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

Dai Wan, Simin Peng, Haochong Zhang (), Hanbin Diao, Peiqiang Li and Chunming Tu
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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

Energies, 2024, vol. 17, issue 13, 1-20

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.

Keywords: renewable distributed generation; hosting capacity; interval assessment; uncertainties; robust model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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