Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services
By Eric Sortomme, Mohamed A. El-Sharkawi. IEEE Transactions on Smart Grid, 2012
692 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/41ba7261d8a8f1998f35364ee28aef39e614f115
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Electrical and Electronic Engineering
- Qiuwei Wu
- Hongbin Sun
- Nizar Zorba
- Surya Santoso
- Christos V. Verikoukis
- Qinglai Guo
- Alexander W. Dowling
- Jianhui Wang
Citations in the corpus
- Survey on blockchain for Internet of Things (2019, background): “Since electric vehicles(EVs) received electricity from two parts that include both the grid and other EVs, the above pattern will generate an extensive payment records of electricity usage [90].”
- Electric Vehicle Charging on Residential Distribution Systems: Impacts and Mitigations (2015, background): “In [45] and [46], the optimal charging control for EVs is achieved by optimizing the energy usage of the distributed EVs for V2G frequency regulation services.”
- Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management (2014, positive): “The effectiveness of using EVs to provide peak load shaving and extra flexibility has been illustrated in [4] and [5].”
- A multi-scale optimization framework for electricity market participation (2017, background): “Several other papers consider simultaneous sale of energy and ancillary services in the day-ahead market alone [41,49,55,45,40] or analyze only regulation revenues [3,44].”
- Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects (2016, neutral): “Yes [28], [29], [33]”
- Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method (2015, background): “12 USD/kW h, which covers the battery life loss caused by discharging [49]; and the charging price in f n3 was 0.”
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “problem, but for a bidirectional V2G system in [192], to higher benefits for the utilities, although bidirectional V2G systems introduce higher risks due to the extra capital costs for the”