IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1355-d221060.html
   My bibliography  Save this article

Optimal Low-Carbon Economic Environmental Dispatch of Hybrid Electricity-Natural Gas Energy Systems Considering P2G

Author

Listed:
  • Jing Liu

    (School of Mechanical Electronic and Information Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China)

  • Wei Sun

    (School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK)

  • Gareth P. Harrison

    (School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK)

Abstract

Power to gas facilities (P2G) could absorb excess renewable energy that would otherwise be curtailed due to electricity network constraints by converting it to methane (synthetic natural gas). The produced synthetic natural gas can power gas turbines and realize bidirectional energy flow between power and natural-gas systems. P2G, therefore, has significant potential for unlocking inherent flexibility in the integrated system, but also poses new challenges of increased system complexity. A coordinated operation strategy that manages power and natural-gas network constraints together is essential to address such challenges. In this paper, a novel low-carbon economic environmental dispatch strategy is presented considering all the constraints in both systems. The multi-objective black-hole particle swarm optimization algorithm (MOBHPSO) is adopted. In addition to P2G, a gas demand management strategy is proposed to support gas flow balance. A new solving approach that combines the effective redundancy method, trust region method, and Levenberg-Marquardt method is proposed to address the complex coupled constraints. Case studies that use an integrated IEEE 39-bus power and Belgian high-calorific 20-node gas system demonstrate the effectiveness and scalability of the proposed model and optimization method. The analysis of dispatch results illustrates the benefit of P2G for the wind power accommodation, and low-carbon, economic, and environmental improvement of integrated system operation.

