Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics
Youzhuo Zheng,
Kun Zhou,
Yekui Yang,
Hanbin Diao,
Long Hua,
Renzhi Wang (),
Kang Liu and
Qi Guo
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Youzhuo Zheng: Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China
Kun Zhou: Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China
Yekui Yang: Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China
Hanbin Diao: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Long Hua: Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China
Renzhi Wang: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Kang Liu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Qi Guo: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Energies, 2025, vol. 18, issue 9, 1-17
Abstract:
The penetration rate of distributed photovoltaic (PV) in mountainous distribution networks is increasing year by year, and the assessment of distributed PV hosting capacity (PVHC) in distribution networks in mountainous areas is also becoming more and more important. To this end, this paper proposes a robust assessment method for distributed PVHC of flexible distribution networks in mountainous areas. The method utilizes soft open point (SOP) and energy storage to realize the flexible interconnection of distribution networks in mountainous areas, connecting the low-voltage nodes at the end of distribution networks in mountainous areas and improving the overall power quality of distribution networks. Secondly, the output curves of distributed PV output and load demand are analyzed and the distributed PV uncertainty model is drawn, so as to construct a two-layer robust assessment model of distributed PVHC for mountainous flexible distribution networks. Finally, the dual-layer robust assessment model, which cannot be solved directly, is transformed into a solvable mixed-integer linear programming model using the pairwise method, and the effectiveness of this paper’s method is verified by the simulation results of the IEEE 33-node distribution network system.
Keywords: distribution network in mountainous areas; distributed PV; robust optimization; hosting capacity (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: 2025
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