Conference paper
Efficient determination of distribution tariffs for the prevention of congestion from EV Charging
Department of Informatics and Mathematical Modeling, Technical University of Denmark1
Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark2
Department of Electrical Engineering, Technical University of Denmark3
Center for Electric Power and Energy, Centers, Technical University of Denmark4
A dual objective electric vehicle (EV) charging schedule optimisation is proposed here whereby both consumer driving requirements and grid constraints are respected. A day-ahead dynamic tariff (DT) for distribution systems is proposed as a price signal to EV fleet operators (FO) bidding into the day-ahead market.
The DT acts to disperse charging at congested periods and locations, thereby preventing congestion on a day-ahead basis. The magnitude of the DT is determined from a simulated locational marginal prices (LMPs), and the time extent of the DT is determined from analysis of the system loading curve prior to the application of the DT.
Case studies were performed using a sample distribution network modelled on a network from the Danish island of Bornholm. A variety of price profiles were used to illustrate the efficacy of this approach. The case study results show that this approach is highly efficient at grid congestion prevention, and the precise level of congestion that can be alleviated is dependent on the price profile of the optimisation period in question.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 1-8 |
| Proceedings: | 2012 IEEE Power and Energy Society General Meeting |
| ISBN: | 1467327271 , 146732728X , 1467327298 , 9781467327275 , 9781467327282 and 9781467327299 |
| ISSN: | 19449933 and 19449925 |
| Types: | Conference paper |
| DOI: | 10.1109/PESGM.2012.6344846 |
| ORCIDs: | O'Connell, Niamh , Wu, Qiuwei and Østergaard, Jacob |
Day-ahead Dynamic Distribution System Tariff Distribution System Constraints Electric Vehicle (EV) Charging Schedule Locational Marginal Pricing Minimum EV Charging Cost
Approximation methods Bornholm Danish island EV charging EV fleet operators Electricity Generators LMP Loading Optimization Schedules Vehicle dynamics charging schedule optimisation congestion prevention day-ahead dynamic tariff distribution systems distribution tariffs dual objective electric vehicle electric vehicles grid congestion prevention optimisation period simulated locational marginal prices tariffs
