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Enhancing accuracy of flexibility characterization in integrated energy system design: A variable temporal resolution optimization method

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  • Qin, Yuxiao
  • Liu, Pei
  • Li, Zheng

Abstract

Integrated energy systems offer substantial potential for enhancing renewable energy integration. However, due to the distinct dynamic characteristics between system components, the characterization of system flexibility in integrated energy systems remains a challenge. This further complicates their optimal design, as underestimation or overestimation of flexibility during design can result in unexpected operational performance degradation. This article aims to improve the accuracy of system flexibility characterization in the optimal design of an integrated energy system, and address the conflict between high-precision modeling requirements and the difficulty of solving high-dimensional optimization problems. Specifically, higher temporal resolution operational constraints are adopted to characterize system flexibility, and a variable temporal resolution optimization method is developed, which could effectively reduce computational burden whilst maintaining accuracy. Optimization results demonstrate a significant reduction in solving time, approximately 98.5 %, compared to directly shortening the time step. Moreover, the proposed method ensures optimal results with a reliable system configuration, preventing load loss during operation. Additionally, it significantly reduces total ramping amount and adjustment times of coal-fired units by over 56.0 % and 32.3 % respectively, while achieving a 0.9 % reduction in carbon emissions. Despite these benefits, the total annual costs of the system only experience a minimal increase of 0.6 %.

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  • Qin, Yuxiao & Liu, Pei & Li, Zheng, 2024. "Enhancing accuracy of flexibility characterization in integrated energy system design: A variable temporal resolution optimization method," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031985
    DOI: 10.1016/j.energy.2023.129804
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    1. Bartolini, Andrea & Carducci, Francesco & Muñoz, Carlos Boigues & Comodi, Gabriele, 2020. "Energy storage and multi energy systems in local energy communities with high renewable energy penetration," Renewable Energy, Elsevier, vol. 159(C), pages 595-609.
    2. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid," Applied Energy, Elsevier, vol. 190(C), pages 232-248.
    3. Deason, Wesley, 2018. "Comparison of 100% renewable energy system scenarios with a focus on flexibility and cost," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3168-3178.
    4. Siqin, Zhuoya & Niu, DongXiao & Li, MingYu & Gao, Tian & Lu, Yifan & Xu, Xiaomin, 2022. "Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation," Applied Energy, Elsevier, vol. 321(C).
    5. Zhou, Zhe & Zhang, Jianyun & Liu, Pei & Li, Zheng & Georgiadis, Michael C. & Pistikopoulos, Efstratios N., 2013. "A two-stage stochastic programming model for the optimal design of distributed energy systems," Applied Energy, Elsevier, vol. 103(C), pages 135-144.
    6. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N., 2022. "Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Deane, J.P. & Drayton, G. & Ó Gallachóir, B.P., 2014. "The impact of sub-hourly modelling in power systems with significant levels of renewable generation," Applied Energy, Elsevier, vol. 113(C), pages 152-158.
    8. Zheng, Bingle & Wu, Xiao, 2022. "Integrated capacity configuration and control optimization of off-grid multiple energy system for transient performance improvement," Applied Energy, Elsevier, vol. 311(C).
    9. Hentschel, Julia & Zindler, Henning & Spliethoff, Hartmut, 2017. "Modelling and transient simulation of a supercritical coal-fired power plant: Dynamic response to extended secondary control power output," Energy, Elsevier, vol. 137(C), pages 927-940.
    10. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    11. Cheng, Yaohua & Zhang, Ning & Kirschen, Daniel S. & Huang, Wujing & Kang, Chongqing, 2020. "Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China," Applied Energy, Elsevier, vol. 261(C).
    12. EL-Shimy, M., 2010. "Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt," Renewable Energy, Elsevier, vol. 35(8), pages 1870-1878.
    13. Growitsch Christian & Malischek Raimund & Nick Sebastian & Wetzel Heike, 2015. "The Costs of Power Interruptions in Germany: A Regional and Sectoral Analysis," German Economic Review, De Gruyter, vol. 16(3), pages 307-323, August.
    14. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    15. Nam, KiJeon & Hwangbo, Soonho & Yoo, ChangKyoo, 2020. "A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    16. Xiang, Yue & Guo, Yongtao & Wu, Gang & Liu, Junyong & Sun, Wei & Lei, Yutian & Zeng, Pingliang, 2022. "Low-carbon economic planning of integrated electricity-gas energy systems," Energy, Elsevier, vol. 249(C).
    17. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
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