Abstract
The utility industry recognizes electrifying a significant portion of transportation is likely to occur given current market pressures such as fuel costs, energy independence, and environmental concerns. However, successful implementation of Plug-in Electric Vehicles (PEVs) requires fully evaluating what impact the additional loading may have on distribution system operations and planning. Due to the unknown spatial and temporal variations associated with PEVs, traditional distribution system analysis methods may not accurately represent system impacts. In response, EPRI has initiated a multi-year project to understand PEV system impacts with several utilities in the United States, Canada, and Europe. The goal of the study is to identify, define, and quantify impacts on utility distribution system architectures through PEV analysis in conjunction with comprehensive system analysis. This paper presents a subset of the PEV impact results determined from the EPRI study methodology for two representative Hydro-Québec distribution feeders.
| Original language | English |
|---|---|
| Title of host publication | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition 2009, EVS 24 |
| Pages | 2422-2432 |
| Number of pages | 11 |
| State | Published - 2009 |
| Event | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition 2009, EVS 24 - Stavanger, Norway Duration: 2009.05.13 → 2009.05.16 |
Publication series
| Name | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition 2009, EVS 24 |
|---|---|
| Volume | 4 |
Conference
| Conference | 24th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition 2009, EVS 24 |
|---|---|
| Country/Territory | Norway |
| City | Stavanger |
| Period | 09.05.13 → 09.05.16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Charge profile
- Deterministic models
- Distribution system
- Plug-in hybrid vehicle
- Spatial distribution
- Temporal distribution
- Thermal loading
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