore, Lorenzo Mario & Lo Basso, Gianluigi & de Santoli, Livio, 2022. "Can the renewable energy share increase in electricity and gas grids takes out the competitiveness of gas-driven CHP plants for distributed generation?," Energy, Elsevier, vol. 256(C).
    11. Fózer, Dániel & Volanti, Mirco & Passarini, Fabrizio & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Mizsey, Péter, 2020. "Bioenergy with carbon emissions capture and utilisation towards GHG neutrality: Power-to-Gas storage via hydrothermal gasification," Applied Energy, Elsevier, vol. 280(C).
    12. Bucksteeg, Michael & Mikurda, Jennifer & Weber, Christoph, 2023. "Integration of power-to-gas into electricity markets during the ramp-up phase—Assessing the role of carbon pricing," Energy Economics, Elsevier, vol. 124(C).
    13. McDonagh, Shane & O'Shea, Richard & Wall, David M. & Deane, J.P. & Murphy, Jerry D., 2018. "Modelling of a power-to-gas system to predict the levelised cost of energy of an advanced renewable gaseous transport fuel," Applied Energy, Elsevier, vol. 215(C), pages 444-456.
    14. McDonagh, Shane & Wall, David M. & Deane, Paul & Murphy, Jerry D., 2019. "The effect of electricity markets, and renewable electricity penetration, on the levelised cost of energy of an advanced electro-fuel system incorporating carbon capture and utilisation," Renewable Energy, Elsevier, vol. 131(C), pages 364-371.
    15. Madeleine McPherson & Theofilos Sotiropoulos-Michalakakos & LD Danny Harvey & Bryan Karney, 2017. "An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset," Energies, MDPI, vol. 10(7), pages 1-14, July.
    16. Zhang, Xian & Chan, K.W. & Wang, Huaizhi & Hu, Jiefeng & Zhou, Bin & Zhang, Yan & Qiu, Jing, 2019. "Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations," Energy, Elsevier, vol. 176(C), pages 249-264.
    17. Zoss, Toms & Dace, Elina & Blumberga, Dagnija, 2016. "Modeling a power-to-renewable methane system for an assessment of power grid balancing options in the Baltic States’ region," Applied Energy, Elsevier, vol. 170(C), pages 278-285.
    18. Yu, Binbin & Fan, Guangyao & Sun, Kai & Chen, Jing & Sun, Bo & Tian, Peigen, 2024. "Adaptive energy optimization strategy of island renewable power-to-hydrogen system with hybrid electrolyzers structure," Energy, Elsevier, vol. 301(C).
    19. Gupta, Ruchi & Rüdisüli, Martin & Patel, Martin Kumar & Parra, David, 2022. "Smart power-to-gas deployment strategies informed by spatially explicit cost and value models," Applied Energy, Elsevier, vol. 327(C).
    20. Qi, Meng & Park, Jinwoo & Lee, Inkyu & Moon, Il, 2022. "Liquid air as an emerging energy vector towards carbon neutrality: A multi-scale systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(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:13:y:2020:i:22:p:6131-:d:449454. 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.