IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v206y2020ics0360544220311580.html
   My bibliography  Save this article

Modeling and dispatch of advanced adiabatic compressed air energy storage under wide operating range in distribution systems with renewable generation

Author

Listed:
  • Bai, Jiayu
  • Wei, Wei
  • Chen, Laijun
  • Mei, Shengwei

Abstract

Advanced adiabatic compressed air energy storage (AA-CAES) is a scalable physical energy storage technology with great potential in peak regulation and renewables accommodation. Due to load fluctuation and limited volume of air tank and heat reservoir, the operating status of AA-CAES often varies in a wide range, which is called off-design or part load status, and thus the charging/discharging efficiency and generation capacity tightly correlate with the power level and storage states. This paper proposes a tri-state model of AA-CAES which meets the computational requirements of power system dispatch. Thermodynamics at the compression and expansion side can be characterized via either theoretical analysis or experiments, and the three storage states that impact charging/discharging power is calibrated by piecewise linear functions. By above construction, AA-CAES resembles a traditional battery storage except for the three correlated storage states and state-dependent charging/discharging efficiencies, while the thermodynamics related information is encapsulated in the piecewise linear approximation. As a result, the power system dispatch problem gives rise to a mixed-integer nonlinear program. An efficient linearization method is proposed, in which the number of binary variables involved is a logarithmic function in the number of breakpoints. IEEE 33-bus system is used to validate the proposed model.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220311580
    DOI: 10.1016/j.energy.2020.118051
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220311580
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.118051?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tafone, Alessio & Ding, Yulong & Li, Yongliang & Xie, Chunping & Romagnoli, Alessandro, 2020. "Levelised Cost of Storage (LCOS) analysis of liquid air energy storage system integrated with Organic Rankine Cycle," Energy, Elsevier, vol. 198(C).
    2. Rehman, Shafiqur & Al-Hadhrami, Luai M. & Alam, Md. Mahbub, 2015. "Pumped hydro energy storage system: A technological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 586-598.
    3. 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.
    4. Benato, Alberto, 2017. "Performance and cost evaluation of an innovative Pumped Thermal Electricity Storage power system," Energy, Elsevier, vol. 138(C), pages 419-436.
    5. Drury, Easan & Denholm, Paul & Sioshansi, Ramteen, 2011. "The value of compressed air energy storage in energy and reserve markets," Energy, Elsevier, vol. 36(8), pages 4959-4973.
    6. Aliasghari, Parinaz & Zamani-Gargari, Milad & Mohammadi-Ivatloo, Behnam, 2018. "Look-ahead risk-constrained scheduling of wind power integrated system with compressed air energy storage (CAES) plant," Energy, Elsevier, vol. 160(C), pages 668-677.
    7. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    8. Leonard, Matthew D. & Michaelides, Efstathios E. & Michaelides, Dimitrios N., 2020. "Energy storage needs for the substitution of fossil fuel power plants with renewables," Renewable Energy, Elsevier, vol. 145(C), pages 951-962.
    9. Cheng, Chuntian & Su, Chengguo & Wang, Peilin & Shen, Jianjian & Lu, Jianyu & Wu, Xinyu, 2018. "An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids," Energy, Elsevier, vol. 163(C), pages 722-733.
    10. Taner, Tolga, 2018. "Energy and exergy analyze of PEM fuel cell: A case study of modeling and simulations," Energy, Elsevier, vol. 143(C), pages 284-294.
    11. Rahmanifard, Hamid & Plaksina, Tatyana, 2019. "Hybrid compressed air energy storage, wind and geothermal energy systems in Alberta: Feasibility simulation and economic assessment," Renewable Energy, Elsevier, vol. 143(C), pages 453-470.
    12. Nojavan, Sayyad & Najafi-Ghalelou, Afshin & Majidi, Majid & Zare, Kazem, 2018. "Optimal bidding and offering strategies of merchant compressed air energy storage in deregulated electricity market using robust optimization approach," Energy, Elsevier, vol. 142(C), pages 250-257.
    13. Christoph Jakiel & Stefan Zunft & Andreas Nowi, 2007. "Adiabatic compressed air energy storage plants for efficient peak load power supply from wind energy: the European project AA-CAES," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 5(3), pages 296-306.
