Optimal Scheduling for Charging and Discharging of Electric Vehicles
By Yifeng He, B. Venkatesh, Ling Guan. IEEE Transactions on Smart Grid, 2012
765 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/84b3243caac87ec6d37dabdcc9e772687244a178
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
- Kalpesh Chaudhari
- Hongbin Sun
- Surya Santoso
- Joy Chandra Mukherjee
- Qinglai Guo
- Arobinda Gupta
- Jianhui Wang
- Zhengshuo Li
Citations in the corpus
- Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method (2015, background): “Load leveling is of great importance for a utility company [13,20,23–27], because it helps to decrease the losses in the network [28] and reduce voltage deviations along feeders [29].”
- Hybrid Optimization for Economic Deployment of ESS in PV-Integrated EV Charging Stations (2018, background): “scheduling of EVs as loads and sources, whereas charging and discharging costs of the EVs are minimized in [22] for overnight demand shaping.”
- Electric Vehicle Charging on Residential Distribution Systems: Impacts and Mitigations (2015, background): “In [53], both global and local optimal EV control strategies are proposed to minimize the total cost of electricity that EV owners pay for EV charging.”
- A Review of Charge Scheduling of Electric Vehicles in Smart Grid (2015, background): “Some other works have focused on optimizing EV-side benefits such as minimizing charging cost [35], [37], [39], [45], minimizing both CO2 emission and charging cost [37], [39], maximizing the average SOC of EVs [48], and maximizing user convenience [49].”