Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/9/2394 |
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| _version_ | 1849312843275436032 |
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| author | Youzhuo Zheng Kun Zhou Yekui Yang Hanbin Diao Long Hua Renzhi Wang Kang Liu Qi Guo |
| author_facet | Youzhuo Zheng Kun Zhou Yekui Yang Hanbin Diao Long Hua Renzhi Wang Kang Liu Qi Guo |
| author_sort | Youzhuo Zheng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-76f8e858ec584aa29f5ac14a24bc8dcf |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-76f8e858ec584aa29f5ac14a24bc8dcf2025-08-20T03:52:57ZengMDPI AGEnergies1996-10732025-05-01189239410.3390/en18092394Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed PhotovoltaicsYouzhuo Zheng0Kun Zhou1Yekui Yang2Hanbin Diao3Long Hua4Renzhi Wang5Kang Liu6Qi Guo7Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaElectric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaElectric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaElectric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaThe 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.https://www.mdpi.com/1996-1073/18/9/2394distribution network in mountainous areasdistributed PVrobust optimizationhosting capacity |
| spellingShingle | Youzhuo Zheng Kun Zhou Yekui Yang Hanbin Diao Long Hua Renzhi Wang Kang Liu Qi Guo Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics Energies distribution network in mountainous areas distributed PV robust optimization hosting capacity |
| title | Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics |
| title_full | Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics |
| title_fullStr | Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics |
| title_full_unstemmed | Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics |
| title_short | Robust Assessment Method for Hosting Capacity of Distribution Network in Mountainous Areas for Distributed Photovoltaics |
| title_sort | robust assessment method for hosting capacity of distribution network in mountainous areas for distributed photovoltaics |
| topic | distribution network in mountainous areas distributed PV robust optimization hosting capacity |
| url | https://www.mdpi.com/1996-1073/18/9/2394 |
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