Name
Abstract | ||
|---|---|---|
This paper exploits the analogy between the electrical grid and modern communication networks to implement Electric Vehicle (EV) battery charging scheduling algorithms inspired by popular communication network techniques. In preliminary works, a similar approach was used to manage the Grid-to-Vehicle (G2V) active power flows. In this paper, we extend this framework to both implement the Vehicle-to-Grid (V2G) concept and to provide reactive power compensation capabilities that do not affect charging times. The ability of the proposed algorithms to optimally share the available/desired power in a fair way, with minimum communication requirements, in a very uncertain, dynamically changing framework, is illustrated through several examples for different scenarios of interest. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1080/00207179.2013.868930 | INTERNATIONAL JOURNAL OF CONTROL |
Keywords | Field | DocType |
EV charging, AIMD, distributed algorithms | Telecommunications network,Control theory,Scheduling (computing),Electric vehicle,Exploit,AC power,Real-time computing,Distributed algorithm,Electrical grid,Engineering,Battery (electricity) | Journal |
Volume | Issue | ISSN |
87 | 6 | 0020-7179 |
Citations | PageRank | References |
4 | 0.45 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Studli | 1 | 51 | 5.81 |
| Emanuele Crisostomi | 2 | 178 | 22.96 |
| Richard H. Middleton | 3 | 902 | 116.50 |
| Robert Shorten | 4 | 269 | 24.19 |