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New Power System Planning and Evolution Path with Multi-Flexibility Resource Coordination

Author

Listed:
  • Xuejun Li

    (State Grid Gansu Electric Power Company, Lanzhou 730000, China)

  • Jiaxin Qian

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, China)

  • Changhai Yang

    (State Grid Gansu Electric Power Company, Lanzhou 730000, China)

  • Boyang Chen

    (State Grid Gansu Electric Power Company, Lanzhou 730000, China)

  • Xiang Wang

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, China)

  • Zongnan Jiang

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610000, China)

Abstract

With the continuous development of large-scale wind and photovoltaic power worldwide, the net load fluctuation of systems is increasing, thereby imposing higher demands for power supply assurance and new energy consumption capacity within emerging power systems. It is imperative to establish a quantifiable and efficient model for planning new power systems, to propose an analytical approach for determining optimal evolutionary paths, and to advance research on flexible resource planning across wide areas. In this paper, based on the simplified operating characteristics of multi-type flexible resources, a source-grid-load-storage collaborative planning and evolution analysis framework is established. Secondly, the lowest total cost of the whole life cycle of the system is taken as the optimization goal, the multiple flexible resource investment decisions and production operation constraints of various flexible resources on all sides of the system are considered, and the source-grid-load-storage planning model is established. Then, through the investment decision-making strategy setting of the system in different planning level years, the evolutionary path analysis method of the whole life cycle economy and weighted environmental protection benefit of the system is given. Finally, by taking the sending-end power grid in Gansu Province as an example, a case study is carried out. Calculations of new energy, key channels within the province, energy storage capacity, and load-side response capacity requirements for 2025, 2030, and 2060 are optimized. Based on the above analysis, the optimal evolution path of the power grid is proposed. When considering the weighted benefits of economy and environmental protection, the greater the weight of environmental protection benefits, the greater the possibility of choosing a radical scheme. The model and method proposed in this paper can provide technical reference for the future development planning and evolution analysis of new power systems.

Suggested Citation

  • Xuejun Li & Jiaxin Qian & Changhai Yang & Boyang Chen & Xiang Wang & Zongnan Jiang, 2024. "New Power System Planning and Evolution Path with Multi-Flexibility Resource Coordination," Energies, MDPI, vol. 17(1), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:1:p:273-:d:1313456
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    References listed on IDEAS

    as
    1. Abdin, Islam F. & Zio, Enrico, 2018. "An integrated framework for operational flexibility assessment in multi-period power system planning with renewable energy production," Applied Energy, Elsevier, vol. 222(C), pages 898-914.
    2. Bo Yang & Yulin Li & Wei Yao & Lin Jiang & Chuanke Zhang & Chao Duan & Yaxing Ren, 2023. "Optimization and Control of New Power Systems under the Dual Carbon Goals: Key Issues, Advanced Techniques, and Perspectives," Energies, MDPI, vol. 16(9), pages 1-4, May.
    3. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2019. "Multi-temporal assessment of power system flexibility requirement," Applied Energy, Elsevier, vol. 238(C), pages 1327-1336.
    4. Dahu Li & Xiaoda Cheng & Leijiao Ge & Wentao Huang & Jun He & Zhongwei He, 2022. "Multiple Power Supply Capacity Planning Research for New Power System Based on Situation Awareness," Energies, MDPI, vol. 15(9), pages 1-24, April.
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