    14. Zhao, Pan & Gao, Lin & Wang, Jiangfeng & Dai, Yiping, 2016. "Energy efficiency analysis and off-design analysis of two different discharge modes for compressed air energy storage system using axial turbines," Renewable Energy, Elsevier, vol. 85(C), pages 1164-1177.
    15. Luo, Xing & Wang, Jihong & Krupke, Christopher & Wang, Yue & Sheng, Yong & Li, Jian & Xu, Yujie & Wang, Dan & Miao, Shihong & Chen, Haisheng, 2016. "Modelling study, efficiency analysis and optimisation of large-scale Adiabatic Compressed Air Energy Storage systems with low-temperature thermal storage," Applied Energy, Elsevier, vol. 162(C), pages 589-600.
    16. Jadidbonab, Mohammad & Babaei, Ebrahim & Mohammadi-ivatloo, Behnam, 2019. "CVaR-constrained scheduling strategy for smart multi carrier energy hub considering demand response and compressed air energy storage," Energy, Elsevier, vol. 174(C), pages 1238-1250.
    17. Han, Zhonghe & Guo, Senchuang, 2018. "Investigation of operation strategy of combined cooling, heating and power(CCHP) system based on advanced adiabatic compressed air energy storage," Energy, Elsevier, vol. 160(C), pages 290-308.
    18. Jiang, Runhua & Qin, Frank G.F. & Chen, Baiman & Yang, Xiaoping & Yin, Huibin & Xu, Yongjun, 2019. "Thermodynamic performance analysis, assessment and comparison of an advanced trigenerative compressed air energy storage system under different operation strategies," Energy, Elsevier, vol. 186(C).
    19. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    20. McTigue, Joshua D. & White, Alexander J. & Markides, Christos N., 2015. "Parametric studies and optimisation of pumped thermal electricity storage," Applied Energy, Elsevier, vol. 137(C), pages 800-811.
    21. He, Yang & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2018. "Compression performance optimization considering variable charge pressure in an adiabatic compressed air energy storage system," Energy, Elsevier, vol. 165(PB), pages 349-359.
    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. 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).
    2. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    3. Wu, Danman & Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2021. "Optimal bidding and scheduling of AA-CAES based energy hub considering cascaded consumption of heat," Energy, Elsevier, vol. 233(C).
    4. 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).
    5. Gouda, El Mehdi & Neu, Thibault & Benaouicha, Mustapha & Fan, Yilin & Subrenat, Albert & Luo, Lingai, 2023. "Experimental and numerical investigation on the flow and heat transfer behaviors during a compression–cooling–expansion cycle using a liquid piston for compressed air energy storage," Energy, Elsevier, vol. 277(C).
    6. Bai, Jiayu & Liu, Feng & Xue, Xiaodai & Wei, Wei & Chen, Laijun & Wang, Guohua & Mei, Shengwei, 2021. "Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions," Energy, Elsevier, vol. 218(C).
    7. Emiliano Borri & Alessio Tafone & Gabriele Comodi & Alessandro Romagnoli & Luisa F. Cabeza, 2022. "Compressed Air Energy Storage—An Overview of Research Trends and Gaps through a Bibliometric Analysis," Energies, MDPI, vol. 15(20), pages 1-21, October.
    8. Li, Guangkuo & Chen, Laijun & Xue, Xiaodai & Guo, Zhongjie & Wang, Guohua & Xie, Ningning & Mei, Shengwei, 2022. "Multi-mode optimal operation of advanced adiabatic compressed air energy storage: Explore its value with condenser operation," Energy, Elsevier, vol. 248(C).
    9. Fu, Hailun & Hua, Qingsong & Shi, Juan & Sun, Li, 2023. "Photothermal-assisted scheme design and thermodynamic analysis of advanced adiabatic compressed air energy storage system," Renewable Energy, Elsevier, vol. 215(C).
    10. Wang, Xuan & Wang, Shouxiang & Zhao, Qianyu & Lin, Zhuoran, 2023. "Low-carbon coordinated operation of electric-heat-gas-hydrogen interconnected system and benchmark design considering multi-energy spatial and dynamic coupling," Energy, Elsevier, vol. 279(C).
    11. Gouda, El Mehdi & Benaouicha, Mustapha & Neu, Thibault & Fan, Yilin & Luo, Lingai, 2022. "Flow and heat transfer characteristics of air compression in a liquid piston for compressed air energy storage," Energy, Elsevier, vol. 254(PB).
    12. He, Wei & Dooner, Mark & King, Marcus & Li, Dacheng & Guo, Songshan & Wang, Jihong, 2021. "Techno-economic analysis of bulk-scale compressed air energy storage in power system decarbonisation," Applied Energy, Elsevier, vol. 282(PA).

