Distribution network planning considering active response of EVs and DTR of cables and transformers
Abstract With increasing electricity demand and large‐scale stochastic charging of electric vehicles (EVs), distribution networks face inevitable shortage of transfer capability, bringing new challenges to distribution network planning (DNP). Dynamic thermal rating (DTR), which evaluates the equipme...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-04-01
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| Series: | High Voltage |
| Online Access: | https://doi.org/10.1049/hve2.70024 |
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| author | Chen Pan Weijiang Chen Chengke Zhou Wenjun Zhou |
| author_facet | Chen Pan Weijiang Chen Chengke Zhou Wenjun Zhou |
| author_sort | Chen Pan |
| collection | DOAJ |
| description | Abstract With increasing electricity demand and large‐scale stochastic charging of electric vehicles (EVs), distribution networks face inevitable shortage of transfer capability, bringing new challenges to distribution network planning (DNP). Dynamic thermal rating (DTR), which evaluates the equipment rating based on actual meteorological conditions and equipment thermal state, can enhance the equipment transfer capability to meet the increasing load demand. In this paper, we propose a model considering the active response of EVs, and a bi‐level DNP model incorporating the DTR of cables and transformers, in the upper level, the Prim algorithm is embedded into the particle swarm optimisation (PSO) algorithm to obtain an initial grid topology; in the lower level, types of cables and transformers as well as the installation of DTR equipment are determined, second‐order cone (SOC) relaxation and linearisation of the variables product are then carried out to meet the non‐linear constraints of cables and transformers, and the upper and lower models are solved in an iterative manner. Case studies demonstrate that the implementation of DTR effectively enhances the transfer capability of cables and transformers, saving 4.8% investment cost while ensuring 96% uplift of power supply. Besides, with 90% active response rate of EVs, total cost can be further reduced. |
| format | Article |
| id | doaj-art-dde6a2aadee441ffb2bf9a7f2dc198ff |
| institution | DOAJ |
| issn | 2397-7264 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | High Voltage |
| spelling | doaj-art-dde6a2aadee441ffb2bf9a7f2dc198ff2025-08-20T03:14:01ZengWileyHigh Voltage2397-72642025-04-0110227929310.1049/hve2.70024Distribution network planning considering active response of EVs and DTR of cables and transformersChen Pan0Weijiang Chen1Chengke Zhou2Wenjun Zhou3School of Electrical Engineering and Automation Wuhan University Wuhan Hubei ChinaSchool of Electrical Engineering and Automation Wuhan University Wuhan Hubei ChinaSchool of Electrical Engineering and Automation Wuhan University Wuhan Hubei ChinaSchool of Electrical Engineering and Automation Wuhan University Wuhan Hubei ChinaAbstract With increasing electricity demand and large‐scale stochastic charging of electric vehicles (EVs), distribution networks face inevitable shortage of transfer capability, bringing new challenges to distribution network planning (DNP). Dynamic thermal rating (DTR), which evaluates the equipment rating based on actual meteorological conditions and equipment thermal state, can enhance the equipment transfer capability to meet the increasing load demand. In this paper, we propose a model considering the active response of EVs, and a bi‐level DNP model incorporating the DTR of cables and transformers, in the upper level, the Prim algorithm is embedded into the particle swarm optimisation (PSO) algorithm to obtain an initial grid topology; in the lower level, types of cables and transformers as well as the installation of DTR equipment are determined, second‐order cone (SOC) relaxation and linearisation of the variables product are then carried out to meet the non‐linear constraints of cables and transformers, and the upper and lower models are solved in an iterative manner. Case studies demonstrate that the implementation of DTR effectively enhances the transfer capability of cables and transformers, saving 4.8% investment cost while ensuring 96% uplift of power supply. Besides, with 90% active response rate of EVs, total cost can be further reduced.https://doi.org/10.1049/hve2.70024 |
| spellingShingle | Chen Pan Weijiang Chen Chengke Zhou Wenjun Zhou Distribution network planning considering active response of EVs and DTR of cables and transformers High Voltage |
| title | Distribution network planning considering active response of EVs and DTR of cables and transformers |
| title_full | Distribution network planning considering active response of EVs and DTR of cables and transformers |
| title_fullStr | Distribution network planning considering active response of EVs and DTR of cables and transformers |
| title_full_unstemmed | Distribution network planning considering active response of EVs and DTR of cables and transformers |
| title_short | Distribution network planning considering active response of EVs and DTR of cables and transformers |
| title_sort | distribution network planning considering active response of evs and dtr of cables and transformers |
| url | https://doi.org/10.1049/hve2.70024 |
| work_keys_str_mv | AT chenpan distributionnetworkplanningconsideringactiveresponseofevsanddtrofcablesandtransformers AT weijiangchen distributionnetworkplanningconsideringactiveresponseofevsanddtrofcablesandtransformers AT chengkezhou distributionnetworkplanningconsideringactiveresponseofevsanddtrofcablesandtransformers AT wenjunzhou distributionnetworkplanningconsideringactiveresponseofevsanddtrofcablesandtransformers |