Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles
Creators
- 1. VTT Technical Research Centre of Finland, P.O. Box 1000, 02044 VTT (Finland)
- 2. Riso DTU, Technical University of Denmark, P.O. Box 49, DK-4000 Roskilde (Denmark)
Description
The article estimates the costs of plug-in electric vehicles (EVs) in a future power system as well as the benefits from smart charging and discharging EVs (smart EVs). To arrive in a good estimate, a generation planning model was used to create power plant portfolios, which were operated in a more detailed unit commitment and dispatch model. In both models the charging and discharging of EVs is optimised together with the rest of the power system. Neither the system cost nor the market price of electricity for EVs turned out to be high (36-263 Euro /vehicle/year in the analysed scenarios). Most of the benefits of smart EVs come from smart timing of charging although benefits are also accrued from provision of reserves and lower power plant portfolio cost. The benefits of smart EVs are 227 Euro /vehicle/year. This amount has to cover all expenses related to enabling smart EVs and need to be divided between different actors. Additional benefits could come from the avoidance of grid related costs of immediate charging, but these were not part of the analysis. -- Research highlights: → The costs of 'smart' and 'dumb' electric vehicles were estimated. → The power system benefits of smart electric vehicles were 227 Euro /vehicle/year. → Two models were used: a generation planning model and a unit commitment model. → Impact of electric vehicles in the long-term power plant portfolio are important. → A model for electric vehicles was made for the stochastic unit commitment model.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2010.12.053Additional details
Identifiers
- DOI
- 10.1016/j.energy.2010.12.053;
- PII
- S0360-5442(10)00759-0;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 36
- Journal Issue
- 3
- Journal Page Range
- p. 1758-1767
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45018155
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- COST; ECONOMICS; ELECTRICITY; ELECTRIC-POWERED VEHICLES; MARKET; PLANNING; POWER GENERATION; POWER PLANTS; POWER SYSTEMS; PRICES; STOCHASTIC PROCESSES
- Descriptors DEC
- ENERGY SYSTEMS; VEHICLES
Optional Information
- Copyright
- Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.