A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids
By Zhong Fan. IEEE Transactions on Smart Grid, 2012
402 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/be33121e8dd8e45294c0c7402d278896aafcd557
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
- Ming Zhou
- Joy Chandra Mukherjee
- Yeojun Kim
- Jacopo Guanetti
- Arobinda Gupta
- Yan Zhang
- Bo Chai
- Gengyin Li
In Electrical and Electronic Engineering
- Ming Zhou
- Nizar Zorba
- Christos V. Verikoukis
- Joy Chandra Mukherjee
- Yu-Chu Tian
- Yeojun Kim
- Jacopo Guanetti
- Arobinda Gupta
Citations in the corpus
- A Review of Charge Scheduling of Electric Vehicles in Smart Grid (2015, background): “Fan [61] assumed that the vehicle owners have the information of the current price that is proportional to the overall system load.”
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “Many researchers have been inspired by the distributive nature of the Internet, to provide efficient control mechanisms in smart grid environments [91]–[93].”
- Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach (2014, methodology): “In this paper, the DRM problem with multiple utility companies and multiple residential users is formulated as a two-level game model.”
- A Secure Charging Scheme for Electric Vehicles With Smart Communities in Energy Blockchain (2019, background): “[47], and [48], the natural logarithmic function has been extensively accepted in modeling the utilities of energy buyers.”
- Optimal residential community demand response scheduling in smart grid (2018, background): “[24] presents an algorithm for distributed demand response, where residents are not aggregated and scheduled by LA. Ref.”
- Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “Other related topics are grid balancing and the interactions with smart grids [47, 48, 49].”