Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles
The surge of new loads such as the electric vehicles (EVs) and the large-scale integration of photovoltaics (PVs) pose a significant impact on the safe and economic operation of the distribution network. To evaluate the maximum available capacity of the distribution network, this paper analyzes the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472201589X |
| _version_ | 1797900638455070720 |
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| author | Yong Guo Qiuyan Li Jie Ma Shaoli Quan Pengzhe Ren Zhengbo Li Youbo Liu |
| author_facet | Yong Guo Qiuyan Li Jie Ma Shaoli Quan Pengzhe Ren Zhengbo Li Youbo Liu |
| author_sort | Yong Guo |
| collection | DOAJ |
| description | The surge of new loads such as the electric vehicles (EVs) and the large-scale integration of photovoltaics (PVs) pose a significant impact on the safe and economic operation of the distribution network. To evaluate the maximum available capacity of the distribution network, this paper analyzes the charging profile of the EVs, and established the model that predicts the medium- and long-term charging load of the EVs. Then, the maximum available capacity evaluation model that considers the distribution network reconfiguration under the influences of the EVs and PVs is developed. The proposed model is solved using the second-order cone relaxation technique. Besides, to determine the best location of the PVs, the genetic algorithm with the elite retention strategy is adopted to obtain the optimum allocation of the PVs. Simulation results carried out on the modified test system that includes two IEEE 33-bus systems show that the proposed method can accurately evaluate the maximum available capacity of the distribution network, and quantify the effect of the network reconfiguration and PVs on the maximum supply capability of the distribution network. In addition, the proposed method can also provide the theoretical support for the optimum investment in the distribution network. |
| first_indexed | 2024-04-10T08:49:10Z |
| format | Article |
| id | doaj.art-8214cff190bc453496ca19f808e42e69 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T08:49:10Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-8214cff190bc453496ca19f808e42e692023-02-22T04:31:32ZengElsevierEnergy Reports2352-48472022-11-01811431151Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehiclesYong Guo0Qiuyan Li1Jie Ma2Shaoli Quan3Pengzhe Ren4Zhengbo Li5Youbo Liu6State Grid Henan Electric Power Company Economic and Technical Research Institute, Zhengzhou, 450000, ChinaState Grid Henan Electric Power Company Economic and Technical Research Institute, Zhengzhou, 450000, ChinaState Grid Henan Electric Power Company Economic and Technical Research Institute, Zhengzhou, 450000, ChinaState Grid Henan Electric Power Company Economic and Technical Research Institute, Zhengzhou, 450000, ChinaSchool of Electrical Engineering, Sichuan University, Chengdu, 610065, China; Jiaxing Power Supply Company of State Grid Zhejiang Electric Power Company, Jiaxing, 314000, ChinaSchool of Electrical Engineering, Sichuan University, Chengdu, 610065, China; Corresponding author.School of Electrical Engineering, Sichuan University, Chengdu, 610065, ChinaThe surge of new loads such as the electric vehicles (EVs) and the large-scale integration of photovoltaics (PVs) pose a significant impact on the safe and economic operation of the distribution network. To evaluate the maximum available capacity of the distribution network, this paper analyzes the charging profile of the EVs, and established the model that predicts the medium- and long-term charging load of the EVs. Then, the maximum available capacity evaluation model that considers the distribution network reconfiguration under the influences of the EVs and PVs is developed. The proposed model is solved using the second-order cone relaxation technique. Besides, to determine the best location of the PVs, the genetic algorithm with the elite retention strategy is adopted to obtain the optimum allocation of the PVs. Simulation results carried out on the modified test system that includes two IEEE 33-bus systems show that the proposed method can accurately evaluate the maximum available capacity of the distribution network, and quantify the effect of the network reconfiguration and PVs on the maximum supply capability of the distribution network. In addition, the proposed method can also provide the theoretical support for the optimum investment in the distribution network.http://www.sciencedirect.com/science/article/pii/S235248472201589XUrban distribution networkPower supply capacityElectric vehiclesNetwork reconfigurationSecond-order cone relaxation |
| spellingShingle | Yong Guo Qiuyan Li Jie Ma Shaoli Quan Pengzhe Ren Zhengbo Li Youbo Liu Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles Energy Reports Urban distribution network Power supply capacity Electric vehicles Network reconfiguration Second-order cone relaxation |
| title | Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles |
| title_full | Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles |
| title_fullStr | Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles |
| title_full_unstemmed | Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles |
| title_short | Maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles |
| title_sort | maximum available capacity evaluation of distribution network considering photovoltaics and electric vehicles |
| topic | Urban distribution network Power supply capacity Electric vehicles Network reconfiguration Second-order cone relaxation |
| url | http://www.sciencedirect.com/science/article/pii/S235248472201589X |
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