Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles
Abstract By integrating the increasing number of electric vehicles (EVs) in the existing multi‐terminal DC system, the new power lines construct can be reduced and the investment in distribution power equipment can be saved. The integration of EVs will affect the power transfer boundary of the syste...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
|
| Series: | IET Smart Grid |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/stg2.12006 |
| _version_ | 1811212106479960064 |
|---|---|
| author | Wei Deng Wei Pei Ying Zhuang Li Kong Qiang Li Yubo Yuan |
| author_facet | Wei Deng Wei Pei Ying Zhuang Li Kong Qiang Li Yubo Yuan |
| author_sort | Wei Deng |
| collection | DOAJ |
| description | Abstract By integrating the increasing number of electric vehicles (EVs) in the existing multi‐terminal DC system, the new power lines construct can be reduced and the investment in distribution power equipment can be saved. The integration of EVs will affect the power transfer boundary of the system to a certain extent. It is necessary to ensure the normal performance of the system and the power supply for the EVs through the optimal configuration of system integration. The paper proposes the state‐space model of the low‐voltage multi‐terminal DC system, after which the influence of EV integration on the system power transfer boundary and the sensitivity of the power transfer boundary under the change of integration parameters are analysed. Furthermore, an optimization method of EV integration configuration considering the investment cost is proposed, which considers minimizing the system integration cost as the optimization goal and adopts the genetic algorithm for optimization solving. Finally, through the case verification and simulation analysis, the effectiveness of the method is verified, which can minimize the system integration cost and ensure power supply for EVs, without affecting the system power transfer boundary. |
| first_indexed | 2024-04-12T05:23:14Z |
| format | Article |
| id | doaj.art-3856206f8cde4dfe9f434c22751ab114 |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-04-12T05:23:14Z |
| publishDate | 2021-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-3856206f8cde4dfe9f434c22751ab1142022-12-22T03:46:22ZengWileyIET Smart Grid2515-29472021-02-0141769310.1049/stg2.12006Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehiclesWei Deng0Wei Pei1Ying Zhuang2Li Kong3Qiang Li4Yubo Yuan5Institute of Electrical Engineering Chinese Academy of Sciences Beijing People's Republic of ChinaInstitute of Electrical Engineering Chinese Academy of Sciences Beijing People's Republic of ChinaInstitute of Electrical Engineering Chinese Academy of Sciences Beijing People's Republic of ChinaInstitute of Electrical Engineering Chinese Academy of Sciences Beijing People's Republic of ChinaResearch Institute of State Grid Jiangsu Electric Power Co., Ltd. Nanjing Jiangsu People's Republic of ChinaResearch Institute of State Grid Jiangsu Electric Power Co., Ltd. Nanjing Jiangsu People's Republic of ChinaAbstract By integrating the increasing number of electric vehicles (EVs) in the existing multi‐terminal DC system, the new power lines construct can be reduced and the investment in distribution power equipment can be saved. The integration of EVs will affect the power transfer boundary of the system to a certain extent. It is necessary to ensure the normal performance of the system and the power supply for the EVs through the optimal configuration of system integration. The paper proposes the state‐space model of the low‐voltage multi‐terminal DC system, after which the influence of EV integration on the system power transfer boundary and the sensitivity of the power transfer boundary under the change of integration parameters are analysed. Furthermore, an optimization method of EV integration configuration considering the investment cost is proposed, which considers minimizing the system integration cost as the optimization goal and adopts the genetic algorithm for optimization solving. Finally, through the case verification and simulation analysis, the effectiveness of the method is verified, which can minimize the system integration cost and ensure power supply for EVs, without affecting the system power transfer boundary.https://doi.org/10.1049/stg2.12006genetic algorithmspower cableselectric vehiclespower apparatusdistributed power generationinvestment |
| spellingShingle | Wei Deng Wei Pei Ying Zhuang Li Kong Qiang Li Yubo Yuan Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles IET Smart Grid genetic algorithms power cables electric vehicles power apparatus distributed power generation investment |
| title | Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles |
| title_full | Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles |
| title_fullStr | Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles |
| title_full_unstemmed | Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles |
| title_short | Integration parameters optimization of low‐voltage multi‐terminal DC system under access of electric vehicles |
| title_sort | integration parameters optimization of low voltage multi terminal dc system under access of electric vehicles |
| topic | genetic algorithms power cables electric vehicles power apparatus distributed power generation investment |
| url | https://doi.org/10.1049/stg2.12006 |
| work_keys_str_mv | AT weideng integrationparametersoptimizationoflowvoltagemultiterminaldcsystemunderaccessofelectricvehicles AT weipei integrationparametersoptimizationoflowvoltagemultiterminaldcsystemunderaccessofelectricvehicles AT yingzhuang integrationparametersoptimizationoflowvoltagemultiterminaldcsystemunderaccessofelectricvehicles AT likong integrationparametersoptimizationoflowvoltagemultiterminaldcsystemunderaccessofelectricvehicles AT qiangli integrationparametersoptimizationoflowvoltagemultiterminaldcsystemunderaccessofelectricvehicles AT yuboyuan integrationparametersoptimizationoflowvoltagemultiterminaldcsystemunderaccessofelectricvehicles |