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The Semi-Scheduling Mode of Multi-Energy System Considering Risk–Utility in Day-Ahead Market

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  • Xian Yang

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
    Hunan Key Laboratory of Energy Perception and Edge Computing, Hunan City University, Yiyang 413002, China)

  • Ye Cai

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Yijia Cao

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Shaowei Duan

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Liang Tang

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Zhijian Jia

    (State Grid Yiyang Power Supply Company, State Grid, Yiyang 413000, China)

Abstract

The large-scale development of renewable energy has an urgent demand for an adjustable power supply. For a multi-energy system with multiple types of heterogeneous power sources, including wind power, photovoltaic (PV) power, hydropower, thermal power and pumped storage, a novel semi-scheduling mode and a solution method were proposed in this paper. Firstly, based on the load and the reserve demand during the peak load period, the semi-scheduling mode was adopted to determine the start-up combination of thermal power units. Furthermore, by predicting the generating/pumping power, the working state of pumped storage units was determined to realize the independent solution of discrete integer variables. Secondly, the risk–utility function was constructed to quantify the attitude of pumped storage towards the uncertainty of renewable energy output, which completed the quotation and clearing of the pumped storage in the ancillary service market. Finally, by taking the minimum total quotation cost as the objective, the wind–solar–hydro- thermal-pumped storage coordinated (WSHTPC) model was built in the day-ahead market. The feasibility and effectiveness of the proposed model were verified through the simulation of a typical day with different renewable energy penetration rates.

Suggested Citation

  • Xian Yang & Ye Cai & Yijia Cao & Shaowei Duan & Liang Tang & Zhijian Jia, 2022. "The Semi-Scheduling Mode of Multi-Energy System Considering Risk–Utility in Day-Ahead Market," Energies, MDPI, vol. 15(21), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8147-:d:959819
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    References listed on IDEAS

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    1. Dai Cui & Fei Xu & Weichun Ge & Pengxiang Huang & Yunhai Zhou, 2020. "A Coordinated Dispatching Model Considering Generation and Operation Reserve in Wind Power-Photovoltaic-Pumped Storage System," Energies, MDPI, vol. 13(18), pages 1-24, September.
    2. Severin Borenstein & James Bushnell, 2015. "The US Electricity Industry After 20 Years of Restructuring," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 437-463, August.
    3. Ruijie Liu & Zhejing Bao & Jun Zheng & Lingxia Lu & Miao Yu, 2021. "Two-Stage Robust and Economic Scheduling for Electricity-Heat Integrated Energy System under Wind Power Uncertainty," Energies, MDPI, vol. 14(24), pages 1-25, December.
    4. Gao, Renbo & Wu, Fei & Zou, Quanle & Chen, Jie, 2022. "Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China," Energy, Elsevier, vol. 243(C).
    5. 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.
    6. Wang, Xuebin & Chang, Jianxia & Meng, Xuejiao & Wang, Yimin, 2018. "Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems," Applied Energy, Elsevier, vol. 229(C), pages 945-962.
    7. Barbour, Edward & Wilson, I.A. Grant & Radcliffe, Jonathan & Ding, Yulong & Li, Yongliang, 2016. "A review of pumped hydro energy storage development in significant international electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 421-432.
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