IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v160y2018icp668-677.html
   My bibliography  Save this article

Look-ahead risk-constrained scheduling of wind power integrated system with compressed air energy storage (CAES) plant

Author

Listed:
  • Aliasghari, Parinaz
  • Zamani-Gargari, Milad
  • Mohammadi-Ivatloo, Behnam

Abstract

Due to increasing penetration of the renewable energy resources in modern power systems, the uncertain nature of these resources should be managed in real and near real-time scheduling. This paper investigates the benefits and applicability of look-ahead scheduling of integrated system including conventional generation units, wind power and compressed air energy storage (CAES). Different scenarios have been generated to model the uncertain parameters in the scheduling problem. To control and evaluate this stochastic process, the conditional value at risk (CVaR) framework has been implemented. Demand response programs have applied on the model to minimize the total cost and increase the flexibility requirement. This problem is formulated as mixed integer non-linear programming (MINLP) model with consideration of technical constraints of conventional generation, wind and CAES units. According to the numerical results, the operating profit could be maximized by the use of look-ahead approach and implementation of DR program.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:160:y:2018:i:c:p:668-677
    DOI: 10.1016/j.energy.2018.06.215
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218312805
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.06.215?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. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    2. Cortés-Arcos, Tomás & Bernal-Agustín, José L. & Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Contreras, Javier, 2017. "Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology," Energy, Elsevier, vol. 138(C), pages 19-31.
    3. Hasan, Nor Shahida & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Omar, Wan Zaidi Wan & Rosmin, Norzanah, 2016. "Improving power grid performance using parallel connected Compressed Air Energy Storage and wind turbine system," Renewable Energy, Elsevier, vol. 96(PA), pages 498-508.
    4. Abbaspour, M. & Satkin, M. & Mohammadi-Ivatloo, B. & Hoseinzadeh Lotfi, F. & Noorollahi, Y., 2013. "Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)," Renewable Energy, Elsevier, vol. 51(C), pages 53-59.
    5. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    6. Kubik, M.L. & Coker, P.J. & Barlow, J.F. & Hunt, C., 2013. "A study into the accuracy of using meteorological wind data to estimate turbine generation output," Renewable Energy, Elsevier, vol. 51(C), pages 153-158.
    7. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    8. Bouman, Evert A. & Øberg, Martha M. & Hertwich, Edgar G., 2016. "Environmental impacts of balancing offshore wind power with compressed air energy storage (CAES)," Energy, Elsevier, vol. 95(C), pages 91-98.
    9. Safaei, Hossein & Keith, David, 2014. "Compressed air energy storage with waste heat export: An Alberta case study," Scholarly Articles 13489207, Harvard Kennedy School of Government.
    10. Chen, Jie & Liu, Wei & Jiang, Deyi & Zhang, Junwei & Ren, Song & Li, Lin & Li, Xiaokang & Shi, Xilin, 2017. "Preliminary investigation on the feasibility of a clean CAES system coupled with wind and solar energy in China," Energy, Elsevier, vol. 127(C), pages 462-478.
    11. Hemmati, Reza & Saboori, Hedayat & Saboori, Saeid, 2016. "Stochastic risk-averse coordinated scheduling of grid integrated energy storage units in transmission constrained wind-thermal systems within a conditional value-at-risk framework," Energy, Elsevier, vol. 113(C), pages 762-775.
    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. Ekaterina Abramova & Derek Bunn, 2021. "Optimal Daily Trading of Battery Operations Using Arbitrage Spreads," Energies, MDPI, vol. 14(16), pages 1-23, August.
    3. Guo, Huan & Xu, Yujie & Zhang, Xinjing & Zhou, Xuezhi & Chen, Haisheng, 2020. "Transmission characteristics of exergy for novel compressed air energy storage systems-from compression and expansion sections to the whole system," Energy, Elsevier, vol. 193(C).
    4. Majidi, M. & Mohammadi-Ivatloo, B. & Soroudi, A., 2019. "Application of information gap decision theory in practical energy problems: A comprehensive review," Applied Energy, Elsevier, vol. 249(C), pages 157-165.
    5. Díaz, Guzmán & Coto, José & Gómez-Aleixandre, Javier, 2019. "Optimal operation value of combined wind power and energy storage in multi-stage electricity markets," Applied Energy, Elsevier, vol. 235(C), pages 1153-1168.
    6. Khojasteh, Meysam & Faria, Pedro & Vale, Zita, 2022. "A robust model for aggregated bidding of energy storages and wind resources in the joint energy and reserve markets," Energy, Elsevier, vol. 238(PB).
