Name
Abstract | ||
|---|---|---|
Large deployment of Electric Vehicles (EVs) adds new challenges in the operation of a microgrid. Assuming that a number of EV owners allow their batteries to charge when their cars are parked, this paper proposes an approach that aims to find suitable individual active power set-points corresponding to the hourly charging rate of each EV battery connected to the microgrid. A multi agent system based controller is designed to find these active power set points for optimal power management of EVs, distributed energy resources in the microgrid, and the loads. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.eswa.2013.06.007 | Expert Syst. Appl. |
Keywords | Field | DocType |
micro grid,suitable individual active power,new challenge,optimal power management,energy resource,multi agent system,large deployment,ev penetration,active power set point,ev owner,intelligent power management,electric vehicles,ev battery,artificial immune system,decentralized control | Power management,Automotive engineering,Data mining,Control theory,Decentralised system,Simulation,Computer science,Multi-agent system,AC power,Distributed generation,Battery (electricity),Microgrid | Journal |
Volume | Issue | ISSN |
40 | 16 | 0957-4174 |
Citations | PageRank | References |
2 | 0.71 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bhuvaneswari Ramachandran | 1 | 2 | 0.71 |
| Sanjeev K. Srivastava | 2 | 48 | 6.34 |
| David A. Cartes | 3 | 64 | 11.09 |