IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v293y2024ics0360544224003955.html
   My bibliography  Save this article

Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid

Author

Listed:
  • Elsir, Mohamed
  • Al-Sumaiti, Ameena Saad
  • El Moursi, Mohamed Shawky

Abstract

Fossil fuel power plants continue to contribute significantly to carbon emissions, necessitating a transition towards cleaner energy sources. Despite the growing presence of renewables within the power systems, the incorporation of carbon capture technologies into the traditional thermal power plants holds great potential in emissions reduction. In this paper, the integration of renewable energy sources (RES) and coal-fired power generation units outfitted with carbon capture schemes is addressed. Multiple demand response (DR) programs and hydropower plants are strategically utilized to increase the power system flexibility. To effectively plan the day-ahead (DA) operation of the power system, a presumed market-clearing framework is adopted and modelled as a risk-constrained two-objective stochastic mixed-integer linear programming problem. The proposed framework helps to tackle the uncertainties related to RES and demand variations by employing a hidden Markovian process (HMP) technique. To simultaneously minimize the system’s operational costs and CO2 emissions, an enhanced version of the augmented ɛ-constraint method is employed. To prove its value, the proposed framework is devoted to the 24-bus IEEE reliability test system (IEEE-RTS). The system features substantial penetration of RES (exceeding 87% of peak load) and standard DR options capacities (less than 25% of peak load). The results show a 24% reduction in load peaks, an over 63% decrease in emissions, and a 17% reduction in the overall operation costs.

