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Collaborative Planning of Source–Grid–Load–Storage Considering Wind and Photovoltaic Support Capabilities

Author

Listed:
  • Bin Wang

    (Northeast Branch of State Grid Corporation of China, Shenyang 110170, China)

  • Zengyao Tian

    (Northeast Branch of State Grid Corporation of China, Shenyang 110170, China)

  • Haotian Yang

    (Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China)

  • Chunshan Li

    (Northeast Branch of State Grid Corporation of China, Shenyang 110170, China)

  • Xingwei Xu

    (Northeast Branch of State Grid Corporation of China, Shenyang 110170, China)

  • Shiyu Zhu

    (Northeast Branch of State Grid Corporation of China, Shenyang 110170, China)

  • Ershun Du

    (Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China)

  • Ning Zhang

    (Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China)

Abstract

With the transformation of the global energy structure and the rapid development of new power generation technologies, new power system planning faces the challenge of multi-source–storage coordinated deployment. This paper proposes a new power system planning method, the collaborative planning of source–grid–load–storage, considering wind and photovoltaic power generation systems. First, taking into account the access of renewable energy such as wind and solar power, a renewable energy output model is constructed. Secondly, a typical intraday dispatch model of the new power system is constructed; on this basis, by adding constraints of different types of power sources, a multi-source and storage coordinated deployment planning model is constructed. Finally, through actual case studies in three provinces of Northeast China, the effectiveness of the proposed method is analyzed and verified. The results show that compared with traditional planning methods, the method proposed in this paper can significantly improve the economy and environmental friendliness of the system while meeting the requirements of power supply security.

Suggested Citation

  • Bin Wang & Zengyao Tian & Haotian Yang & Chunshan Li & Xingwei Xu & Shiyu Zhu & Ershun Du & Ning Zhang, 2025. "Collaborative Planning of Source–Grid–Load–Storage Considering Wind and Photovoltaic Support Capabilities," Energies, MDPI, vol. 18(8), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:8:p:2045-:d:1636002
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    References listed on IDEAS

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    1. Wei, Hongyi & Ma, Mingchen & Jiang, Haiyang & Capuder, Tomislav & Teng, Fei & Strbac, Goran & Zhang, Jiawei & Zhang, Ning & Kang, Chongqing, 2025. "Generation and transmission expansion planning incorporating economically feasible heterogeneous demand-side resources," Applied Energy, Elsevier, vol. 381(C).
    2. Lai, Chunyang & Kazemtabrizi, Behzad, 2024. "A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation," Applied Energy, Elsevier, vol. 371(C).
    3. Fang, Yuchen & Han, Jianpei & Du, Ershun & Jiang, Haiyang & Fang, Yujuan & Zhang, Ning & Kang, Chongqing, 2024. "Electric energy system planning considering chronological renewable generation variability and uncertainty," Applied Energy, Elsevier, vol. 373(C).
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    Cited by:

    1. Benhong Wang & Ligui Wu & Peng Zhang & Fangqing Zhang & Jiang Guo, 2025. "Multi-Level Coordination-Level Evaluation Study of Source-Grid-Load-Storage Based on AHP-Entropy Weighting," Energies, MDPI, vol. 18(16), pages 1-14, August.

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