Investigating the Impact of Electric Vehicle Charging Loads on CSUN's Electric Grid
Fuente:
arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
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| _version_ | 1866913508381163520 |
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| author | Aguilar, Daniel Garcia DeHay, Logan Aquino, Jahn Jensen, Erik Rodriguez, Juan Narimani, Mohammad Rasoul Carpitella, Silvia Sedghisigarchi, Kourosh Jia, Xudong |
| author_facet | Aguilar, Daniel Garcia DeHay, Logan Aquino, Jahn Jensen, Erik Rodriguez, Juan Narimani, Mohammad Rasoul Carpitella, Silvia Sedghisigarchi, Kourosh Jia, Xudong |
| contents | This paper examines the impact of electric vehicle (EV) charging stations on the capacity of distribution feeders and transformers within the electric grid at California State University Northridge (CSUN). With the increasing adoption of both residential and commercial EVs and the rapid expansion of EV charging infrastructure, it is critical to evaluate the potential overloading effects of intensive EV charging on power distribution systems. This research assesses the impact of EV charging on the operation of CSUN's electric grid, identifying potential overload risks under projected EV adoption scenarios. Detailed simulations and analyses are conducted to quantify the extent of these impacts, focusing on various levels of EV penetration and charging patterns. The study also explores the impact of distributed generation on reducing the stress incurred by EV loads. The findings provide essential insights for utility companies, highlighting the need for strategic upgrades to distribution systems. These insights will help in developing robust strategies for both current operations and future planning to accommodate growing EV charging demands, ensuring grid stability and reliability in the face of increasing electrification of the transportation sector. The modeled CSUN electric grid can be used as a benchmark to study the impact of EV loads in dense areas on various parameters of the grid. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_12876 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Investigating the Impact of Electric Vehicle Charging Loads on CSUN's Electric Grid Aguilar, Daniel Garcia DeHay, Logan Aquino, Jahn Jensen, Erik Rodriguez, Juan Narimani, Mohammad Rasoul Carpitella, Silvia Sedghisigarchi, Kourosh Jia, Xudong Optimization and Control This paper examines the impact of electric vehicle (EV) charging stations on the capacity of distribution feeders and transformers within the electric grid at California State University Northridge (CSUN). With the increasing adoption of both residential and commercial EVs and the rapid expansion of EV charging infrastructure, it is critical to evaluate the potential overloading effects of intensive EV charging on power distribution systems. This research assesses the impact of EV charging on the operation of CSUN's electric grid, identifying potential overload risks under projected EV adoption scenarios. Detailed simulations and analyses are conducted to quantify the extent of these impacts, focusing on various levels of EV penetration and charging patterns. The study also explores the impact of distributed generation on reducing the stress incurred by EV loads. The findings provide essential insights for utility companies, highlighting the need for strategic upgrades to distribution systems. These insights will help in developing robust strategies for both current operations and future planning to accommodate growing EV charging demands, ensuring grid stability and reliability in the face of increasing electrification of the transportation sector. The modeled CSUN electric grid can be used as a benchmark to study the impact of EV loads in dense areas on various parameters of the grid. |
| title | Investigating the Impact of Electric Vehicle Charging Loads on CSUN's Electric Grid |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2409.12876 |