000015277 001__ 15277
000015277 005__ 20250109134016.0
000015277 037__ $$aCONFERENCE
000015277 039_9 $$a2025-01-09 13:40:16$$b0$$c2025-01-09 09:54:58$$d1001044$$c2025-01-09 08:43:03$$d1001044$$c2025-01-07 16:51:46$$d0$$y2025-01-07 16:51:38$$z1000099
000015277 041__ $$aeng
000015277 245__ $$aCo-simulation of behavioral and technical decisions :$$ban application to impact analysis of EV charging on hosting capacity of LV distribution network
000015277 269__ $$a2024-06
000015277 300__ $$a4 p.
000015277 506__ $$avisible
000015277 520__ $$9eng$$aThe energy transition brings an increasing penetration of electric vehicles (EVs) aligning Swiss Energy Strategy 2050. It is important for the grid planner to anticipate the possible impact of EV charging on the hosting capacity (HC) of electricity distribution network in the next years. To identify and quantify such impact, the evolution model of EV fleets, the electrical network topology and the access to proprietary data are equivalently necessary. This work studies a low voltage distribution network (LVDN) for a touristic area located in Swiss Alpine region in collaboration with the local distribution system operators (DSOs). We approach this issue with an innovative method that combines inspired agent-based model implementing insights from a Social Sciences and Humanities (SSH) and an engineering model of the local distribution grid. The co-simulation results indicate that the power demand from EVs charging will have a significant impact on the LVDN's hosting capacity, especially on holidays' eves. The DSOs should advance proactive measures to prepare for future scenarios. The developed co-simulation model can be used to explore and evaluate potential solutions for network planning and design.
000015277 540__ $$acorrect
000015277 592__ $$aHEI-VS
000015277 592__ $$bInstitut Énergie et environnement
000015277 592__ $$cIngénierie et Architecture
000015277 6531_ $$9eng$$alow voltage distribution network
000015277 6531_ $$9eng$$aelectrical vehicle
000015277 6531_ $$9eng$$asocial sciences and humanities
000015277 6531_ $$9eng$$aengineering model
000015277 6531_ $$9eng$$ahosting capacity
000015277 655_7 $$apublished full paper
000015277 700__ $$aGuo, Baoling$$uSchool of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences and Arts Western Switzerland
000015277 700__ $$aPiana, Valentino$$uSchool of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences and Arts Western Switzerland
000015277 700__ $$aPouget, Julien$$uSchool of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences and Arts Western Switzerland
000015277 700__ $$aZurbrügg, Yann$$uSchool of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences and Arts Western Switzerland
000015277 711__ $$aCIRED 2024 Conference$$cVienna, Austria$$d2024-06-19$$m2024-06-20
000015277 773__ $$tProceedings of CIRED 2024 Conference, 19-20 June 2024, Vienna, Austria$$j2024$$q162
000015277 8564_ $$uhttps://arodes.hes-so.ch/record/15277/files/Guo_2024_co-simulation_ehavioral_technical_decisions.pdf$$yPublished version$$920e32b00-c742-4f03-b5e5-b2e4c38d0273$$s7978088
000015277 906__ $$aNONE
000015277 909CO $$ooai:hesso.tind.io:15277$$pGLOBAL_SET
000015277 950__ $$aaucun
000015277 980__ $$aconference
000015277 981__ $$aconference