An analysis method of DPV hosting capacity interval in distribution networks under uncertainties
The large-scale integration of distributed photovoltaics （DPVs） has a profound impact on the secure and stable operation of distribution networks. Analysis and assessment on DPV hosting capacity can effectively assist in its rational planning and utilization. To this end， an method for analyzing the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2023-11-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=a92550c2-726b-4a4e-85e2-54189c4381e2 |
| _version_ | 1797450784988725248 |
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| author | XU Feifei FENG Hua QIN Hongpei WEN Hongjun XIE Zhiliang YE Shangxing QIU Yi |
| author_facet | XU Feifei FENG Hua QIN Hongpei WEN Hongjun XIE Zhiliang YE Shangxing QIU Yi |
| author_sort | XU Feifei |
| collection | DOAJ |
| description | The large-scale integration of distributed photovoltaics （DPVs） has a profound impact on the secure and stable operation of distribution networks. Analysis and assessment on DPV hosting capacity can effectively assist in its rational planning and utilization. To this end， an method for analyzing the DPV hosting capacity interval is proposed to calculate the maximum DPV integration capacity in distribution networks under uncertainties. Firstly， the DPV output uncertainties are quantified by means of nonparametric kernel density estimation based on the historical data， and the DPV output interval is calculated by Newton-Raphson method. Secondly， a DPV hosting capacity interval analysis model for distribution networks considering safe operation constraints is established， which is then decomposed into an optimistic submodel and a pessimistic submodel based on interval analysis theory. Then， to reduce the difficulty of model solution， the pessimistic sub-model is simplified by the equivalence transformation， and the two sub-models are solved separately to obtain the interval solution. Finally， simulation analysis is carried out in the improved 15-node distribution system and a distribution network in Lishui， Zhejiang Province. The results verify the effectiveness and practicality of the proposed method. |
| first_indexed | 2024-03-09T14:45:33Z |
| format | Article |
| id | doaj.art-9c6385438ec543ddbb4c2171dc305d12 |
| institution | Directory Open Access Journal |
| issn | 1007-1881 |
| language | zho |
| last_indexed | 2024-03-09T14:45:33Z |
| publishDate | 2023-11-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj.art-9c6385438ec543ddbb4c2171dc305d122023-11-27T08:31:59Zzhozhejiang electric powerZhejiang dianli1007-18812023-11-014211869510.19585/j.zjdl.2023110111007-1881（2023）11-0086-10An analysis method of DPV hosting capacity interval in distribution networks under uncertaintiesXU Feifei0FENG Hua1QIN Hongpei2WEN Hongjun3XIE Zhiliang4YE Shangxing5QIU Yi6State Grid Lishui Power Supply Company, Lishui, Zhejiang 323000, ChinaState Grid Lishui Power Supply Company, Lishui, Zhejiang 323000, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaState Grid Lishui Power Supply Company, Lishui, Zhejiang 323000, ChinaState Grid Lishui Power Supply Company, Lishui, Zhejiang 323000, ChinaState Grid Lishui Power Supply Company, Lishui, Zhejiang 323000, ChinaState Grid Lishui Power Supply Company, Lishui, Zhejiang 323000, ChinaThe large-scale integration of distributed photovoltaics （DPVs） has a profound impact on the secure and stable operation of distribution networks. Analysis and assessment on DPV hosting capacity can effectively assist in its rational planning and utilization. To this end， an method for analyzing the DPV hosting capacity interval is proposed to calculate the maximum DPV integration capacity in distribution networks under uncertainties. Firstly， the DPV output uncertainties are quantified by means of nonparametric kernel density estimation based on the historical data， and the DPV output interval is calculated by Newton-Raphson method. Secondly， a DPV hosting capacity interval analysis model for distribution networks considering safe operation constraints is established， which is then decomposed into an optimistic submodel and a pessimistic submodel based on interval analysis theory. Then， to reduce the difficulty of model solution， the pessimistic sub-model is simplified by the equivalence transformation， and the two sub-models are solved separately to obtain the interval solution. Finally， simulation analysis is carried out in the improved 15-node distribution system and a distribution network in Lishui， Zhejiang Province. The results verify the effectiveness and practicality of the proposed method.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=a92550c2-726b-4a4e-85e2-54189c4381e2distribution networkdpvhosting capacity analysisuncertainty analysisinterval optimization |
| spellingShingle | XU Feifei FENG Hua QIN Hongpei WEN Hongjun XIE Zhiliang YE Shangxing QIU Yi An analysis method of DPV hosting capacity interval in distribution networks under uncertainties Zhejiang dianli distribution network dpv hosting capacity analysis uncertainty analysis interval optimization |
| title | An analysis method of DPV hosting capacity interval in distribution networks under uncertainties |
| title_full | An analysis method of DPV hosting capacity interval in distribution networks under uncertainties |
| title_fullStr | An analysis method of DPV hosting capacity interval in distribution networks under uncertainties |
| title_full_unstemmed | An analysis method of DPV hosting capacity interval in distribution networks under uncertainties |
| title_short | An analysis method of DPV hosting capacity interval in distribution networks under uncertainties |
| title_sort | analysis method of dpv hosting capacity interval in distribution networks under uncertainties |
| topic | distribution network dpv hosting capacity analysis uncertainty analysis interval optimization |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=a92550c2-726b-4a4e-85e2-54189c4381e2 |
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