Suggested Citation

  • Jing Liu & Wei Sun & Gareth P. Harrison, 2019. "Optimal Low-Carbon Economic Environmental Dispatch of Hybrid Electricity-Natural Gas Energy Systems Considering P2G," Energies, MDPI, vol. 12(7), pages 1-17, April.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1355-:d:221060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1355/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/7/1355/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Liangce & Lu, Zhigang & Zhang, Jiangfeng & Geng, Lijun & Zhao, Hao & Li, Xueping, 2018. "Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas," Applied Energy, Elsevier, vol. 224(C), pages 357-370.
    2. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    3. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    4. Azadeh Maroufmashat & Michael Fowler, 2017. "Transition of Future Energy System Infrastructure; through Power-to-Gas Pathways," Energies, MDPI, vol. 10(8), pages 1-22, July.
    5. Philipp Biegger & Florian Kirchbacher & Ana Roza Medved & Martin Miltner & Markus Lehner & Michael Harasek, 2018. "Development of Honeycomb Methanation Catalyst and Its Application in Power to Gas Systems," Energies, MDPI, vol. 11(7), pages 1-17, June.
    6. 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.
    7. Shu, Kangan & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Chen, Zhe & He, Haibo & Wen, Jinyu, 2019. "Real-time subsidy based robust scheduling of the integrated power and gas system," Applied Energy, Elsevier, vol. 236(C), pages 1158-1167.
    8. Valerie Eveloy & Tesfaldet Gebreegziabher, 2018. "A Review of Projected Power-to-Gas Deployment Scenarios," Energies, MDPI, vol. 11(7), pages 1-52, July.
    9. 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.
    10. Jun Ye & Rongxiang Yuan, 2017. "Integrated Natural Gas, Heat, and Power Dispatch Considering Wind Power and Power-to-Gas," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    11. Mazza, Andrea & Bompard, Ettore & Chicco, Gianfranco, 2018. "Applications of power to gas technologies in emerging electrical systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 794-806.
    12. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Li, Xiaojing, 2017. "Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process," Applied Energy, Elsevier, vol. 194(C), pages 696-704.
    13. Qu, Kaiping & Zheng, Baomin & Yu, Tao & Li, Haofei, 2019. "Convex decoupled-synergetic strategies for robust multi-objective power and gas flow considering power to gas," Energy, Elsevier, vol. 168(C), pages 753-771.
    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. Can Ding & Yiyuan Zhou & Qingchang Ding & Kaiming Li, 2022. "Integrated Carbon-Capture-Based Low-Carbon Economic Dispatch of Power Systems Based on EEMD-LSTM-SVR Wind Power Forecasting," Energies, MDPI, vol. 15(5), pages 1-27, February.
    2. Jun Chen & Jianbo Xiao & Bohan Zhang & Zuoming Zhang & Zimu Mao & Jun He, 2024. "Low-Carbon Economic Dispatch Model of Integrated Energy System Accounting for Concentrating Solar Power and Hydrogen-Doped Combustion," Sustainability, MDPI, vol. 16(11), pages 1-24, June.
    3. Jing Liu & Wei Sun & Jinghao Yan, 2021. "Effect of P2G on Flexibility in Integrated Power-Natural Gas-Heating Energy Systems with Gas Storage," Energies, MDPI, vol. 14(1), pages 1-15, January.
    4. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2020. "Optimal planning and operation of multi-vector energy networks: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(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. Jing Liu & Wei Sun & Jinghao Yan, 2021. "Effect of P2G on Flexibility in Integrated Power-Natural Gas-Heating Energy Systems with Gas Storage," Energies, MDPI, vol. 14(1), pages 1-15, January.
    2. Bailera, Manuel & Peña, Begoña & Lisbona, Pilar & Romeo, Luis M., 2018. "Decision-making methodology for managing photovoltaic surplus electricity through Power to Gas: Combined heat and power in urban buildings," Applied Energy, Elsevier, vol. 228(C), pages 1032-1045.
    3. Raheli, Enrica & Wu, Qiuwei & Zhang, Menglin & Wen, Changyun, 2021. "Optimal coordinated operation of integrated natural gas and electric power systems: A review of modeling and solution methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    4. Song, Xiaoling & Wang, Yudong & Zhang, Zhe & Shen, Charles & Peña-Mora, Feniosky, 2021. "Economic-environmental equilibrium-based bi-level dispatch strategy towards integrated electricity and natural gas systems," Applied Energy, Elsevier, vol. 281(C).
    5. Szoplik, Jolanta & Stelmasińska, Paulina, 2019. "Analysis of gas network storage capacity for alternative fuels in Poland," Energy, Elsevier, vol. 172(C), pages 343-353.
    6. Juanwei, Chen & Tao, Yu & Yue, Xu & Xiaohua, Cheng & Bo, Yang & Baomin, Zhen, 2019. "Fast analytical method for reliability evaluation of electricity-gas integrated energy system considering dispatch strategies," Applied Energy, Elsevier, vol. 242(C), pages 260-272.
    7. Andrade, Carlos & Selosse, Sandrine & Maïzi, Nadia, 2022. "The role of power-to-gas in the integration of variable renewables," Applied Energy, Elsevier, vol. 313(C).
    8. Fambri, Gabriele & Diaz-Londono, Cesar & Mazza, Andrea & Badami, Marco & Sihvonen, Teemu & Weiss, Robert, 2022. "Techno-economic analysis of Power-to-Gas plants in a gas and electricity distribution network system with high renewable energy penetration," Applied Energy, Elsevier, vol. 312(C).
    9. Qu, Kaiping & Shi, Shouyuan & Yu, Tao & Wang, Wenrui, 2019. "A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control," Applied Energy, Elsevier, vol. 240(C), pages 630-645.
    10. Wang, Shouxiang & Wang, Shaomin & Zhao, Qianyu & Dong, Shuai & Li, Hao, 2023. "Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand," Energy, Elsevier, vol. 269(C).
    11. Wu, Chenyu & Gu, Wei & Xu, Yinliang & Jiang, Ping & Lu, Shuai & Zhao, Bo, 2018. "Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers," Applied Energy, Elsevier, vol. 232(C), pages 607-616.
    12. 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).
    13. He, Liangce & Lu, Zhigang & Zhang, Jiangfeng & Geng, Lijun & Zhao, Hao & Li, Xueping, 2018. "Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas," Applied Energy, Elsevier, vol. 224(C), pages 357-370.
    14. Yilmaz, Hasan Ümitcan & Kimbrough, Steven O. & van Dinther, Clemens & Keles, Dogan, 2022. "Power-to-gas: Decarbonization of the European electricity system with synthetic methane," Applied Energy, Elsevier, vol. 323(C).
    15. Zoltán Csedő & Botond Sinóros-Szabó & Máté Zavarkó, 2020. "Seasonal Energy Storage Potential Assessment of WWTPs with Power-to-Methane Technology," Energies, MDPI, vol. 13(18), pages 1-21, September.
    16. Qiao, Zheng & Guo, Qinglai & Sun, Hongbin & Sheng, Tongtian, 2018. "Multi-time period optimized configuration and scheduling of gas storage in gas-fired power plants," Applied Energy, Elsevier, vol. 226(C), pages 924-934.
    17. Masoud Khatibi & Abbas Rabiee & Amir Bagheri, 2023. "Integrated Electricity and Gas Systems Planning: New Opportunities, and a Detailed Assessment of Relevant Issues," Sustainability, MDPI, vol. 15(8), pages 1-32, April.
    18. Ju, Liwei & Zhao, Rui & Tan, Qinliang & Lu, Yan & Tan, Qingkun & Wang, Wei, 2019. "A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response," Applied Energy, Elsevier, vol. 250(C), pages 1336-1355.
    19. Eveloy, Valerie & Gebreegziabher, Tesfaldet, 2019. "Excess electricity and power-to-gas storage potential in the future renewable-based power generation sector in the United Arab Emirates," Energy, Elsevier, vol. 166(C), pages 426-450.
    20. Vahidinasab, Vahid & Habibi, Mahdi & Mohammadi-Ivatloo, Behnam & Taylor, Phil, 2021. "Value of regional constraint management services of vector-bridging systems in a heavily constrained network," Applied Energy, Elsevier, vol. 301(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:12:y:2019:i:7:p:1355-:d:221060. 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.