Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability
Japan aims to achieve carbon neutrality by 2050, with a target of 100% sale of electric vehicles (EVs) by 2035. An increase in EV charging demand changes the characteristics of load demand and in turn, affects power system stability. Therefore, a load model that considers EV charger characteristics...
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| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/11002605/ |
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| author | Muneki Masuda Hayato Satoh |
| author_facet | Muneki Masuda Hayato Satoh |
| author_sort | Muneki Masuda |
| collection | DOAJ |
| description | Japan aims to achieve carbon neutrality by 2050, with a target of 100% sale of electric vehicles (EVs) by 2035. An increase in EV charging demand changes the characteristics of load demand and in turn, affects power system stability. Therefore, a load model that considers EV charger characteristics is required. We had developed and verified an EV charger model through a root mean square analysis following balanced faults. To an extent, this model represents the voltage and frequency responses caused by balanced faults. However, it is based on only one representative manufacturer, and the model’s versatility and practicality need improvement. This study experimentally investigated the responses of EV chargers manufactured by several manufacturers. Each EV charger’s response was characterized. The developed model was improved to represent the response of each EV charger. The model parameters for each charger type were identified by comparing and validating the measured and simulated responses following balanced faults. An excellent match between the measured and simulated responses demonstrated that the developed model and the identified parameters accurately simulated the response following balanced faults. This model and the identified parameters can enable a more accurate assessment of EV charger impact on power system stability. |
| format | Article |
| id | doaj-art-1e7e2b97eb4e4626bdb008c34a75d61e |
| institution | OA Journals |
| issn | 2687-7910 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-1e7e2b97eb4e4626bdb008c34a75d61e2025-08-20T02:32:18ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102025-01-011228429610.1109/OAJPE.2025.356930211002605Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer VariabilityMuneki Masuda0https://orcid.org/0009-0000-2392-1724Hayato Satoh1https://orcid.org/0000-0002-8037-6651Grid Innovation Research Laboratory, Central Research Institute of Electric Power Industry, Kanagawa, JapanGrid Innovation Research Laboratory, Central Research Institute of Electric Power Industry, Kanagawa, JapanJapan aims to achieve carbon neutrality by 2050, with a target of 100% sale of electric vehicles (EVs) by 2035. An increase in EV charging demand changes the characteristics of load demand and in turn, affects power system stability. Therefore, a load model that considers EV charger characteristics is required. We had developed and verified an EV charger model through a root mean square analysis following balanced faults. To an extent, this model represents the voltage and frequency responses caused by balanced faults. However, it is based on only one representative manufacturer, and the model’s versatility and practicality need improvement. This study experimentally investigated the responses of EV chargers manufactured by several manufacturers. Each EV charger’s response was characterized. The developed model was improved to represent the response of each EV charger. The model parameters for each charger type were identified by comparing and validating the measured and simulated responses following balanced faults. An excellent match between the measured and simulated responses demonstrated that the developed model and the identified parameters accurately simulated the response following balanced faults. This model and the identified parameters can enable a more accurate assessment of EV charger impact on power system stability.https://ieeexplore.ieee.org/document/11002605/Balanced faultelectric vehicle (EV) chargerslaboratory testload characteristicsmodelingpower system |
| spellingShingle | Muneki Masuda Hayato Satoh Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability IEEE Open Access Journal of Power and Energy Balanced fault electric vehicle (EV) chargers laboratory test load characteristics modeling power system |
| title | Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability |
| title_full | Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability |
| title_fullStr | Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability |
| title_full_unstemmed | Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability |
| title_short | Enhanced Root Mean Square Model for Electric Vehicle Chargers: Addressing Balanced Faults With Multi-Manufacturer Variability |
| title_sort | enhanced root mean square model for electric vehicle chargers addressing balanced faults with multi manufacturer variability |
| topic | Balanced fault electric vehicle (EV) chargers laboratory test load characteristics modeling power system |
| url | https://ieeexplore.ieee.org/document/11002605/ |
| work_keys_str_mv | AT munekimasuda enhancedrootmeansquaremodelforelectricvehiclechargersaddressingbalancedfaultswithmultimanufacturervariability AT hayatosatoh enhancedrootmeansquaremodelforelectricvehiclechargersaddressingbalancedfaultswithmultimanufacturervariability |