Conference paper
Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services
Distributed Energy Resources, Center for Electric Power and Energy, Centers, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Department of Electrical Engineering, Technical University of Denmark3
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark4
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark5
Department of Applied Mathematics and Computer Science, Technical University of Denmark6
Vehicle-Grid Integration (VGI) research may serve to limit the self-induced adverse effects of electric vehicles (EVs) in terms of additional grid loading, but also as to make the EV an active asset in supporting a stable, economic power system based on renewable energy. Any use of the vehicle for grid services requires an accurate understanding of the user’s driving needs.
This paper proposes the introduction of a user profile, describing the energy requirements for driving in terms of an energy deadline, target and minimum. To explore the use of such a profile, the paper analyses data from a Danish pilot project where the driving patterns of ten electric Nissan e-NV200 vans are investigated in terms of leave times and energy consumption.
It is shown that the data can be fitted with a log-normal distribution that can be used to establish a per user profile which provides a certain statistical probability of fulfilling the driving needs while allowing an aggregator to optimize earnings. Initially, aggregators may apply similar driving assumptions across an entire fleet.
Considering that the driving needs of individual EV owners are different, statistical representations of the individual behaviour may result in more flexibility, and thereby time, for providing grid services. The paper quantifies the value of such added flexibility based on the Danish market for frequency containment reserves.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2018 |
| Pages: | 1-6 |
| Proceedings: | 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids |
| ISBN: | 153867954X , 153867954x , 1538679558 , 9781538679548 and 9781538679555 |
| Types: | Conference paper |
| DOI: | 10.1109/SmartGridComm.2018.8587585 |
| ORCIDs: | Andersen, Peter Bach , Sousa, Tiago , Thingvad, Andreas and Kulahci, Murat |
Automobiles Conferences Danish pilot project Data analysis Vehicle-Grid Integration Vehicle-to-grid active asset aggregator ancillary services driving patterns economic power system electric Nissan e-NV200 vans electric vehicle users electric vehicles energy consumption energy deadline energy requirements grid loading grid services individual EV owners individual behaviour individual flexibility profiles log normal distribution log-normal distribution power grids renewable energy self-induced adverse effects similar driving assumptions stable power system user profile