    7. Zare Oskouei, Morteza & Mirzaei, Mohammad Amin & Mohammadi-Ivatloo, Behnam & Shafiee, Mahmood & Marzband, Mousa & Anvari-Moghaddam, Amjad, 2021. "A hybrid robust-stochastic approach to evaluate the profit of a multi-energy retailer in tri-layer energy markets," Energy, Elsevier, vol. 214(C).
    8. 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).
    9. 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).
    10. 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.
    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. 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.
    13. Luyu Wang & Houbo Xiong & Yunhui Shi & Chuangxin Guo, 2023. "Rolling Horizon Robust Real-Time Economic Dispatch with Multi-Stage Dynamic Modeling," Mathematics, MDPI, vol. 11(11), pages 1-20, June.
    14. Sara Haghifam & Kazem Zare & Mehdi Abapour & Gregorio Muñoz-Delgado & Javier Contreras, 2020. "A Stackelberg Game-Based Approach for Transactive Energy Management in Smart Distribution Networks," Energies, MDPI, vol. 13(14), pages 1-34, July.
    15. 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.
    16. 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.
    17. 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).
    18. Xu, Xiao & Hu, Weihao & Liu, Wen & Du, Yuefang & Huang, Rui & Huang, Qi & Chen, Zhe, 2021. "Look-ahead risk-constrained scheduling for an energy hub integrated with renewable energy," Applied Energy, Elsevier, vol. 297(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. 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).
    2. 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.
    3. 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.
    4. 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).
    5. Zhang, Yi & Xu, Yujie & Zhou, Xuezhi & Guo, Huan & Zhang, Xinjing & Chen, Haisheng, 2019. "Compressed air energy storage system with variable configuration for accommodating large-amplitude wind power fluctuation," Applied Energy, Elsevier, vol. 239(C), pages 957-968.
    6. 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).
    7. Reddy, S. Surender, 2017. "Optimal scheduling of thermal-wind-solar power system with storage," Renewable Energy, Elsevier, vol. 101(C), pages 1357-1368.
    8. Zhang, Xiong & Liu, Wei & Jiang, Deyi & Qiao, Weibiao & Liu, Enbin & Zhang, Nan & Fan, Jinyang, 2021. "Investigation on the influences of interlayer contents on stability and usability of energy storage caverns in bedded rock salt," Energy, Elsevier, vol. 231(C).
    9. Ruixiong Li & Huanran Wang & Erren Yao & Shuyu Zhang, 2016. "Thermo-Economic Comparison and Parametric Optimizations among Two Compressed Air Energy Storage System Based on Kalina Cycle and ORC," Energies, MDPI, vol. 10(1), pages 1-19, December.
    10. Prajapati, Vijaykumar K. & Mahajan, Vasundhara, 2021. "Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources," Energy, Elsevier, vol. 215(PB).
    11. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    12. Steinmann, Wolf-Dieter, 2017. "Thermo-mechanical concepts for bulk energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 205-219.
    13. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    14. 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).
    15. Venkataramani, Gayathri & Vijayamithran, Pranesh & Li, Yongliang & Ding, Yulong & Chen, Haisheng & Ramalingam, Velraj, 2019. "Thermodynamic analysis on compressed air energy storage augmenting power / polygeneration for roundtrip efficiency enhancement," Energy, Elsevier, vol. 180(C), pages 107-120.
    16. Moradi, Jalal & Shahinzadeh, Hossein & Khandan, Amirsalar & Moazzami, Majid, 2017. "A profitability investigation into the collaborative operation of wind and underwater compressed air energy storage units in the spot market," Energy, Elsevier, vol. 141(C), pages 1779-1794.
    17. Xiao, Feng & Chen, Wei & Zhang, Bin & Zhang, Tong & Xie, Ningning & Wang, Zhitao & Chen, Hui & Xue, Xiaodai, 2023. "A novel constant power operation mode of constant volume expansion process for AA-CAES: Regulation strategy, dynamic simulation, and comparison," Energy, Elsevier, vol. 284(C).
    18. 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.
    19. Katsaprakakis, Dimitris Al & Thomsen, Bjarti & Dakanali, Irini & Tzirakis, Kostas, 2019. "Faroe Islands: Towards 100% R.E.S. penetration," Renewable Energy, Elsevier, vol. 135(C), pages 473-484.
    20. Erdinc, Ozan, 2014. "Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households," Applied Energy, Elsevier, vol. 126(C), pages 142-150.

    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:160:y:2018:i:c:p:668-677. 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.