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Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty

Author

Listed:
  • Min Xu

    (Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Wanwei Li

    (Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Zhihui Feng

    (Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Wangwang Bai

    (Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Lingling Jia

    (College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
    Shenzhen Zhongdian Electric Power Technology Co., Ltd., Shenzhen 518000, China)

  • Zhanhong Wei

    (College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

Abstract

To solve the problem regarding the large-scale grid-connected consumption of a high proportion of new energy sources, a concentrating solar power (CSP)-photovoltaic (PV)-wind power day-ahead and intraday-coordinated optimal dispatching method considering source load uncertainty is proposed. First, the uncertainty of day-ahead wind power output prediction is described by the multi-scenario stochastic planning method, and the uncertainty of intraday source-load is characterized by the trapezoidal fuzzy number equivalence model. Second, based on the combined scenario set of day-ahead wind power output prediction, the day-ahead optimal dispatch is performed by combining thermal and CSP plants, and the day-ahead thermal and CSP plant dispatch output and intraday source load fuzzy dataset are used as the input quantities for the day-ahead dispatch. Thus, the scheduling output and rotating backup plan for thermal power and CSP plants were determined; finally, the validity and feasibility of the model were verified using arithmetic examples.

Suggested Citation

  • Min Xu & Wanwei Li & Zhihui Feng & Wangwang Bai & Lingling Jia & Zhanhong Wei, 2023. "Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty," Energies, MDPI, vol. 16(4), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1696-:d:1062006
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    References listed on IDEAS

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    1. Zhengjie Li & Zhisheng Zhang, 2021. "Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting," Energies, MDPI, vol. 14(9), pages 1-14, April.
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    Cited by:

    1. Markos A. Kousounadis-Knousen & Ioannis K. Bazionis & Athina P. Georgilaki & Francky Catthoor & Pavlos S. Georgilakis, 2023. "A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models," Energies, MDPI, vol. 16(15), pages 1-29, July.

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