Name
Abstract | ||
|---|---|---|
In this paper, we present a novel distributed control technique to distribute renewable energy resources to consumers in a future large-scale power grid connecting real-time end-use devices to anticipate demand automatically. The proposed technique, which integrates tie-set graph theory with an intelligent agent system, effectively divides the power grid into a set of loops. Autonomous agents constantly navigate the grid to dynamically synchronize state information among tie-sets and completely automate the future power grid. The supply and load of electric power at every instant can be balanced even if the future load is uncertain and renewable generation is highly variable and unpredictable. Simulation results on a one hundred-node network demonstrate the optimal real-time distribution of renewables and thus the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SmartGridComm.2012.6486020 | Smart Grid Communications |
Keywords | Field | DocType |
distributed control,distributed power generation,graph theory,intelligent control,power distribution control,power grids,renewable energy sources,autonomous intelligent agent system,distributed control technique,electric power load,electric power supply,hundred-node network,large-scale power grid automation,optimal real-time renewable energy resource distribution,renewable generation,state information synchronization,tie-set graph theory | Intelligent control,Electric power,Intelligent agent,Autonomous agent,Smart grid,Load balancing (electrical power),Real-time computing,Dynamic demand,Engineering,Grid,Distributed computing | Conference |
ISSN | ISBN | Citations |
2373-6836 | 978-1-4673-0909-7 | 5 |
PageRank | References | Authors |
0.72 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiyoshi Nakayama | 1 | 27 | 7.51 |
| Kyle E. Benson | 2 | 11 | 1.41 |
| Lubomir F. Bic | 3 | 147 | 19.23 |
| Michael B. Dillencourt | 4 | 23 | 2.67 |