    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. Wu, Danman & Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2021. "Optimal bidding and scheduling of AA-CAES based energy hub considering cascaded consumption of heat," Energy, Elsevier, vol. 233(C).
    2. Bai, Jiayu & Liu, Feng & Xue, Xiaodai & Wei, Wei & Chen, Laijun & Wang, Guohua & Mei, Shengwei, 2021. "Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions," Energy, Elsevier, vol. 218(C).
    3. 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).
    4. 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).
    5. 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).
    6. 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.
    7. Shang Chen & Ahmad Arabkoohsar & Guodong Chen & Mads Pagh Nielsen, 2022. "Optimization of a Hybrid Energy System with District Heating and Cooling Considering Off-Design Characteristics of Components, an Effort on Optimal Compressed Air Energy Storage Integration," Energies, MDPI, vol. 15(13), pages 1-21, June.
    8. Wang, Peizi & Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2020. "Performance evaluation of a combined heat and compressed air energy storage system integrated with ORC for scaling up storage capacity purpose," Energy, Elsevier, vol. 190(C).
    9. 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.
    10. Ma, Xin & Zhang, Chenghui & Li, Ke & Li, Fan & Wang, Haiyang & Chen, Jianfei, 2020. "Optimal dispatching strategy of regional micro energy system with compressed air energy storage," Energy, Elsevier, vol. 212(C).
    11. Zhou, Shenghui & He, Yang & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2020. "Performance analysis of a novel adiabatic compressed air energy system with ejectors enhanced charging process," Energy, Elsevier, vol. 205(C).
    12. 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.
    13. Emiliano Borri & Alessio Tafone & Gabriele Comodi & Alessandro Romagnoli & Luisa F. Cabeza, 2022. "Compressed Air Energy Storage—An Overview of Research Trends and Gaps through a Bibliometric Analysis," Energies, MDPI, vol. 15(20), pages 1-21, October.
    14. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    15. Wang, Liang & Lin, Xipeng & Chai, Lei & Peng, Long & Yu, Dong & Chen, Haisheng, 2019. "Cyclic transient behavior of the Joule–Brayton based pumped heat electricity storage: Modeling and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 523-534.
    16. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    17. Rouindej, Kamyar & Samadani, Ehsan & Fraser, Roydon A., 2020. "A comprehensive data-driven study of electrical power grid and its implications for the design, performance, and operational requirements of adiabatic compressed air energy storage systems," Applied Energy, Elsevier, vol. 257(C).
    18. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    19. Xue, Xiaojun & Li, Jiarui & Liu, Jun & Wu, Yunyun & Chen, Heng & Xu, Gang & Liu, Tong, 2022. "Performance evaluation of a conceptual compressed air energy storage system coupled with a biomass integrated gasification combined cycle," Energy, Elsevier, vol. 247(C).
    20. He, Wei & Dooner, Mark & King, Marcus & Li, Dacheng & Guo, Songshan & Wang, Jihong, 2021. "Techno-economic analysis of bulk-scale compressed air energy storage in power system decarbonisation," Applied Energy, Elsevier, vol. 282(PA).

    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:eee:energy:v:206:y:2020:i:c:s0360544220311580. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.