IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i6p1476-d151018.html
   My bibliography  Save this article

Economic Evaluation of Actively Consuming Wind Power for an Integrated Energy System Based on Game Theory

Author

Listed:
  • Xiaojuan Han

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Feng Wang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Chunguang Tian

    (Electrical Power Research Institute of Jilin Electric Power Corporation, Changchun 130021, China)

  • Kai Xue

    (Jilin Provincial Electric Power Training Center, Changchun 130021, China)

  • Junfeng Zhang

    (Jilin Provincial Electric Power Training Center, Changchun 130021, China)

Abstract

Facing the growing problem of the curtailed wind during winter heating periods in the north of China, a flexible control method of wind power heating using the integrated energy system to consume the curtailed wind is proposed. Energy storage technology is introduced to coordinate regenerative electric boilers to match the fast fluctuation of wind power. The consuming model of the curtailed wind for the integrated energy system is established under three models through the study of the consumption mechanisms for the curtailed wind. The “wind power-energy storage system” and “wind power-regenerative electric boiler” are regarded as the game’s participants, and the maximum daily benefit of the system is regarded as the objective function, an economic evaluation model of the integrated energy system to consume the curtailed wind based on game theory is established. For comparative analysis, the model is respectively solved by particle swarm optimization (PSO) and the firefly algorithm (FA). The effectiveness of the model is verified by the actual operation data of a wind power heating demonstration project in China. The simulation results show that the most economy benefits of the overall system can be obtained by using energy storage systems to coordinate regenerative electric boilers, which provides a theoretical basis for the consumption of the curtailed wind.

Suggested Citation

  • Xiaojuan Han & Feng Wang & Chunguang Tian & Kai Xue & Junfeng Zhang, 2018. "Economic Evaluation of Actively Consuming Wind Power for an Integrated Energy System Based on Game Theory," Energies, MDPI, vol. 11(6), pages 1-25, June.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1476-:d:151018
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/6/1476/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/6/1476/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nielsen, Maria Grønnegaard & Morales, Juan Miguel & Zugno, Marco & Pedersen, Thomas Engberg & Madsen, Henrik, 2016. "Economic valuation of heat pumps and electric boilers in the Danish energy system," Applied Energy, Elsevier, vol. 167(C), pages 189-200.
    2. Jing, Z.X. & Jiang, X.S. & Wu, Q.H. & Tang, W.H. & Hua, B., 2014. "Modelling and optimal operation of a small-scale integrated energy based district heating and cooling system," Energy, Elsevier, vol. 73(C), pages 399-415.
    3. Han, Xiaojuan & Ji, Tianming & Zhao, Zekun & Zhang, Hao, 2015. "Economic evaluation of batteries planning in energy storage power stations for load shifting," Renewable Energy, Elsevier, vol. 78(C), pages 643-647.
    4. Shuang Rong & Zhimin Li & Weixing Li, 2015. "Investigation of the Promotion of Wind Power Consumption Using the Thermal-Electric Decoupling Techniques," Energies, MDPI, vol. 8(8), pages 1-17, August.
    5. Zhang, Sufang & Andrews-Speed, Philip & Perera, Pradeep, 2015. "The evolving policy regime for pumped storage hydroelectricity in China: A key support for low-carbon energy," Applied Energy, Elsevier, vol. 150(C), pages 15-24.
    6. Krajačić, Goran & Lončar, Dražen & Duić, Neven & Zeljko, Mladen & Lacal Arántegui, Roberto & Loisel, Rodica & Raguzin, Igor, 2013. "Analysis of financial mechanisms in support to new pumped hydropower storage projects in Croatia," Applied Energy, Elsevier, vol. 101(C), pages 161-171.
    7. Da Liu & Guowei Zhang & Baohua Huang & Weiwei Liu, 2016. "Optimum Electric Boiler Capacity Configuration in a Regional Power Grid for a Wind Power Accommodation Scenario," Energies, MDPI, vol. 9(3), pages 1-13, March.
    8. Huang, Jinbo & Li, Zhigang & Wu, Q.H., 2017. "Coordinated dispatch of electric power and district heating networks: A decentralized solution using optimality condition decomposition," Applied Energy, Elsevier, vol. 206(C), pages 1508-1522.
    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. Yanjuan Yu & Guohua Zhou & Kena Wu & Cheng Chen & Qiang Bian, 2023. "Optimal Configuration of Power-to-Heat Equipment Considering Peak-Shaving Ancillary Service Market," Energies, MDPI, vol. 16(19), pages 1-18, September.
    2. Jun Liu & Jinchun Chen & Chao Wang & Zhang Chen & Xinglei Liu, 2020. "Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory," Energies, MDPI, vol. 13(7), pages 1-24, April.
    3. Tengfei Ma & Junyong Wu & Liangliang Hao & Huaguang Yan & Dezhi Li, 2018. "A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach," Energies, MDPI, vol. 11(10), pages 1-19, October.
    4. Yongli Wang & Haiyang Yu & Mingyue Yong & Yujing Huang & Fuli Zhang & Xiaohai Wang, 2018. "Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss," Energies, MDPI, vol. 11(7), pages 1-21, June.
    5. Yanchen Liu & Minfang Peng, 2024. "Deep Learning Algorithm for Solving Interval of Weight Coefficient of Wind–Thermal–Storage System," Energies, MDPI, vol. 17(5), pages 1-18, February.
    6. Liu, Miaomiao & Liu, Ming & Wang, Yu & Chen, Weixiong & Yan, Junjie, 2021. "Thermodynamic optimization of coal-fired combined heat and power (CHP) systems integrated with steam ejectors to achieve heat–power decoupling," Energy, Elsevier, vol. 229(C).
    7. He Huang & DaPeng Liang & Zhen Tong, 2018. "Integrated Energy Micro-Grid Planning Using Electricity, Heating and Cooling Demands," Energies, MDPI, vol. 11(10), pages 1-20, October.
    8. Zhimin Luo & Jinlong Ma & Zhiqiang Jiang, 2022. "Research on Power System Dispatching Operation under High Proportion of Wind Power Consumption," Energies, MDPI, vol. 15(18), pages 1-17, September.
    9. Jianfeng Li & Dongxiao Niu & Ming Wu & Yongli Wang & Fang Li & Huanran Dong, 2018. "Research on Battery Energy Storage as Backup Power in the Operation Optimization of a Regional Integrated Energy System," Energies, MDPI, vol. 11(11), pages 1-20, November.

