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Research on Power System Dispatching Operation under High Proportion of Wind Power Consumption

Author

Listed:
  • Zhimin Luo

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jinlong Ma

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zhiqiang Jiang

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

For the multi-energy power system composed of thermal power, wind power, and a pumped-storage power station aiming at minimizing coal consumption of the power grid, an optimal dispatch model is established in this paper. Its advantage is to allow the power grid to accept a high proportion of new energy while ensuring power demand. The dynamic programming method is used to solve the problem. In the solution process, the traditional dynamic programming method is improved by introducing the penalty function and the dynamic value of the state variable, which can ensure the reliability of the power supply while achieving the optimization goal, as well as realize the full utilization of energy. Using the example of a high proportion of wind power systems with a pumped-storage power station as the energy storage mode and considering the relevant constraints after the heating transformation of the thermal power plant, our built model solves these challenges. The results show that when the maximum pumping power of the pumped-storage power station reaches 1138 MW and the maximum generating power reaches 755 MW, the wind curtailment and power rationing during the off-peak period of heating can be reduced from the previous 58,158 MWH and 46,838 MWH to almost 0, and the wind curtailment and power rationing during the peak period of heating can be reduced from the previous 77,656 MWH and 53,780 MWH to almost 0, so as to realize the flexible operation of the power grid.

Suggested Citation

  • Zhimin Luo & Jinlong Ma & Zhiqiang Jiang, 2022. "Research on Power System Dispatching Operation under High Proportion of Wind Power Consumption," Energies, MDPI, vol. 15(18), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6819-:d:918001
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    References listed on IDEAS

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    1. Elżbieta Kacperska & Katarzyna Łukasiewicz & Piotr Pietrzak, 2021. "Use of Renewable Energy Sources in the European Union and the Visegrad Group Countries—Results of Cluster Analysis," Energies, MDPI, vol. 14(18), pages 1-17, September.
    2. Xiaojuan Han & Feng Wang & Chunguang Tian & Kai Xue & Junfeng Zhang, 2018. "Economic Evaluation of Actively Consuming Wind Power for an Integrated Energy System Based on Game Theory," Energies, MDPI, vol. 11(6), pages 1-25, June.
    3. Olexandr Shavolkin & Iryna Shvedchykova & Michal Kolcun & Dušan Medved’, 2022. "Improvement of the Grid-Tied Solar-Wind System with a Storage Battery for the Self-Consumption of a Local Object," Energies, MDPI, vol. 15(14), pages 1-18, July.
    4. Suiling Wang & Zhiqiang Jiang & Yi Liu, 2022. "Dimensionality Reduction Method of Dynamic Programming under Hourly Scale and Its Application in Optimal Scheduling of Reservoir Flood Control," Energies, MDPI, vol. 15(3), pages 1-17, January.
    5. Zack Norwood & Joel Goop & Mikael Odenberger, 2017. "The Future of the European Electricity Grid Is Bright: Cost Minimizing Optimization Shows Solar with Storage as Dominant Technologies to Meet European Emissions Targets to 2050," Energies, MDPI, vol. 10(12), pages 1-31, December.
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