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Distributionally robust optimal dispatching method for integrated energy system with concentrating solar power plant

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  • Li, Haobin
  • Lu, Xinhui
  • Zhou, Kaile
  • Shao, Zhen

Abstract

Concentrating solar power (CSP) plants have significant potential to complement the growing wind energy in power scheduling. This study examines an integrated energy system (IES) that incorporates a wind turbine (WT), CSP, and combined heat and power (CHP) to promote the utilization of renewable energy (RE), reduce fluctuations caused by uncertainty, and enhance the economic viability of the system. We propose a distributionally robust optimization (DRO) model for IES scheduling that considers the uncertainty of wind power by using an ambiguity set defined by the Wasserstein metric. Before the occurrence of uncertainties, the system determines the initial dispatching scheme based on the forecast data. In the second stage, the system aims to minimize the adjustment cost expectation under the worst distribution of the ambiguity set and adjusts the flexible resources in real time to offset the fluctuations caused by forecasting errors. The proposed DRO model is transformed into a conventional two-stage robust problem using strong dual theory and KKT conditions, and then solved with a modified column-and-constraint generation (C&CG) algorithm. The results of case studies show that the CSP plant enhances the system's flexibility and controllability through thermal energy storage (TES).

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  • Li, Haobin & Lu, Xinhui & Zhou, Kaile & Shao, Zhen, 2024. "Distributionally robust optimal dispatching method for integrated energy system with concentrating solar power plant," Renewable Energy, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:renene:v:229:y:2024:i:c:s0960148124008607
    DOI: 10.1016/j.renene.2024.120792
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    1. Hou, Hui & Tang, Junyi & Zhang, Zhiwei & Wang, Zhuo & Wei, Ruizeng & Wang, Lei & He, Huan & Wu, Xixiu, 2023. "Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming," Applied Energy, Elsevier, vol. 338(C).
    2. Lu, Xinhui & Liu, Zhaoxi & Ma, Li & Wang, Lingfeng & Zhou, Kaile & Yang, Shanlin, 2020. "A robust optimization approach for coordinated operation of multiple energy hubs," Energy, Elsevier, vol. 197(C).
    3. Du, Ershun & Zhang, Ning & Hodge, Bri-Mathias & Kang, Chongqing & Kroposki, Benjamin & Xia, Qing, 2018. "Economic justification of concentrating solar power in high renewable energy penetrated power systems," Applied Energy, Elsevier, vol. 222(C), pages 649-661.
    4. Esteban-Pérez, Adrián & Morales, Juan M., 2023. "Distributionally robust optimal power flow with contextual information," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1047-1058.
    5. Islam, Shirazul & Iqbal, Atif & Marzband, Mousa & Khan, Irfan & Al-Wahedi, Abdullah M.A.B., 2022. "State-of-the-art vehicle-to-everything mode of operation of electric vehicles and its future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    6. Maroufmashat, Azadeh & Elkamel, Ali & Fowler, Michael & Sattari, Sourena & Roshandel, Ramin & Hajimiragha, Amir & Walker, Sean & Entchev, Evgueniy, 2015. "Modeling and optimization of a network of energy hubs to improve economic and emission considerations," Energy, Elsevier, vol. 93(P2), pages 2546-2558.
    7. Wen, Lulu & Zhou, Kaile & Yang, Shanlin & Lu, Xinhui, 2019. "Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting," Energy, Elsevier, vol. 171(C), pages 1053-1065.
    8. Xiong, Houbo & Yan, Mingyu & Guo, Chuangxin & Ding, Yi & Zhou, Yue, 2023. "DP based multi-stage ARO for coordinated scheduling of CSP and wind energy with tractable storage scheme: Tight formulation and solution technique," Applied Energy, Elsevier, vol. 333(C).
    9. Tyagi, V.V. & Kaushik, S.C. & Tyagi, S.K., 2012. "Advancement in solar photovoltaic/thermal (PV/T) hybrid collector technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1383-1398.
    10. Khaloie, Hooman & Abdollahi, Amir & Shafie-khah, Miadreza & Anvari-Moghaddam, Amjad & Nojavan, Sayyad & Siano, Pierluigi & Catalão, João P.S., 2020. "Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model," Applied Energy, Elsevier, vol. 259(C).
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