Vehicle-to-Aggregator Interaction Game
By Chenye Wu, Hamed Mohsenian Rad, Jianwei Huang. IEEE Transactions on Smart Grid, 2012
374 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/2d69bb478b740fa70e4f2e0da55cdc8c67f60489
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
- Chau Yuen
- Mo-Yuen Chow
- Joy Chandra Mukherjee
- Wayes Tushar
- Arobinda Gupta
- Ramteen Sioshansi
- Fei Wu
- Zaiyue Yang
In Electrical and Electronic Engineering
- Chau Yuen
- Wayes Tushar
- Nizar Zorba
- Mo-Yuen Chow
- Christos V. Verikoukis
- Joy Chandra Mukherjee
- Arobinda Gupta
- Ramteen Sioshansi
Citations in the corpus
- A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “To avoid such challenges, the charging and discharging of multiple PHEVs should be intelligently coordinated, which can not only shave the peak demand [65], [66], but also provide frequency regulation service to smart grids [67].”
- Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches (2018, methodology): “[1], [3], [11], [14], [18], [21], [25], [29], [35], [40], [41] [23], [24], [36]”
- Coordinated Price-Maker Operation of Large Energy Storage Units in Nodal Energy Markets (2016, neutral): “Second, there are papers that combine and co-locate batteries with other energy resources, such as wind farms [17]–[19], solar farms [20], [21], or demand response aggregators [22]–[24].”
- A stochastic flow-capturing model to optimize the location of fast-charging stations with uncertain electric vehicle flows (2017, background): “Previous works on charging control include decentralized approaches, such as those examined by Wu et al. (2012); Xi and Sioshansi (2014), and centralized approaches, such as those proposed by Hu et al. (2014); Hung and Michailidis (2015).”
- Optimal Bidding, Scheduling, and Deployment of Battery Systems in California Day-Ahead Energy Market (2016, neutral): “A large number of papers in this second group tend to combine and co-locate batteries with other energy resources, such as wind farms [9], [10], solar farms [11], or demand response aggregators [12].”
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “scenario is also the objective of the game-theoretic model presented in [224].”
- A Review of Charge Scheduling of Electric Vehicles in Smart Grid (2015, background): “Decentralized charging has been explored in [35], [45], [49], [52]–[54], [56]–[58], [60]–[62], and [64].”