    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. Yanjuan Yu & Hongkun Chen & Lei Chen, 2018. "Comparative Study of Electric Energy Storages and Thermal Energy Auxiliaries for Improving Wind Power Integration in the Cogeneration System," Energies, MDPI, vol. 11(2), pages 1-16, January.
    2. Chen, Yuwei & Guo, Qinglai & Sun, Hongbin & Li, Zhengshuo & Pan, Zhaoguang & Wu, Wenchuan, 2019. "A water mass method and its application to integrated heat and electricity dispatch considering thermal inertias," Energy, Elsevier, vol. 181(C), pages 840-852.
    3. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Lin, Zhongwei & Fang, Fang & Chen, Qun, 2021. "Optimal operation of integrated electricity and heat system: A review of modeling and solution methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Da Liu & Shou-Kai Wang & Jin-Chen Liu & Han Huang & Xing-Ping Zhang & Yi Feng & Wei-Jun Wang, 2017. "Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    5. Wang, Lixiao & Jing, Z.X. & Zheng, J.H. & Wu, Q.H. & Wei, Feng, 2018. "Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals," Energy, Elsevier, vol. 158(C), pages 607-622.
    6. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Pan, Bo & Qi, Shiqiang, 2020. "Two-stage stochastic optimal operation of integrated electricity and heat system considering reserve of flexible devices and spatial-temporal correlation of wind power," Applied Energy, Elsevier, vol. 275(C).
    7. Huang, Jinbo & Li, Zhigang & Wu, Q.H., 2017. "Coordinated dispatch of electric power and district heating networks: A decentralized solution using optimality condition decomposition," Applied Energy, Elsevier, vol. 206(C), pages 1508-1522.
    8. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    9. Wang, Dan & Zhi, Yun-qiang & Jia, Hong-jie & Hou, Kai & Zhang, Shen-xi & Du, Wei & Wang, Xu-dong & Fan, Meng-hua, 2019. "Optimal scheduling strategy of district integrated heat and power system with wind power and multiple energy stations considering thermal inertia of buildings under different heating regulation modes," Applied Energy, Elsevier, vol. 240(C), pages 341-358.
    10. Pan, Zhenning & Yu, Tao & Li, Jie & Qu, Kaiping & Yang, Bo, 2020. "Risk-averse real-time dispatch of integrated electricity and heat system using a modified approximate dynamic programming approach," Energy, Elsevier, vol. 198(C).
    11. Liang Tian & Yunlei Xie & Bo Hu & Xinping Liu & Tuoyu Deng & Huanhuan Luo & Fengqiang Li, 2019. "A Deep Peak Regulation Auxiliary Service Bidding Strategy for CHP Units Based on a Risk-Averse Model and District Heating Network Energy Storage," Energies, MDPI, vol. 12(17), pages 1-27, August.
    12. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Zhou, Bo & Guan, Qinyue & Tan, Jin & Lin, Zhongwei & Fang, Fang, 2022. "Day-ahead stochastic scheduling of integrated electricity and heat system considering reserve provision by large-scale heat pumps," Applied Energy, Elsevier, vol. 307(C).
    13. Ping Li & Haixia Wang & Quan Lv & Weidong Li, 2017. "Combined Heat and Power Dispatch Considering Heat Storage of Both Buildings and Pipelines in District Heating System for Wind Power Integration," Energies, MDPI, vol. 10(7), pages 1-19, June.
    14. Lu, Bin & Stocks, Matthew & Blakers, Andrew & Anderson, Kirsten, 2018. "Geographic information system algorithms to locate prospective sites for pumped hydro energy storage," Applied Energy, Elsevier, vol. 222(C), pages 300-312.
    15. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    16. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    17. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    18. Shuang Rong & Weixing Li & Zhimin Li & Yong Sun & Taiyi Zheng, 2015. "Optimal Allocation of Thermal-Electric Decoupling Systems Based on the National Economy by an Improved Conjugate Gradient Method," Energies, MDPI, vol. 9(1), pages 1-21, December.
    19. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    20. Yanyue Wang & Guohua Fang & Zhenni Wang, 2022. "The Benefit Realization Mechanism of Pumped Storage Power Plants Based on Multi-Dimensional Regulation and Leader-Follower Decision-Making," Energies, MDPI, vol. 15(16), pages 1-15, 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:11:y:2018:i:6:p:1476-:d:151018. 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.