Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load
| Autor: | Cheryl McNamara, Phillip Paevere, Zhengen Ren, Mark E. T. Horn, Andrew Higgins, George Grozev |
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| Rok vydání: | 2013 |
| Předmět: |
Global and Planetary Change
Health (social science) Mains electricity business.product_category Sociology and Political Science Ecology Electrical load Geography Planning and Development Environmental engineering Groundwater recharge Management Monitoring Policy and Law Electric vehicle Environmental science Operations management business Nature and Landscape Conservation |
| Zdroj: | Sustainability Science. 9:61-76 |
| ISSN: | 1862-4057 1862-4065 |
| DOI: | 10.1007/s11625-013-0235-3 |
| Popis: | This paper presents a composite methodology for obtaining spatial and temporal projections of charging demand and peak-shaving potential from plug-in electric vehicles (EVs), and the associated spatio-temporal impacts on peak household electrical load. The methodology comprises a suite of models of future EV uptake, travel by households, household electricity demand and recharge/discharge of EVs at their home locations. The analysis is disaggregated to hourly time-steps over a full year, and spatially to mesh blocks comprising around 250 houses per block. The modelling suite is applied to an analysis of peak household load impacts across the state of Victoria, Australia, under nine different combinations of EV uptake and charging/discharging behaviour. The projected increase in peak household electrical loads under expected penetration rates and charging demands is less than 10 % on most high-demand days, but can be up to 15 % on a handful of days and geographic locations. Peak-load impacts under off-peak charging are mostly less than 5 %. With judicious EV discharging strategies, there is potential to shave peak loads on the highest demand days by up to 5 %. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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