Suggested Citation

  • Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky, 2024. "Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid," Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224003955
    DOI: 10.1016/j.energy.2024.130623
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224003955
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.130623?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. 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. Zhang, Shuai & Zhuang, Yu & Liu, Linlin & Zhang, Lei & Du, Jian, 2019. "Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    3. Wee, Jung-Ho, 2013. "A review on carbon dioxide capture and storage technology using coal fly ash," Applied Energy, Elsevier, vol. 106(C), pages 143-151.
    4. Abdul Manaf, Norhuda & Qadir, Abdul & Abbas, Ali, 2016. "Temporal multiscalar decision support framework for flexible operation of carbon capture plants targeting low-carbon management of power plant emissions," Applied Energy, Elsevier, vol. 169(C), pages 912-926.
    5. Quarton, Christopher J. & Samsatli, Sheila, 2020. "The value of hydrogen and carbon capture, storage and utilisation in decarbonising energy: Insights from integrated value chain optimisation," Applied Energy, Elsevier, vol. 257(C).
    6. Yang, Dongfeng & Xu, Yang & Liu, Xiaojun & Jiang, Chao & Nie, Fanjie & Ran, Zixu, 2022. "Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies," Energy, Elsevier, vol. 253(C).
    7. Huang, Bin & Xu, Shisen & Gao, Shiwang & Liu, Lianbo & Tao, Jiye & Niu, Hongwei & Cai, Ming & Cheng, Jian, 2010. "Industrial test and techno-economic analysis of CO2 capture in Huaneng Beijing coal-fired power station," Applied Energy, Elsevier, vol. 87(11), pages 3347-3354, November.
    8. Zhang, Kai & Lau, Hon Chung & Bokka, Harsha Kumar & Hadia, Nanji J., 2022. "Decarbonizing the power and industry sectors in India by carbon capture and storage," Energy, Elsevier, vol. 249(C).
    9. Li, Xue & Zhang, Rufeng & Bai, Linquan & Li, Guoqing & Jiang, Tao & Chen, Houhe, 2018. "Stochastic low-carbon scheduling with carbon capture power plants and coupon-based demand response," Applied Energy, Elsevier, vol. 210(C), pages 1219-1228.
    10. Tola, Vittorio & Pettinau, Alberto, 2014. "Power generation plants with carbon capture and storage: A techno-economic comparison between coal combustion and gasification technologies," Applied Energy, Elsevier, vol. 113(C), pages 1461-1474.
    11. Vivian Scott & Stuart Gilfillan & Nils Markusson & Hannah Chalmers & R. Stuart Haszeldine, 2013. "Last chance for carbon capture and storage," Nature Climate Change, Nature, vol. 3(2), pages 105-111, February.
    12. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & B. Gharehpetian, G., 2017. "Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 116-129.
    13. Zhu, Mingjuan & Liu, Yudong & Wu, Xiao & Shen, Jiong, 2023. "Dynamic modeling and comprehensive analysis of direct air-cooling coal-fired power plant integrated with carbon capture for reliable, economic and flexible operation," Energy, Elsevier, vol. 263(PA).
    14. Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky & Al-Awami, Ali Taleb, 2023. "Coordinating the day-ahead operation scheduling for demand response and water desalination plants in smart grid," Applied Energy, Elsevier, vol. 335(C).
    15. Lyu, Xiangmei & Liu, Tianqi & Liu, Xuan & He, Chuan & Nan, Lu & Zeng, Hong, 2023. "Low-carbon robust economic dispatch of park-level integrated energy system considering price-based demand response and vehicle-to-grid," Energy, Elsevier, vol. 263(PB).
    16. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    17. Bassano, Claudia & Deiana, Paolo & Vilardi, Giorgio & Verdone, Nicola, 2020. "Modeling and economic evaluation of carbon capture and storage technologies integrated into synthetic natural gas and power-to-gas plants," Applied Energy, Elsevier, vol. 263(C).
    18. Anand, Himanshu & Narang, Nitin & Dhillon, J.S., 2018. "Profit based unit commitment using hybrid optimization technique," Energy, Elsevier, vol. 148(C), pages 701-715.
    19. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Baxter, Larry L., 2016. "Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit," Applied Energy, Elsevier, vol. 172(C), pages 66-79.
    20. Al-Sumaiti, Ameena Saad & Salama, Magdy M.A. & El-Moursi, Mohamed, 2017. "Enabling electricity access in developing countries: A probabilistic weather driven house based approach," Applied Energy, Elsevier, vol. 191(C), pages 531-548.
    21. Nowotarski, Jakub & Weron, Rafał, 2018. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
    22. Lei, Dayong & Zhang, Zhonghui & Wang, Zhaojun & Zhang, Liuyu & Liao, Wei, 2023. "Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS," Energy, Elsevier, vol. 280(C).
    23. Ma, Yiming & Wang, Haixin & Hong, Feng & Yang, Junyou & Chen, Zhe & Cui, Haoqian & Feng, Jiawei, 2021. "Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system," Energy, Elsevier, vol. 236(C).
    24. Zhang, Gaohang & Li, Fengting & Wang, Sen & Yin, Chunya, 2023. "Robust low-carbon energy and reserve scheduling considering operational risk and flexibility improvement," Energy, Elsevier, vol. 284(C).
