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Interval Assessment Method for Distribution Network Hosting Capacity of Renewable Distributed Generation

Author

Listed:
  • Dai Wan

    (Electric Power Research Institute, State Grid Hunan Electric Power Company, Changsha 410007, China)

  • Simin Peng

    (Electric Power Research Institute, State Grid Hunan Electric Power Company, Changsha 410007, China)

  • Haochong Zhang

    (College of Electrical, Electronic and Physical Sciences, Fujian University of Technology, Fuzhou 350011, China)

  • Hanbin Diao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410012, China)

  • Peiqiang Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410012, China)

  • Chunming Tu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410012, China)

Abstract

The traditional fixed value assessment of the renewable distributed energy hosting capacity of a distribution network cannot accurately and comprehensively reflect the change in hosting capacity; therefore, we propose the interval assessment method for the renewable distributed energy hosting capacity of a distribution network. The renewable distributed energy hosting capacity interval consists of an optimistic upper boundary and a pessimistic lower boundary. First, the optimistic upper bound is described by a deterministic model that takes into account the constraints of safe system operation. Second, the pessimistic lower bound is portrayed by a two-layer robust assessment model that accounts for the DG temporal uncertainty, DG spatial uncertainty, and active distribution network flexible resource dispatch uncertainty. Each pessimistic sub-model was constructed in turn, and then the model was solved by linear simplification using pairwise transformation, as well as McCormick relaxation. Finally, simulations were carried out in the IEEE 135 system, and the results validated the effectiveness and practicality of the proposed method.

Suggested Citation

  • Dai Wan & Simin Peng & Haochong Zhang & Hanbin Diao & Peiqiang Li & Chunming Tu, 2024. "Interval Assessment Method for Distribution Network Hosting Capacity of Renewable Distributed Generation," Energies, MDPI, vol. 17(13), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3271-:d:1428271
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    Cited by:

    1. Luka Strezoski, 2025. "Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources," Energies, MDPI, vol. 18(3), pages 1-3, February.

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