    25. Zhou, Wenji & Zhu, Bing & Fuss, Sabine & Szolgayová, Jana & Obersteiner, Michael & Fei, Weiyang, 2010. "Uncertainty modeling of CCS investment strategy in China's power sector," Applied Energy, Elsevier, vol. 87(7), pages 2392-2400, July.
    26. 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).
    27. Wu, Min & Xu, Jiazhu & Shi, Zhenglu, 2023. "Low carbon economic dispatch of integrated energy system considering extended electric heating demand response," Energy, Elsevier, vol. 278(PA).
    28. Herzog, Howard J., 2011. "Scaling up carbon dioxide capture and storage: From megatons to gigatons," Energy Economics, Elsevier, vol. 33(4), pages 597-604, July.
    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. Li, Xuehan & Wang, Wei & Ye, Lingling & Ren, Guorui & Fang, Fang & Liu, Jizhen & Chen, Zhe & Zhou, Qiang, 2024. "Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design," Energy, Elsevier, vol. 300(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. Li, Xue & Zhang, Rufeng & Bai, Linquan & Li, Guoqing & Jiang, Tao & Chen, Houhe, 2018. "Stochastic low-carbon scheduling with carbon capture power plants and coupon-based demand response," Applied Energy, Elsevier, vol. 210(C), pages 1219-1228.
    2. Huang, Shangjiu & Lu, Hao & Chen, Maozhi & Zhao, Wenjun, 2023. "Integrated energy system scheduling considering the correlation of uncertainties," Energy, Elsevier, vol. 283(C).
    3. Zhang, Bin & Wu, Xuewei & Ghias, Amer M.Y.M. & Chen, Zhe, 2023. "Coordinated carbon capture systems and power-to-gas dynamic economic energy dispatch strategy for electricity–gas coupled systems considering system uncertainty: An improved soft actor–critic approach," Energy, Elsevier, vol. 271(C).
    4. Wang, Haibing & Zhao, Anjie & Khan, Muhammad Qasim & Sun, Weiqing, 2024. "Optimal operation of energy hub considering reward-punishment ladder carbon trading and electrothermal demand coupling," Energy, Elsevier, vol. 286(C).
    5. Lei, Dayong & Zhang, Zhonghui & Wang, Zhaojun & Zhang, Liuyu & Liao, Wei, 2023. "Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS," Energy, Elsevier, vol. 280(C).
    6. Yang, Dongfeng & Xu, Yang & Liu, Xiaojun & Jiang, Chao & Nie, Fanjie & Ran, Zixu, 2022. "Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies," Energy, Elsevier, vol. 253(C).
    7. Shakerian, Farid & Kim, Ki-Hyun & Szulejko, Jan E. & Park, Jae-Woo, 2015. "A comparative review between amines and ammonia as sorptive media for post-combustion CO2 capture," Applied Energy, Elsevier, vol. 148(C), pages 10-22.
    8. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    9. Wu, Qunli & Li, Chunxiang, 2023. "Modeling and operation optimization of hydrogen-based integrated energy system with refined power-to-gas and carbon-capture-storage technologies under carbon trading," Energy, Elsevier, vol. 270(C).
    10. Ma, Siyu & Liu, Hui & Wang, Ni & Huang, Lidong & Su, Jinshuo & Zhao, Teyang, 2024. "Incentive-based integrated demand response with multi-energy time-varying carbon emission factors," Applied Energy, Elsevier, vol. 359(C).
    11. Yuxing Liu & Linjun Zeng & Jie Zeng & Zhenyi Yang & Na Li & Yuxin Li, 2023. "Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP," Energies, MDPI, vol. 16(5), pages 1-17, February.
    12. Zhang, Minkai & Guo, Yincheng, 2013. "Rate based modeling of absorption and regeneration for CO2 capture by aqueous ammonia solution," Applied Energy, Elsevier, vol. 111(C), pages 142-152.
    13. Rochedo, Pedro R.R. & Szklo, Alexandre, 2013. "Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation," Applied Energy, Elsevier, vol. 108(C), pages 383-391.
    14. Wang, Nan & Akimoto, Keigo & Nemet, Gregory F., 2021. "What went wrong? Learning from three decades of carbon capture, utilization and sequestration (CCUS) pilot and demonstration projects," Energy Policy, Elsevier, vol. 158(C).
    15. Xiping Wang & Hongdou Zhang, 2018. "Valuation of CCS investment in China's coal‐fired power plants based on a compound real options model," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(5), pages 978-988, October.
    16. Yang, Lin & Xu, Mao & Fan, Jingli & Liang, Xi & Zhang, Xian & Lv, Haodong & Wang, Dong, 2021. "Financing coal-fired power plant to demonstrate CCS (carbon capture and storage) through an innovative policy incentive in China," Energy Policy, Elsevier, vol. 158(C).
    17. Quarton, Christopher J. & Samsatli, Sheila, 2020. "The value of hydrogen and carbon capture, storage and utilisation in decarbonising energy: Insights from integrated value chain optimisation," Applied Energy, Elsevier, vol. 257(C).
    18. Ankang Miao & Yue Yuan & Yi Huang & Han Wu & Chao Feng, 2023. "Stochastic Optimization Model of Capacity Configuration for Integrated Energy Production System Considering Source-Load Uncertainty," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    19. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    20. Shi, Zhengkun & Yang, Yongbiao & Xu, Qingshan & Wu, Chenyu & Hua, Kui, 2023. "A low-carbon economic dispatch for integrated energy systems with CCUS considering multi-time-scale allocation of carbon allowance," Applied Energy, Elsevier, vol. 351(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:eee:energy:v:293:y:2024:i:c:s0360544224003955. 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.